Title :
Fast parallel DSP algorithms on barrel shifter computers
Author :
Angelopoulos, Georgios ; Pitas, Ioannis
Author_Institution :
Dept. of Electr. & Comput. Eng., Aristotelian Univ. of Thessaloniki, Greece
fDate :
8/1/1996 12:00:00 AM
Abstract :
Parallel algorithms on barrel shifter computers for a broad class of 1-D and 2-D signal operators are presented. The max/min selection filter, the moving average filter, and the sorting and sliding window fast Fourier transform algorithms are examined. The proposed algorithms require a significantly smaller number of comparisons/computations than the conventional ones. A novel extension of the barrel shifter networks for 2-D signals is introduced, and the implementation of the proposed algorithms on them is also discussed
Keywords :
fast Fourier transforms; filtering theory; minimax techniques; moving average processes; parallel algorithms; signal processing; 1D signal operators; 2D signal operators; 2D signals; barrel shifter computers; barrel shifter networks; comparisons/computations; fast parallel DSP algorithms; max/min selection filter; moving average filter; sliding window fast Fourier transform algorithms; sorting window fast Fourier transform algorithms; Algorithm design and analysis; Computer networks; Concurrent computing; Digital signal processing; Fast Fourier transforms; Filters; High performance computing; Signal processing; Signal processing algorithms; Sorting;
Journal_Title :
Signal Processing, IEEE Transactions on