Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/69667
Title: Complexity reduction of high-speed FIR filters using micro-genetic algorithm
Authors: Cen, L.
Lian, Y. 
Issue Date: 2004
Source: Cen, L.,Lian, Y. (2004). Complexity reduction of high-speed FIR filters using micro-genetic algorithm. International Symposium on Control, Communications and Signal Processing, ISCCSP : 419-422. ScholarBank@NUS Repository.
Abstract: In the ASIC implementation, a long FIR filter can operate at high speed without pipelining if it is factorized into several short filters whose coefficients are in the form of the sum of signed powers-of-two terms. Such implementation reduces the hardware cost and lowers the power consumption significantly as it requires no multipliers. This paper presents a filter synthesis method that factorizes a long filter into several short filters and quantizes the coefficients of all short filters into signed powers-of-two values simultaneously using micro-genetic algorithm (μGA). The proposed μGA speeds up the optimization process greatly compared to conventional GA.
Source Title: International Symposium on Control, Communications and Signal Processing, ISCCSP
URI: http://scholarbank.nus.edu.sg/handle/10635/69667
ISBN: 0780383796
Appears in Collections:Staff Publications

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