| Communications Toolbox | |
Source coding, also known as quantization or signal formatting, is a way of processing data in order to reduce redundancy or prepare it for later processing. Analog-to-digital conversion and data compression are two categories of source coding.
This chapter describes the source coding features of the Communications Toolbox, in the sections listed below.
| Quantizing a Signal | Quantizing a signal according to a partition and codebook |
| Optimizing Quantization Parameters | Optimizing partition and codebook parameters for a set of training data |
| Differential Pulse Code Modulation | Encoding or decoding a signal using the DPCM technique |
| Optimizing DPCM Parameters | Optimizing DPCM parameters for a set of training data |
| Companding a Signal | Performing µ-law or A-law compressor or expander calculations |
| Huffman Coding | Performing Huffman coding and decoding |
| Arithmetic Coding | Performing arithmetic coding and decoding |
| Selected Bibliography for Source Coding | Works containing background information about source coding |
This toolbox does not support vector quantization.
| | Managing Data in the Data Viewer | Quantizing a Signal | |
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