Date of Publication :7th April 2016

Abstract: The fixed point DLMS adaptive filter is employed for image processing applications and typical for image denoising application. Adaptive filter adapts the filter coefficients according to an optimization algorithm. Because of its simplicity and satisfactory convergence performance LMS (Least Mean Square) algorithm is used. It does not support pipelined implementation because of its recursive behaviour. It is modified to a form called the Delayed LMS (DLMS) algorithm, which allows pipelined implementation of the filter. For achieving lower adaptation delay as well as area and delay efficiency, partial product generators (PPG) and ripple carry adder for adding scheme is used. Adaptation delay can be reduced by decoupling the computations at the error computation block and weight update block. It also emphasis on fixed point issues as location of radix point choice of word length and quantization at various stages of computation. It is most popular for real-time adaptive system.

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