Optimal Design Method of Graph Filter Bank Based on Two-step Method
A filter bank and optimization design technology, applied in the field of signal processing, can solve problems such as the inability to take into account the frequency characteristics of the prototype filter
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[0027] A graph filter bank optimization design method based on a two-step method is characterized in that it comprises the following steps:
[0028] The first step: the structure of the graph filter bank is as follows figure 1 shown. Express each prototype filter of a graph filter bank as a polynomial function with respect to the characteristic roots:
[0029]
[0030]
[0031] Step 2: Transform the passband flatness of the prototype filter into the coefficient h of the prototype filter 0 , g 0 The function:
[0032]
[0033]
[0034] Step 3: Transform the stopband energy of the prototype filter into the coefficient h of the prototype filter 0 , g 0 The function:
[0035]
[0036]
[0037] Step 4: Express the full reconstruction condition of the graph filter bank as:
[0038]
[0039] Step 5: The design problem of the graph filter bank is reduced to the following optimization problem:
[0040]
[0041] In the formula, E p (h 0 ) represents the...
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