function [x,y,xaxes,yaxes] = ndlookico(action, option, blkMaskType, tableData, interp_or_bp, varargin) %NDLOOKICO icon data for LookupNDInterp blocks % % Rob Aberg, 28-July-1999 % Copyright 1990-2003 The MathWorks, Inc. % $Revision: 1.7.2.3 $ $Date: 2004/04/15 00:31:56 $ % --- Init errFlag = 0; doSelect = false; % --- Definition of a "big" table - if a table has more % points than this, plot a default icon for performance % reasons. tableLengthThreshold = 1000; % --- Cache the block handle blk = gcbh; % --- Default 1-D icon table values default1Ddata = [-0.9999, -0.9993, -0.9951, -0.9640, -0.7616, 0, ... 0.7616, 0.9640, 0.9951, 0.9993, 0.9999 ]; %============================================================================== % % Handle special cases: plot data, default plot, bare call % if (nargin == 0) action = 'dynamic'; % mask callback elseif ~any(strcmp(action, {'kfdyn','predyn','bpplotdata','bppatchdata'})), if strcmp( blkMaskType, 'LookupNDInterpIdx' ), % --- Make plot data for the Interpolation n-D Using Prelookup block, % check table shape before proceeding % % tableData - table data % interp_or_bp - interpMethod doSelect = true; if isempty(tableData) || isempty(interp_or_bp) || ~isnumeric(tableData) % empty table data or non-numeric array errFlag = 1; else tableSize = size(tableData); % vector numDims = length(tableSize); tableLength = prod(tableSize); % length if tableLength > tableLengthThreshold, % --- The data is "big", % so plot a default icon if option == 1, % 1-D lookup table bpData = -5:5; value = default1Ddata; %this is tanh(bpData); else % >1-D lookup table bpData = 1:3; value = [4 5 6;16 19 20;10 18 23]; end switch interp_or_bp case 1 action = 'flatplot'; otherwise action = 'lineplot'; end else % --- Have some actual values to plot, see if table data is OK if numDims == 2 if ~( (option == 1 && (tableSize(1)==1 || tableSize(2)==1)) || option == 2 ) % non-vector table for 1-D or % matrix table for not 2-D lookup errFlag = 1; end elseif numDims ~= option errFlag = 1; end % --- Create some dummy X values since this block doesn't % have any breakpoints to go with the table data if errFlag == 0, switch interp_or_bp case 1 action = 'flatplot'; otherwise action = 'lineplot'; dims = size(tableData); if option == 1, bpData = 1:tableLength; value = double(tableData); elseif option == 2, % only need the 1st breakpoint set bpData = 1:dims(1); value = double(tableData); elseif option == 3, % only need the 1st breakpoint set and % first 2-D table subset to plot bpData = 1:dims(1); value = double(tableData(:,:,1)); end end % switch get_param(blk,'interpMethod') end % if errFlag == 0, end % if tableLength > tableLengthThreshold, end % isempty(varargin{1}) | ~isnumeric(varargin{1}) elseif strcmp( blkMaskType, 'LookupNDInterp' ), % --- Make plot data for the n-D Lookup block, % check table shape before proceeding % tableData - table data % interp_or_bp - first breakpoints if isempty(interp_or_bp) || ~isnumeric(interp_or_bp) % empty breakpoint data errFlag = 1; elseif isempty(tableData) || ~isnumeric(tableData) % empty table data errFlag = 1; else [bpR, bpC] = size(interp_or_bp); length_bp = (bpR * bpC); if (bpR > 1) && (bpC > 1) % break points are not vector errFlag = 1; else tableSize = size(tableData); % vector numDims = length(tableSize); % number tableLength = prod(tableSize); % length if tableLength > tableLengthThreshold, % --- The data is "big", % so plot the default icon if option == 1, bpData = -5:5; value = default1Ddata; % this is tanh(bpData); else bpData = 1:3; value = [4 5 6;16 19 20;10 18 23]; end else % --- Have some data to convert for plotting if numDims == 2, if option == 1 && (tableSize(1)==1 || tableSize(2)==1) % 1-D lookup table if length_bp ~= tableSize(1) && ... length_bp ~= tableSize(2) % inconsistent size of breakpoints and table data errFlag = 1; end elseif option == 2 % 2-D lookup table if length_bp ~= tableSize(1) % inconsistent size of breakpoints and table data errFlag = 1; end else errFlag = 1; end else % >2-D lookup table if numDims ~= option || length_bp ~= tableSize(1) % inconsistent size of breakpoints and table data errFlag = 1; end end % --- If all is well, extract some numbers for making % plot coordinates if errFlag == 0 && strcmp(action,'lineplot'), if option < 3, bpData = double(interp_or_bp); value = double(tableData); elseif option == 3, bpData = double(interp_or_bp); value = double(tableData(:,:,1)); end end end % if length(varargin{2}) == 1, end %if (bpR > 1) & (bpC > 1) end % if interp_or_bp end % if blkMaskType == end % if (nargin == 0), % if table given doesn't match dimensions specified, % draw a question mark and return immediately if errFlag == 1 x = 0.1 * [ 3.5 4 5 6 5 4 4 NaN 4 3.5 4 4.5 4 ]; y = 0.1 * [ 6.5 7 7 6 5 5 4 NaN 3 2.5 2 2.5 3 ]; xaxes = [ 0.05 0.05 0.9 ]; yaxes = [ 0.8 0.05 0.05 ]; return; end % % ============================================================================= % % Handle each type of action request % % The final opertion performed depends on the ACTION and OPTION variables % switch (action) case 'flatplot' Xoff = 0.05; Xscale = 0.85; Yoff = (-0.05); Yscale = 0.75; x_flatplot = [0.1000 0.1125 0.1000 0.0875 0.1000 0.1125 0.1000 ... 0.2625 0.2625 0.2750 0.2625 0.2500 0.2625 0.2750 ... 0.2625 0.4250 0.4250 0.4375 0.4250 0.4125 0.4250 ... 0.4375 0.4250 0.6125 0.6125 0.6250 0.6125 0.6000 ... 0.6125 0.6250 0.6125 0.7750 0.7750 0.7875 0.7750 ... 0.7625 0.7750 0.7875 0.7750 0.8875 0.8875 0.9000 ... 0.8875 0.8750 0.8875 0.9000 0.8875 0.9500 0.9500 ... 0.9625 0.9500 0.9375 0.9500 0.9625 0.9500 ]; y_flatplot = [0.2500 0.2500 0.2625 0.2500 0.2375 0.2500 0.2500 ... 0.2500 0.4375 0.4375 0.4500 0.4375 0.4250 0.4375 ... 0.4375 0.4375 0.5125 0.5125 0.5250 0.5125 0.5000 ... 0.5125 0.5125 0.5125 0.4250 0.4250 0.4375 0.4250 ... 0.4125 0.4250 0.4250 0.4250 0.7375 0.7375 0.7500 ... 0.7375 0.7250 0.7375 0.7375 0.7375 0.9500 0.9500 ... 0.9625 0.9500 0.9375 0.9500 0.9500 0.9500 0.6500 ... 0.6500 0.6625 0.6500 0.6375 0.6500 0.6500 ]; x = x_flatplot * Xscale + Xoff; y = y_flatplot * Yscale + Yoff; case 'lineplot' Xoff = 0.05; Xscale = 0.85; Yoff = 0.05; Yscale = 0.70; switch (option) case 1 % 1-D table [nr,nc] = size(value); minx = bpData(1); maxx = bpData(length(bpData)); den = (maxx - minx); if den == 0, den = 1; end x = Xoff + Xscale*(bpData-minx)/den; x = reshape(x,length(x),1); if nr > 1 && nc > 1 % Never hit here x = [0.33 0.66 NaN 0.33 0.66]; y = [0.33 0.66 NaN 0.66 0.33]; else minv = min(value); maxv = max(value); den = maxv - minv; if den == 0, if maxv == 0, den = 1; minv = (-0.5); else den = 2*maxv; minv = 0; end end y = Yoff + Yscale*(value-minv)/den; y = reshape(y,length(y),1); end case 2 % 2-D table [nr,nc] = size(value); minx = bpData(1); maxx = bpData(nr); den = maxx - minx; if den == 0, if maxx == 0, den = 1.0; minx = (-0.5); else den = 2*maxx; minx = 0; end end x = Xoff + Xscale*(bpData(1:nr) - minx)/den; x = reshape(x,length(x),1); % x = repmat(x,1,nc) is implemented be the following % code for better performance x_rep = x; for i = 1 : nc-1 x = [x, x_rep]; end minv = min(min(value)); maxv = max(max(value)); den = maxv - minv; if den == 0, if maxv == 0, den = 1; minv = (-0.5); else den = 2*maxv; minv = 0; end end y = Yoff + Yscale*(value-minv)/den; case 3 % 3-D table dims = size(value); minx = bpData(1); maxx = bpData(dims(1)); den = (maxx - minx); if den == 0, den = 1; end x = Xoff + Xscale*(bpData(1:dims(1)) - minx)/den; x = reshape(x,length(x),1); x = repmat(x,1,dims(2)); v = value(:,:,1); minv = min(min(v)); maxv = max(max(v)); den = maxv - minv; if den == 0, if maxv == 0, den = 1; minv = (-0.5); else den = 2*maxv; minv = 0; end end y = Yoff + Yscale*(v-minv)/den; otherwise % 4-D table or higher x_other = [0.8000 0.8222 0.7222 0.9556 0.9000 0.7889 0.6778 ... 0.5556 0.4444 0.3111 0.2333 0.2000 0.2222 0.2889 ... 0.3556 0.4000 0.4889 0.3444 0.2778 0.2444 0.1333 ... 0.0889 0.0556 0.0222 0.0333 0.0889 0.2667 0.3111 ... 0.3667 0.4778 0.4444 0.3111 0.1333 0.0556 0.1000 ... 0.2333 0.3556 0.4667 0.5556 0.5778 0.7556 0.6778 ... 0.6000 0.5333 0.4000 0.2556 0.1333 0.2000 0.1556 ... 0.1333 0.1000 0.0556 0.0222 0.0556 0.1444 0.2000 ... 0.2444 0.2667 0.3667 0.4778 0.5778 0.7111 0.9000 ... 0.8000 0.6556 0.4889 0.3444 0.2000 ]; x = x_other * Xscale + Xoff; y_other = [0.7375 0.6625 0.6750 0.6500 0.9500 0.7375 0.7125 ... 0.7125 0.7125 0.7375 0.7250 0.6250 0.6000 0.6000 ... 0.6000 0.5625 0.5125 0.4375 0.4750 0.5125 0.5000 ... 0.5000 0.5000 0.4375 0.4125 0.5000 0.6375 0.7375 ... 0.8000 0.8250 0.7125 0.6125 0.5000 0.3875 0.3625 ... 0.5000 0.6000 0.6625 0.7250 0.8750 0.9125 0.7250 ... 0.6625 0.6125 0.5625 0.4625 0.3750 0.2500 0.3375 ... 0.3750 0.3625 0.3875 0.4375 0.5000 0.5625 0.6250 ... 0.7375 0.8000 0.8000 0.8250 0.8750 0.9000 0.9500 ... 0.7375 0.6125 0.5125 0.4375 0.2500 ]; y = y_other * Yscale + Yoff; end case 'splineplot' Xoff = 0.15; Xscale = 0.75; Yoff = (-0.15); Yscale = 0.85; switch option case 1 % 1-D table -- show standard spline curve x_splineplot1 = [0.1000 0.1125 0.1000 0.0875 0.1000 0.1125 0.1000 ... 0.1000 0.1125 0.1250 0.1375 0.1500 0.1625 0.1750 ... 0.1875 0.2000 0.2125 0.2250 0.2375 0.2500 0.2625 ... 0.2625 0.2750 0.2625 0.2500 0.2625 0.2750 0.2625 ... 0.2625 0.2750 0.2875 0.3000 0.3125 0.3250 0.3375 ... 0.3500 0.3625 0.3750 0.3875 0.4000 0.4125 0.4250 ... 0.4250 0.4375 0.4250 0.4125 0.4250 0.4375 0.4250 ... 0.4250 0.4375 0.4500 0.4625 0.4750 0.4875 0.5000 ... 0.5125 0.5250 0.5375 0.5500 0.5625 0.5750 0.5875 ... 0.6000 0.6125 0.6125 0.6250 0.6125 0.6000 0.6125 ... 0.6250 0.6125 0.6125 0.6250 0.6375 0.6500 0.6625 ... 0.6750 0.6875 0.7000 0.7125 0.7250 0.7375 0.7500 ... 0.7625 0.7750 0.7750 0.7875 0.7750 0.7625 0.7750 ... 0.7875 0.7750 0.7750 0.7875 0.8000 0.8125 0.8250 ... 0.8375 0.8500 0.8625 0.8750 0.8875 0.8875 0.9000 ... 0.8875 0.8750 0.8875 0.9000 0.8875 0.8875 0.9000 ... 0.9125 0.9250 0.9375 0.9500 0.9500 0.9625 0.9500 ... 0.9375 0.9500 0.9625 0.9500 ]; y_splineplot1 = [0.2500 0.2500 0.2625 0.2500 0.2375 0.2500 0.2500 ... 0.2500 0.2634 0.2773 0.2917 0.3064 0.3214 0.3365 ... 0.3516 0.3667 0.3816 0.3962 0.4105 0.4243 0.4375 ... 0.4375 0.4375 0.4500 0.4375 0.4250 0.4375 0.4375 ... 0.4375 0.4501 0.4619 0.4728 0.4828 0.4917 0.4994 ... 0.5059 0.5110 0.5146 0.5167 0.5171 0.5157 0.5125 ... 0.5125 0.5125 0.5250 0.5125 0.5000 0.5125 0.5125 ... 0.5125 0.5074 0.5006 0.4926 0.4837 0.4742 0.4645 ... 0.4549 0.4458 0.4375 0.4304 0.4249 0.4212 0.4198 ... 0.4209 0.4250 0.4250 0.4250 0.4375 0.4250 0.4125 ... 0.4250 0.4250 0.4250 0.4323 0.4428 0.4563 0.4728 ... 0.4922 0.5143 0.5391 0.5664 0.5962 0.6283 0.6626 ... 0.6991 0.7375 0.7375 0.7375 0.7500 0.7375 0.7250 ... 0.7375 0.7375 0.7375 0.7776 0.8177 0.8562 0.8912 ... 0.9208 0.9433 0.9569 0.9597 0.9500 0.9500 0.9500 ... 0.9625 0.9500 0.9375 0.9500 0.9500 0.9500 0.9259 ... 0.8857 0.8275 0.7495 0.6500 0.6500 0.6500 0.6625 ... 0.6500 0.6375 0.6500 0.6500 ]; x = x_splineplot1 * Xscale + Xoff; y = y_splineplot1 * Yscale + Yoff; otherwise % 2-D table or higher -- show a bicubic surface x_splineplot = [0.0668 0.0753 0.0925 0.1096 0.1781 0.2123 0.2171 ... 0.2218 0.2263 0.2308 0.2352 0.2396 0.2438 0.2479 ... 0.2521 0.2562 0.2600 0.2640 0.2677 0.2714 0.2751 ... 0.2786 0.2821 0.2855 0.2922 0.2985 0.3047 0.3105 ... 0.3160 0.3215 0.3266 0.3315 0.3362 0.3407 0.3449 ... 0.3490 0.3529 0.3567 0.3603 0.3668 0.3729 0.3785 ... 0.3836 0.3873 0.3910 0.3948 0.3986 0.4005 0.4026 ... 0.4045 0.4066 0.4085 0.4105 0.4127 0.4148 0.4168 ... 0.4190 0.4212 0.4234 0.4256 0.4278 0.4301 0.4325 ... 0.4371 0.4419 0.4470 0.4521 0.4559 0.4600 0.4644 ... 0.4690 0.4740 0.4790 0.4844 0.4897 0.4955 0.5012 ... 0.5071 0.5130 0.5192 0.5252 0.5314 0.5377 0.5438 ... 0.5500 0.5560 0.5622 0.5681 0.5741 0.5799 0.5855 ... 0.5910 0.5963 0.6014 0.6063 0.6110 0.6153 0.6195 ... 0.6233 0.6270 0.6304 0.6338 0.6371 0.6403 0.6433 ... 0.6462 0.6490 0.6518 0.6544 0.6568 0.6593 0.6616 ... 0.6640 0.6662 0.6684 0.6704 0.6725 0.6745 0.6764 ... 0.6784 0.6803 0.6821 0.6840 0.6858 0.6875 0.6893 ... 0.6911 0.6929 0.6947 0.6964 0.6982 0.7001 0.7019 ... 0.7038 0.7058 0.7078 0.7097 0.7118 0.7140 0.7162 ... 0.7184 0.7207 0.7230 0.7256 0.7281 0.7308 0.7336 ... 0.7363 0.7393 0.7423 0.7455 0.7489 0.7523 0.7558 ... 0.7595 0.7633 0.7673 0.7715 0.7758 0.7801 0.7848 ... 0.7896 0.7945 0.7992 0.8037 0.8082 0.8126 0.8170 ... 0.8214 0.8255 0.8297 0.8338 0.8379 0.8421 0.8460 ... 0.8501 0.8541 0.8581 0.8622 0.8662 0.8701 0.8742 ... 0.8784 0.8804 0.8825 0.8845 0.8866 0.8886 0.8908 ... 0.8929 0.8951 0.8971 0.8993 0.9015 0.9037 0.9059 ... 0.9081 0.9103 0.9126 0.9149 0.9171 0.9195 0.9219 ... 0.9242 0.9266 0.9290 0.9315 NaN 0.1781 0.1819 ... 0.1858 0.1896 0.1932 0.1968 0.2004 0.2038 0.2073 ... 0.2138 0.2201 0.2263 0.2322 0.2378 0.2432 0.2484 ... 0.2533 0.2579 0.2625 0.2667 0.2708 0.2748 0.2785 ... 0.2821 0.2855 0.2918 0.2974 0.3026 0.3071 0.3114 ... 0.3151 0.3178 0.3203 0.3225 0.3242 0.3251 0.3259 ... 0.3267 0.3275 0.3282 0.3289 0.3297 0.3304 0.3312 ... 0.3319 0.3327 0.3336 0.3345 0.3355 0.3364 0.3375 ... 0.3399 0.3426 0.3458 0.3493 0.3527 0.3567 0.3608 ... 0.3653 0.3701 0.3751 0.3804 0.3859 0.3915 0.3974 ... 0.4034 0.4095 0.4158 0.4219 0.4284 0.4347 0.4410 ... 0.4473 0.4536 0.4599 0.4659 0.4719 0.4778 0.4836 ... 0.4890 0.4944 0.4995 0.5042 0.5088 0.5130 0.5170 ... 0.5205 0.5252 0.5295 0.5336 0.5374 0.5410 0.5426 ... 0.5442 0.5459 0.5475 0.5490 0.5505 0.5521 0.5536 ... 0.5551 0.5564 0.5579 0.5593 0.5607 0.5622 0.5636 ... 0.5649 0.5664 0.5678 0.5693 0.5708 0.5723 0.5738 ... 0.5753 0.5770 0.5785 0.5803 0.5819 0.5837 0.5855 ... 0.5874 0.5893 0.5912 0.5933 0.5953 0.5975 0.5999 ... 0.6022 0.6047 0.6097 0.6152 0.6211 0.6274 0.6341 ... 0.6378 0.6414 0.6452 0.6492 0.6533 0.6575 0.6621 ... 0.6663 0.6707 NaN 0.1096 0.1152 0.1205 0.1258 ... 0.1307 0.1355 0.1401 0.1445 0.1488 0.1529 0.1568 ... 0.1607 0.1642 0.1711 0.1774 0.1832 0.1885 0.1933 ... 0.1978 0.2019 0.2056 0.2123 0.2170 0.2216 0.2262 ... 0.2305 0.2327 0.2349 0.2371 0.2392 0.2414 0.2434 ... 0.2456 0.2477 0.2497 0.2518 0.2540 0.2560 0.2581 ... 0.2601 0.2622 0.2642 0.2684 0.2725 0.2767 0.2808 ... 0.2863 0.2929 0.2964 0.3001 0.3041 0.3082 0.3126 ... 0.3170 0.3215 0.3260 0.3307 0.3355 0.3401 0.3449 ... 0.3497 0.3545 0.3592 0.3638 0.3685 0.3730 0.3774 ... 0.3816 0.3859 0.3899 0.3936 0.3971 0.4037 0.4093 ... 0.4155 0.4185 0.4214 0.4241 0.4268 0.4295 0.4321 ... 0.4347 0.4373 0.4399 0.4425 0.4452 0.4478 0.4507 ... 0.4534 0.4564 0.4595 0.4626 0.4659 0.4693 0.4729 ... 0.4766 0.4805 0.4847 0.4890 0.4937 0.4985 0.5036 ... 0.5089 0.5147 0.5205 0.5274 NaN 0.0925 0.0970 ... 0.1014 0.1056 0.1097 0.1137 0.1175 0.1212 0.1247 ... 0.1314 0.1375 0.1432 0.1484 0.1532 0.1577 0.1618 ... 0.1655 0.1722 0.1781 0.1841 0.1868 0.1897 0.1925 ... 0.1951 0.1977 0.2003 0.2029 0.2053 0.2079 0.2104 ... 0.2130 0.2156 0.2208 0.2273 0.2308 0.2347 0.2388 ... 0.2432 0.2475 0.2523 0.2571 0.2621 0.2671 0.2723 ... 0.2775 0.2829 0.2882 0.2936 0.2990 0.3044 0.3097 ... 0.3149 0.3201 0.3252 0.3301 0.3351 0.3397 0.3442 ... 0.3485 0.3526 0.3564 0.3600 0.3664 0.3730 0.3760 ... 0.3790 0.3821 0.3849 0.3878 0.3907 0.3934 0.3962 ... 0.3990 0.4018 0.4047 0.4075 0.4104 0.4133 0.4164 ... 0.4195 0.4227 0.4260 0.4295 0.4329 0.4366 0.4404 ... 0.4444 0.4486 0.4529 0.4574 0.4622 0.4671 0.4723 ... 0.4778 0.4844 NaN 0.0753 0.0795 0.0834 0.0871 ... 0.0908 0.0944 0.0978 0.1042 0.1101 0.1158 0.1208 ... 0.1255 0.1299 0.1338 0.1375 0.1410 0.1471 0.1523 ... 0.1574 0.1629 0.1685 0.1744 0.1800 0.1855 0.1907 ... 0.1952 0.2005 0.2068 0.2101 0.2138 0.2175 0.2214 ... 0.2253 0.2295 0.2336 0.2378 0.2422 0.2464 0.2508 ... 0.2552 0.2597 0.2641 0.2684 0.2727 0.2770 0.2811 ... 0.2852 0.2892 0.2930 0.2967 0.3003 0.3036 0.3097 ... 0.3151 0.3204 0.3256 0.3307 0.3332 0.3356 0.3379 ... 0.3404 0.3429 0.3453 0.3478 0.3503 0.3527 0.3553 ... 0.3581 0.3607 0.3634 0.3663 0.3692 0.3722 0.3753 ... 0.3786 0.3853 0.3890 0.3927 0.3966 0.4007 0.4049 ... 0.4093 0.4152 NaN 0.0668 0.0704 0.0740 0.0807 ... 0.0868 0.0926 0.0979 0.1029 0.1074 0.1115 0.1153 ... 0.1189 0.1252 0.1305 0.1353 0.1389 0.1432 0.1478 ... 0.1526 0.1574 0.1621 0.1662 0.1696 0.1747 0.1804 ... 0.1870 0.1904 0.1940 0.1977 0.2015 0.2053 0.2093 ... 0.2133 0.2173 0.2214 0.2255 0.2295 0.2336 0.2375 ... 0.2415 0.2455 0.2493 0.2530 0.2567 0.2603 0.2637 ... 0.2701 0.2759 0.2808 0.2856 0.2905 0.2959 0.3012 ... 0.3070 0.3127 0.3186 0.3248 0.3310 0.3371 0.3434 ... 0.3497 0.3562 0.3625 0.3688 0.3751 0.3785 0.3822 ... NaN 0.3836 0.3800 0.3764 0.3699 0.3637 0.3581 ... 0.3527 0.3478 0.3433 0.3392 0.3353 0.3318 0.3253 ... 0.3199 0.3151 0.3104 0.3049 0.2989 0.2925 0.2890 ... 0.2855 0.2819 0.2784 0.2747 0.2710 0.2671 0.2634 ... 0.2596 0.2559 0.2522 0.2485 0.2449 0.2414 0.2379 ... 0.2345 0.2281 0.2222 0.2168 0.2123 0.2075 0.2026 ... 0.2001 0.1977 0.1953 0.1930 0.1907 0.1885 0.1864 ... 0.1845 0.1810 0.1781 0.1751 0.1734 0.1718 0.1699 ... 0.1681 0.1662 0.1644 0.1625 0.1607 0.1590 0.1574 ... 0.1559 0.1545 0.1523 0.1508 0.1490 0.1479 0.1468 ... 0.1453 0.1447 0.1438 NaN 0.4521 0.4466 0.4412 ... 0.4362 0.4311 0.4264 0.4218 0.4174 0.4132 0.4090 ... 0.4052 0.4014 0.3978 0.3910 0.3847 0.3789 0.3736 ... 0.3688 0.3642 0.3600 0.3562 0.3526 0.3493 0.3460 ... 0.3425 0.3385 0.3342 0.3297 0.3251 0.3203 0.3155 ... 0.3105 0.3058 0.3011 0.2964 0.2922 0.2881 0.2842 ... 0.2808 0.2749 0.2715 0.2677 0.2638 0.2597 0.2555 ... 0.2511 0.2468 0.2426 0.2384 0.2344 0.2305 0.2270 ... 0.2208 0.2178 0.2152 0.2129 0.2110 0.2092 0.2074 ... 0.2056 0.2038 0.2004 0.1953 0.1921 0.1881 0.1834 ... NaN 0.6233 0.6179 0.6129 0.6079 0.6032 0.5985 ... 0.5941 0.5899 0.5858 0.5818 0.5779 0.5742 0.5707 ... 0.5640 0.5577 0.5519 0.5464 0.5415 0.5367 0.5323 ... 0.5282 0.5242 0.5205 0.5155 0.5099 0.5034 0.5001 ... 0.4966 0.4930 0.4893 0.4855 0.4816 0.4777 0.4738 ... 0.4697 0.4658 0.4618 0.4578 0.4538 0.4499 0.4459 ... 0.4421 0.4382 0.4345 0.4310 0.4274 0.4208 0.4147 ... 0.4093 0.4049 0.3997 0.3940 0.3878 0.3818 0.3759 ... 0.3707 0.3664 0.3611 0.3548 0.3512 0.3477 0.3440 ... 0.3404 0.3367 0.3330 0.3296 0.3262 0.3200 0.3151 ... 0.3099 0.3067 0.3030 0.2986 0.2936 0.2877 0.2844 ... 0.2808 NaN 0.7945 0.7908 0.7873 0.7837 0.7801 ... 0.7733 0.7667 0.7604 0.7544 0.7485 0.7429 0.7374 ... 0.7322 0.7273 0.7225 0.7178 0.7133 0.7090 0.7049 ... 0.7011 0.6973 0.6937 0.6901 0.6836 0.6775 0.6721 ... 0.6668 0.6621 0.6575 0.6511 0.6475 0.6438 0.6399 ... 0.6358 0.6315 0.6271 0.6226 0.6181 0.6133 0.6085 ... 0.6037 0.5988 0.5938 0.5889 0.5840 0.5790 0.5741 ... 0.5693 0.5645 0.5599 0.5552 0.5507 0.5463 0.5422 ... 0.5381 0.5341 0.5304 0.5268 0.5205 0.5163 0.5111 ... 0.5053 0.4992 0.4930 0.4871 0.4819 0.4778 0.4710 ... 0.4668 0.4626 0.4579 0.4532 0.4484 0.4433 0.4384 ... 0.4336 0.4288 0.4242 0.4199 0.4159 0.4093 0.4040 ... 0.4008 0.3971 0.3927 0.3877 0.3818 0.3751 NaN ... 0.9315 0.9278 0.9242 0.9207 0.9171 0.9104 0.9038 ... 0.8975 0.8915 0.8856 0.8800 0.8747 0.8695 0.8644 ... 0.8596 0.8551 0.8505 0.8463 0.8422 0.8382 0.8345 ... 0.8308 0.8274 0.8208 0.8148 0.8092 0.8040 0.7990 ... 0.7945 0.7878 0.7841 0.7801 0.7760 0.7716 0.7671 ... 0.7625 0.7577 0.7527 0.7478 0.7426 0.7375 0.7323 ... 0.7270 0.7218 0.7164 0.7112 0.7060 0.7008 0.6958 ]; y_splineplot = [0.6645 0.6316 0.5658 0.5000 0.4013 0.3355 0.3388 ... 0.3421 0.3453 0.3484 0.3516 0.3546 0.3576 0.3605 ... 0.3634 0.3663 0.3691 0.3718 0.3746 0.3772 0.3799 ... 0.3824 0.3849 0.3874 0.3922 0.3968 0.4013 0.4057 ... 0.4099 0.4139 0.4179 0.4217 0.4253 0.4288 0.4324 ... 0.4357 0.4388 0.4420 0.4451 0.4509 0.4566 0.4620 ... 0.4671 0.4714 0.4764 0.4822 0.4887 0.4920 0.4955 ... 0.4991 0.5026 0.5063 0.5100 0.5137 0.5175 0.5212 ... 0.5249 0.5286 0.5321 0.5357 0.5391 0.5425 0.5458 ... 0.5518 0.5572 0.5620 0.5658 0.5680 0.5700 0.5717 ... 0.5733 0.5746 0.5758 0.5768 0.5776 0.5784 0.5791 ... 0.5796 0.5800 0.5804 0.5807 0.5811 0.5813 0.5817 ... 0.5820 0.5824 0.5828 0.5833 0.5839 0.5846 0.5855 ... 0.5864 0.5876 0.5889 0.5904 0.5921 0.5941 0.5962 ... 0.5987 0.6014 0.6043 0.6076 0.6111 0.6147 0.6187 ... 0.6228 0.6270 0.6314 0.6362 0.6409 0.6459 0.6511 ... 0.6563 0.6617 0.6672 0.6728 0.6786 0.6843 0.6903 ... 0.6962 0.7022 0.7084 0.7145 0.7207 0.7270 0.7332 ... 0.7393 0.7457 0.7518 0.7582 0.7643 0.7705 0.7766 ... 0.7826 0.7887 0.7946 0.8005 0.8062 0.8120 0.8175 ... 0.8229 0.8283 0.8334 0.8384 0.8434 0.8480 0.8526 ... 0.8570 0.8612 0.8651 0.8689 0.8725 0.8758 0.8789 ... 0.8818 0.8843 0.8867 0.8888 0.8905 0.8921 0.8933 ... 0.8942 0.8947 0.8950 0.8950 0.8946 0.8941 0.8932 ... 0.8920 0.8905 0.8887 0.8866 0.8841 0.8812 0.8780 ... 0.8746 0.8707 0.8664 0.8618 0.8568 0.8513 0.8455 ... 0.8393 0.8361 0.8328 0.8292 0.8257 0.8220 0.8182 ... 0.8143 0.8103 0.8062 0.8020 0.7976 0.7932 0.7886 ... 0.7838 0.7789 0.7741 0.7691 0.7638 0.7586 0.7532 ... 0.7476 0.7420 0.7362 0.7303 NaN 0.4013 0.4036 ... 0.4058 0.4080 0.4101 0.4124 0.4143 0.4164 0.4186 ... 0.4225 0.4263 0.4301 0.4337 0.4372 0.4407 0.4441 ... 0.4472 0.4504 0.4536 0.4564 0.4595 0.4622 0.4651 ... 0.4678 0.4705 0.4757 0.4808 0.4857 0.4905 0.4953 ... 0.5000 0.5043 0.5095 0.5153 0.5214 0.5247 0.5280 ... 0.5316 0.5350 0.5386 0.5422 0.5458 0.5495 0.5530 ... 0.5567 0.5603 0.5638 0.5674 0.5708 0.5741 0.5774 ... 0.5836 0.5892 0.5943 0.5987 0.6020 0.6050 0.6079 ... 0.6107 0.6132 0.6157 0.6179 0.6200 0.6221 0.6239 ... 0.6258 0.6276 0.6293 0.6309 0.6325 0.6341 0.6357 ... 0.6372 0.6388 0.6403 0.6418 0.6436 0.6453 0.6470 ... 0.6488 0.6507 0.6526 0.6547 0.6570 0.6593 0.6618 ... 0.6645 0.6687 0.6736 0.6789 0.6850 0.6914 0.6949 ... 0.6984 0.7020 0.7058 0.7096 0.7134 0.7174 0.7214 ... 0.7255 0.7297 0.7339 0.7382 0.7425 0.7467 0.7512 ... 0.7555 0.7599 0.7643 0.7687 0.7732 0.7775 0.7818 ... 0.7862 0.7905 0.7949 0.7991 0.8033 0.8075 0.8116 ... 0.8157 0.8196 0.8236 0.8274 0.8311 0.8347 0.8383 ... 0.8417 0.8451 0.8513 0.8571 0.8624 0.8670 0.8709 ... 0.8726 0.8741 0.8755 0.8766 0.8775 0.8783 0.8788 ... 0.8792 0.8793 NaN 0.5000 0.5012 0.5022 0.5034 ... 0.5045 0.5055 0.5066 0.5076 0.5087 0.5097 0.5107 ... 0.5117 0.5126 0.5146 0.5166 0.5184 0.5204 0.5224 ... 0.5243 0.5264 0.5286 0.5329 0.5368 0.5417 0.5472 ... 0.5534 0.5567 0.5601 0.5636 0.5671 0.5708 0.5745 ... 0.5782 0.5818 0.5857 0.5893 0.5930 0.5967 0.6003 ... 0.6038 0.6072 0.6105 0.6168 0.6225 0.6275 0.6316 ... 0.6359 0.6401 0.6422 0.6442 0.6463 0.6484 0.6505 ... 0.6525 0.6546 0.6566 0.6587 0.6607 0.6628 0.6647 ... 0.6667 0.6688 0.6708 0.6728 0.6749 0.6768 0.6789 ... 0.6809 0.6830 0.6850 0.6871 0.6891 0.6932 0.6974 ... 0.7037 0.7074 0.7114 0.7158 0.7204 0.7254 0.7305 ... 0.7358 0.7413 0.7470 0.7526 0.7586 0.7643 0.7703 ... 0.7762 0.7820 0.7878 0.7936 0.7991 0.8045 0.8097 ... 0.8147 0.8195 0.8239 0.8282 0.8321 0.8355 0.8387 ... 0.8413 0.8437 0.8454 0.8468 NaN 0.5658 0.5661 ... 0.5664 0.5667 0.5671 0.5674 0.5678 0.5680 0.5684 ... 0.5692 0.5700 0.5709 0.5718 0.5728 0.5739 0.5750 ... 0.5763 0.5791 0.5822 0.5872 0.5904 0.5939 0.5979 ... 0.6021 0.6063 0.6108 0.6151 0.6195 0.6237 0.6276 ... 0.6313 0.6346 0.6397 0.6441 0.6461 0.6480 0.6500 ... 0.6518 0.6537 0.6555 0.6572 0.6589 0.6607 0.6624 ... 0.6639 0.6657 0.6672 0.6688 0.6705 0.6721 0.6737 ... 0.6754 0.6770 0.6787 0.6804 0.6821 0.6838 0.6857 ... 0.6875 0.6893 0.6913 0.6933 0.6974 0.7032 0.7066 ... 0.7103 0.7143 0.7187 0.7233 0.7280 0.7330 0.7382 ... 0.7436 0.7489 0.7543 0.7600 0.7655 0.7711 0.7766 ... 0.7821 0.7875 0.7928 0.7979 0.8029 0.8076 0.8121 ... 0.8164 0.8205 0.8242 0.8275 0.8305 0.8332 0.8354 ... 0.8371 0.8384 NaN 0.6316 0.6317 0.6317 0.6318 ... 0.6320 0.6321 0.6322 0.6325 0.6328 0.6332 0.6336 ... 0.6339 0.6345 0.6351 0.6357 0.6364 0.6379 0.6397 ... 0.6424 0.6462 0.6508 0.6559 0.6609 0.6657 0.6697 ... 0.6726 0.6753 0.6778 0.6789 0.6803 0.6814 0.6826 ... 0.6838 0.6850 0.6862 0.6874 0.6886 0.6897 0.6909 ... 0.6921 0.6933 0.6945 0.6957 0.6970 0.6982 0.6995 ... 0.7008 0.7021 0.7034 0.7049 0.7063 0.7076 0.7107 ... 0.7138 0.7182 0.7236 0.7300 0.7336 0.7372 0.7412 ... 0.7451 0.7492 0.7534 0.7576 0.7620 0.7663 0.7707 ... 0.7749 0.7791 0.7833 0.7874 0.7913 0.7951 0.7988 ... 0.8022 0.8086 0.8113 0.8138 0.8161 0.8179 0.8195 ... 0.8208 0.8216 NaN 0.6645 0.6647 0.6650 0.6655 ... 0.6659 0.6664 0.6670 0.6674 0.6679 0.6683 0.6688 ... 0.6693 0.6704 0.6714 0.6726 0.6739 0.6758 0.6782 ... 0.6805 0.6832 0.6855 0.6876 0.6892 0.6912 0.6934 ... 0.6957 0.6968 0.6982 0.6993 0.7007 0.7020 0.7033 ... 0.7046 0.7059 0.7072 0.7086 0.7100 0.7113 0.7128 ... 0.7141 0.7155 0.7168 0.7183 0.7196 0.7211 0.7224 ... 0.7250 0.7276 0.7303 0.7333 0.7371 0.7416 0.7466 ... 0.7520 0.7576 0.7636 0.7695 0.7754 0.7811 0.7863 ... 0.7913 0.7957 0.7993 0.8022 0.8042 0.8049 0.8050 ... NaN 0.4671 0.4689 0.4707 0.4741 0.4771 0.4799 ... 0.4825 0.4850 0.4871 0.4892 0.4911 0.4926 0.4957 ... 0.4980 0.5000 0.5017 0.5034 0.5050 0.5067 0.5075 ... 0.5084 0.5092 0.5101 0.5111 0.5120 0.5129 0.5138 ... 0.5147 0.5157 0.5167 0.5178 0.5188 0.5199 0.5211 ... 0.5222 0.5246 0.5272 0.5300 0.5329 0.5372 0.5428 ... 0.5461 0.5495 0.5529 0.5566 0.5601 0.5638 0.5674 ... 0.5708 0.5771 0.5822 0.5878 0.5911 0.5946 0.5984 ... 0.6024 0.6064 0.6107 0.6149 0.6189 0.6230 0.6268 ... 0.6305 0.6339 0.6397 0.6446 0.6512 0.6554 0.6603 ... 0.6661 0.6692 0.6726 NaN 0.5658 0.5674 0.5691 ... 0.5705 0.5721 0.5734 0.5749 0.5762 0.5775 0.5787 ... 0.5800 0.5811 0.5822 0.5843 0.5863 0.5882 0.5900 ... 0.5916 0.5932 0.5946 0.5961 0.5974 0.5987 0.6000 ... 0.6017 0.6037 0.6058 0.6082 0.6105 0.6130 0.6157 ... 0.6182 0.6207 0.6230 0.6251 0.6272 0.6289 0.6304 ... 0.6316 0.6326 0.6330 0.6332 0.6333 0.6334 0.6334 ... 0.6336 0.6337 0.6339 0.6343 0.6349 0.6357 0.6368 ... 0.6397 0.6428 0.6466 0.6511 0.6559 0.6609 0.6655 ... 0.6695 0.6726 0.6767 0.6818 0.6850 0.6886 0.6926 ... NaN 0.5987 0.6024 0.6061 0.6095 0.6128 0.6159 ... 0.6189 0.6220 0.6247 0.6275 0.6300 0.6325 0.6349 ... 0.6393 0.6434 0.6471 0.6504 0.6534 0.6562 0.6586 ... 0.6608 0.6628 0.6645 0.6667 0.6689 0.6713 0.6725 ... 0.6738 0.6750 0.6763 0.6775 0.6788 0.6800 0.6812 ... 0.6825 0.6837 0.6849 0.6861 0.6871 0.6882 0.6892 ... 0.6903 0.6912 0.6921 0.6930 0.6938 0.6953 0.6964 ... 0.6974 0.6978 0.6978 0.6976 0.6974 0.6971 0.6970 ... 0.6970 0.6974 0.6984 0.7001 0.7012 0.7022 0.7034 ... 0.7046 0.7059 0.7071 0.7084 0.7096 0.7118 0.7138 ... 0.7161 0.7175 0.7192 0.7213 0.7238 0.7268 0.7284 ... 0.7303 NaN 0.8947 0.8943 0.8939 0.8936 0.8933 ... 0.8925 0.8918 0.8912 0.8905 0.8899 0.8893 0.8887 ... 0.8882 0.8876 0.8871 0.8866 0.8861 0.8855 0.8850 ... 0.8846 0.8841 0.8837 0.8832 0.8824 0.8814 0.8807 ... 0.8799 0.8791 0.8783 0.8771 0.8763 0.8755 0.8746 ... 0.8737 0.8728 0.8717 0.8707 0.8695 0.8683 0.8671 ... 0.8659 0.8647 0.8636 0.8622 0.8611 0.8597 0.8586 ... 0.8572 0.8561 0.8549 0.8537 0.8526 0.8514 0.8505 ... 0.8495 0.8486 0.8476 0.8468 0.8454 0.8445 0.8436 ... 0.8424 0.8413 0.8401 0.8391 0.8380 0.8371 0.8357 ... 0.8349 0.8339 0.8329 0.8320 0.8308 0.8297 0.8286 ... 0.8274 0.8263 0.8251 0.8239 0.8229 0.8208 0.8187 ... 0.8172 0.8155 0.8133 0.8108 0.8078 0.8042 NaN ... 0.7303 0.7312 0.7321 0.7330 0.7338 0.7355 0.7372 ... 0.7387 0.7403 0.7417 0.7432 0.7445 0.7457 0.7470 ... 0.7482 0.7492 0.7503 0.7513 0.7524 0.7533 0.7542 ... 0.7550 0.7559 0.7574 0.7588 0.7600 0.7612 0.7622 ... 0.7632 0.7645 0.7651 0.7659 0.7666 0.7674 0.7682 ... 0.7689 0.7697 0.7705 0.7713 0.7721 0.7730 0.7738 ... 0.7746 0.7755 0.7763 0.7772 0.7780 0.7788 0.7796 ]; x = x_splineplot * Xscale + Xoff; y = y_splineplot * Yscale + Yoff; end case 'bpplotdata' switch option case 'f' x = [0.17,0.6,0.6,NaN,0.05,0.95,NaN,0.4,0.4,NaN, 0.2,0.4,NaN, ... 0.55,0.6,0.65,NaN,0.6,0.8,NaN,0.35,0.4,0.35,NaN,0.65,0.6,0.65]; y = [0.8,0.8,0.15,NaN,0.4,0.4,NaN,0.15,0.4,NaN, 0.25,0.25,NaN, ... 0.47,0.4,0.47,NaN,0.25,0.25,NaN,0.3,0.25,0.2,NaN,0.3,0.25,0.2]; case 'k' x = [0.17,0.6,0.6,NaN,0.05,0.95,NaN,0.55,0.6,0.65]; y = [0.8,0.8,0.4,NaN,0.4,0.4,NaN,0.47,0.4,0.47]; end case 'bppatchdata' xOffset = [ 0.2, 0.4, 0.72, 0.85 ]; xScale = 0.05; yScale = 0.05; x = []; y = []; for i=1:4 x = [ x, NaN, xOffset(i) + xScale * [-1, 0, 1, 0, -1] ]; y = [ y, NaN, 0.4 + yScale * [ 0, 1, 0, -1, 0] ]; end case 'kfdyn' % =========================================================================== % % Dynamic dialog for Interpolation, n-D using prelookup block % MAX_ON_DIMS_POPUP = 4; maskVisibilities = get_param(blk,'MaskVisibilities'); numDimsPopupSelect = get_param(blk,'numDimsPopupSelect'); if strcmp(numDimsPopupSelect, 'More...') numDims = MAX_ON_DIMS_POPUP+1; else numDims = sscanf(numDimsPopupSelect,'%f'); end if numDims > MAX_ON_DIMS_POPUP % for the large-dimensions case maskVisibilities{2} = 'on'; else % for 'normal' lookup dimension counts maskVisibilities{2} = 'off'; end % equivalent of [maskVisibilities{1,3:6}] = deal('on'); set_param(blk,'MaskVisibilities',maskVisibilities); case 'dynamic' % =========================================================================== % % Dynamic dialog for Look-Up Table, n-D block % MAX_ON_DIMS_POPUP = 4; % up to this many dimensions via the popup numUserFields = 13; %maskEnables = get_param(blk,'MaskEnables'); maskVisibilities = get_param(blk,'MaskVisibilities'); % Number of Dimensions determines what breakpoint % fields to display. numDimsPopupSelect = get_param(blk,'numDimsPopupSelect'); %explicitNumDims = get_param(blk,'explicitNumDims'); if strcmp(numDimsPopupSelect, 'More...') numDims = MAX_ON_DIMS_POPUP+1; else numDims = sscanf(numDimsPopupSelect,'%f'); end if numDims > MAX_ON_DIMS_POPUP % for the large-dimensions case [maskVisibilities{2:MAX_ON_DIMS_POPUP+3}] = deal('on'); elseif numDims == MAX_ON_DIMS_POPUP % for max 'normal' lookup dimension count [maskVisibilities{2:MAX_ON_DIMS_POPUP+1}] = deal('on'); [maskVisibilities{MAX_ON_DIMS_POPUP+2:MAX_ON_DIMS_POPUP+3}] = deal('off'); else % for 'normal' lookup dimension counts [maskVisibilities{2:numDims+1}] = deal('on'); [maskVisibilities{numDims+2:MAX_ON_DIMS_POPUP+3}] = deal('off'); end maskVisibilities{1} = 'on'; % always! [maskVisibilities{MAX_ON_DIMS_POPUP+4:numUserFields}] = deal('on'); % always! set_param(blk,'MaskVisibilities',maskVisibilities); case 'predyn' % =========================================================================== % % Dynamic dialog for prelookup index search block % maskVisibilities = get_param(blk, 'MaskVisibilities'); % Show index data type for 'Output only the index' ON case % trick: fast switching for 'on'/'off' since values track: maskVisibilities{5} = get_param(blk, 'outputFlag'); set_param(blk, 'MaskVisibilities', maskVisibilities); otherwise % do nothing end Xoff = 0.05; Xscale = 0.85; Yoff = 0.05; Yscale = 0.75; xaxes = [ Xoff, Xoff, Xoff+Xscale ]; yaxes = [ Yoff+Yscale, Yoff, Yoff ]; % =========================================================================== % % --- For LookupNDInterpIdx init, set the port labels and adjust the plot % when doing sub-table selection. if doSelect, numDims = option; if nargin >= 6, NumSelectionDims = varargin{1}; else NumSelectionDims = 0; end % --- Top (common) code for icon display newLine = sprintf('\n'); pre60Params = (length(get_param(gcbh, 'Parameters')) == 54) && ... ~strcmp(get_param(gcbh, 'LinkStatus'), 'resolved'); if strcmp(get_param(bdroot,'BlockDiagramType'),'library'), numDimsStr = 'n'; else numDimsStr = sprintf('%d',numDims); end iconDimsStr = sprintf(' %s-D T(k,f)', numDimsStr); iconStr = ['text(0.5,0.9,''', iconDimsStr, ... ''',''horizontalAlignment'',''center'');', newLine]; if ~pre60Params, % --- Don't try to draw the icon - it will fail for pre 6.0 models % with broken library links iconStr = [ iconStr, 'plot(x,y);', newLine, 'plot(xaxes,yaxes);', newLine ]; end if numDims >= 1 && NumSelectionDims > 0 && NumSelectionDims <= numDims, % --- Adjust the axes to fit the port labels rot = get_param(gcbh,'Orientation'); switch rot, case 'right', xo = 0.25; xs = 0.80; yo = 0.05; ys = 1.0; case 'left', xo = 0.05; xs = 0.90; yo = 0.05; ys = 1.0; case 'up', xo = 0.05; xs = 1.00; yo = 0.15; ys = 0.9; case 'down', xo = 0.25; xs = 1.00; yo = 0.05; ys = 1.0; end x = xo + xs*(x-0.05); y = yo + ys*(y-0.05); xaxes = xo + xs*(xaxes-0.05); yaxes = yo + ys*(yaxes-0.05); % --- make and set the port labels into the icon display code numU = numDims - NumSelectionDims; labs = cell(numDims,1); for k=1:numU, labs{k} = sprintf('port_label(''input'',%d,''u%d'');\n',k,k); end for k=numU+1:numDims, labs{k} = sprintf('port_label(''input'',%d,''sel%d'');\n',k,k-numU); end iconStr = [ iconStr, horzcat(labs{:}) ]; end % --- Set the command string into the block's MaskDisplay parameter (v6 or later) set_param(gcbh, 'MaskDisplay', iconStr); end %[EOF] ndlookico.m