A Multi-layer 2-D Adaptive Filtering Architecture Based on McClellan Transformation

A fully pipelined systolic array structure for multidimensional adaptive filtering is proposed. It utilizes the wellknown McClellan Transformation (MT) to reduce the total number of parameters used in the 2-D filter. A new multilayer triangular array, which is based on QR-decomposition RLS (QRD-RLS) as well as the projection method, is d e rived 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, N ) . Because of the fast convergence rate of the QRD-RLS alge rithms, it is suitable for real-time image processing such as video signal processing.

• Type: Conference
• Year: 1993
• Where: ISCAS
• Authors: K. J. Ray Liu, An-Yeu Wu
• Keywords: Hardware, ISCAS 1993, Multilayer Triangular Array, Systolic Array Structure, Wellknown Mcclellan Transformation