Communications Toolbox

Optimizing Quantization Parameters

Quantization distorts a signal. You can lessen the distortion by choosing appropriate partition and codebook parameters. However, testing and selecting parameters for large signal sets with a fine quantization scheme can be tedious. One way to produce partition and codebook parameters easily is to optimize them according to a set of so-called training data.

Note   The training data that you use should be typical of the kinds of signals that you will actually be quantizing.

Determining Which Interval Each Input Is In

Example: Optimizing Quantization Parameters

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