Title :
FIR filter representations of reduced-rank noise reduction
Author :
Hansen, Per Christian ; Jensen, Søren Holdt
Author_Institution :
Dept. of Math. Modelling, Tech. Univ. Denmark, Lyngby, Denmark
fDate :
6/1/1998 12:00:00 AM
Abstract :
We show that the reduced-rank output signal computed via truncated (Q)SVD is identical to that from an array of parallelly connected analysis-synthesis finite impulse response (FIR) filter pairs. The filter coefficients are determined by the (Q)SVD, and the filters provide an explicit description of the reduced-rank noise reduction algorithm in the frequency domain
Keywords :
FIR filters; frequency-domain analysis; interference suppression; noise; signal representation; singular value decomposition; transient response; FIR filter representations; filter coefficients; frequency domain; parallelly connected analysis-synthesis finite impulse response filter pairs; reduced-rank noise reduction; reduced-rank output signal; truncated (Q)SVD; Concurrent computing; Filtering; Finite impulse response filter; Frequency domain analysis; Frequency estimation; Matrix decomposition; Noise reduction; Signal analysis; Signal processing algorithms; Speech enhancement;
Journal_Title :
Signal Processing, IEEE Transactions on