Title :
Concurrent algorithms for a class of 1-D and 2-D Wiener FIR filters with symmetrical impulse response
Author :
Kalouptsidis, N. ; Theodoridis, S.
Author_Institution :
Dept. of Phys., Athens Univ., Greece
fDate :
11/1/1989 12:00:00 AM
Abstract :
Consideration is given to the development of parallel algorithms for the design of mean-squared-error multichannel zero-phase smoothers and 2-D image noncausal models. The resulting algorithms require approximately O(p) additions and block multiplications, with p being the order of the corresponding filter or model. Efficient order-recursive Levinson-type and Schur-type algorithms are derived. The Schur-type algorithms exhibit a high degree of parallelism and can be performed on a linear array of O(p) processors in O( p) time units
Keywords :
digital filters; filtering and prediction theory; parallel algorithms; two-dimensional digital filters; 1D filters; 2-D image noncausal models; 2D filters; Levinson-type algorithms; Schur-type algorithms; Wiener FIR filters; concurrent algorithms; digital filters; mean-squared-error multichannel zero-phase smoothers; order recursive algorithms; parallel algorithms; symmetrical impulse response; Acoustic signal processing; Adaptive signal processing; Difference equations; Finite impulse response filter; Least squares approximation; Predictive models; Rayleigh channels; Signal processing algorithms; Speech processing; Wiener filter;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on