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• W2126617348 abstract "A fully pipelined systolic array structure for multidimensional adaptive filtering is proposed. It utilizes the McClellan transformation (MT) to reduce the total number of parameters used in the 2D filter. A new multilayer triangular array, which is based on QR-decomposition recursive least squares (RLS) (QRD-RLS) as well as the projection method, are derived for the '1-D prototype filter' of MT. The hardware complexity for the new architecture is only O(N). The system latency is also reduced from O(N) to O(log/sub 2/ N). The QRD-RLS algorithm is suitable for real-time image processing such as video signal processing.< <ETX xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>></ETX>" @default.
• W2126617348 created "2016-06-24" @default.
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• W2126617348 date "1993-05-01" @default.
• W2126617348 modified "2023-09-27" @default.
• W2126617348 title "A multi-layer 2D adaptive filtering architecture based on McClellan transformation" @default.
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• W2126617348 doi "https://doi.org/10.1109/iscas.1993.394145" @default.
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