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Research Article Open Access
An adaptive filter is a digital filter that can adjust its coefficients to give the best match to a given desired signal. When an adaptive filter operates in a changeable environment the filter coefficients can adapt in response to changes in the applied input signals. The choice of the filter structure and the criterion function used during the adaptation process, have the crucial influence to the characteristics of the adaptive Filter as a whole. A new design and implementation of FIR filters using Distributed Arithmetic is provided in this paper. Distributed Arithmetic structure is used to increase the resource usage while pipeline structure is also used to increase the system speed. The memory size can be reduced by decomposing the LUT. FIR filter is designed using multiplexer which is used to select the filter coefficients. The techniques used in this paper provide reduction in LUT size compared with the conventional Look up Table (LUT) of adaptive FIR filter. By the proposed method, area efficiency, low power and high throughput is achieved.
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Author(s): Jesmin Joy
adaptive filter, least mean square (LMS), distributed arithmetic (DA), finite impulse response., Autonomic and Context Aware Computing,Bioinformatics and Computational Biology,Broadband and Intelligent Networks,Calm Technology,CDMA/GSM Communication Protocol