FIR filter is an important type of filter in the field of signal processing because\nof its inherent stability, simpler structure, and easier implementation on linear\nphase. WCA is used to solve FIR filter design with low magnitude error\nand linear phase in passband. This method uses WCA to optimize the filter\ncoefficient based on the low magnitude errors in all frequency domains.\nMoreover, in the constraint conditions, the least group delay in passband is\nused for the optimization. The experiments testify this method has good performance\non the passband error and group delay error in the passband.\nTherefore this method is an efficient algorithm for FIR filter optimization\nwhich can be used in the digital signal processing widely.
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