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Innovative Approach Architecture Designed For Realizing Fixed Point Least Mean Square Adaptive Filter with Less Adaptation Delay
unpublished
In this work, we propose a new Architecture for Delayed Least Mean Square Adaptive filter. In this proposed architecture, we used a novel partial product generator in place of multipliers to compute the inner product by sharing a common sub expression. The adaptation delay is significantly reduced by using an efficient addition scheme in computation of inner product. The adaptation delay and power dissipations are further reduced by introducing optimized balanced pipelining across the time
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