Quantifying filter bank decorrelating performance via matrix diagonality

  title={Quantifying filter bank decorrelating performance via matrix diagonality},
  author={Mauricio Mart{\'i}nez-Garc{\'i}a},
  journal={Signal Processing},
An important number of signal processing applications require decomposing a discretetime signal into decorrelated frequency channels. Several algorithms have been used for this purpose. One of the most popular is the DFT, which is known to be far from optimal due to the presence of overlap between adjacent channels. Filter banks are an interesting alternative as they can be designed for reduced frequency overlap, which results in an approximately tridiagonal autocorrelation matrix. In order to… CONTINUE READING
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