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A New Two-Dimensional Parallel Block Adaptive Filter with Reduced Computational Complexity
Shigenori KINJO Masafumi OSHIRO Hiroshi OCHI
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1998/06/25
Print ISSN: 0916-8508
Type of Manuscript: Special Section PAPER (Special Section of Papers Selected from ITC-CSCC'97)
Category: Digital Signal Processing
two-dimensional adaptive filter, DFT filter bank, reduced computational complexity,
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Two-dimensional (2-D) adaptive digital filters (ADFs) for 2-D signal processing have become a fascinating area of the adaptive signal processing. However, conventional 2-D FIR ADF's require a lot of computations. For example, the TDLMS requires 2N2 multiplications per pixel. We propose a new 2-D adaptive filter using the FFTs. The proposed adaptive filter carries out the fast convolution using overlap-save method, and has parallel structure. Thus, we can reduce the computational complexity to O(log2N) per pixel.