Title :
Parallel realizations of 2-D recursive Kalman filters
Author :
Woods, John W. ; Potter, David J. ; Kaufman, Howard
Author_Institution :
Rensselaer Polytechnic Institute, Troy, New York
Abstract :
This paper presents parallel realizations of the two-dimensional reduced update Kalman filter. It is shown that sufficiently spaced pixels on certain diagonals may be predicted and updated in parallel. This parallelism is then exploited on a conventional shared memory parallel processor and timings are reported. Predicted performance is provided for area-array SIMD type parallel processors, e.g. CLIP4 and CLIP7.
Keywords :
Computer science; Concurrent computing; Data acquisition; Delay estimation; Image restoration; Nonlinear filters; Parallel processing; Recursive estimation; Systems engineering and theory; Timing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
DOI :
10.1109/ICASSP.1987.1169505
