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- W2461008092 abstract "Optimal design of fixed coefficient finite word length linear phase FIR digital filters for custom ICs has been the focus of research in the past decade. With the ever increasing demands for high throughput and low power circuits, the need to design filters with reduced hardware complexity has become more crucial. Multiplierless filters provide substantial saving in hardware by using a shift add network to generate the filter coefficients. In this thesis, the multiplierless filter design problem is modeled as combinatorial optimization problem and is solved using a discrete Differential Evolution algorithm. The Differential Evolution algorithm’s population representation adapted for the finite word length filter design problem is developed and the mutation operator is redefined for discrete valued parameters. Experiments show that the method is able to design filters up to a length of 300 taps with reduced hardware and shorter design times." @default.
- W2461008092 created "2016-07-22" @default.
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- W2461008092 date "2016-01-01" @default.
- W2461008092 modified "2023-09-27" @default.
- W2461008092 title "Linear-Phase FIR Digital Filter Design with Reduced Hardware Complexity using Discrete Differential Evolution" @default.
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