Performance analysis of DE-optimized multiplier-less finite impulse response data transmission filter
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[1] P. N. Suganthan,et al. Differential Evolution: A Survey of the State-of-the-Art , 2011, IEEE Transactions on Evolutionary Computation.
[2] Kok Lay Teo,et al. A Discrete Filled Function Method for the Design of FIR Filters With Signed-Powers-of-Two Coefficients , 2008, IEEE Transactions on Signal Processing.
[3] Abhijit Chandra,et al. Selection of computationally efficient mutation strategy of differential evolution algorithm for the design of multiplier-less low-pass FIR filter , 2011, 14th International Conference on Computer and Information Technology (ICCIT 2011).
[4] Chao-Liang Chen,et al. A trellis search algorithm for the design of FIR filters with signed-powers-of-two coefficients , 1999 .
[5] Abhijit Chandra,et al. Comparison of various mutation schemes of Differential Evolution algorithm for the design of low-pass FIR filter , 2011 .
[6] G. Ungerboeck,et al. Optimum FIR Transmitter and Receiver Filters for Data Transmission Over Band-Limited Channels , 1982, IEEE Trans. Commun..
[7] Chip-Hong Chang,et al. Design of Low-Complexity FIR Filters Based on Signed-Powers-of-Two Coefficients With Reusable Common Subexpressions , 2007, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
[8] H. Samueli. The design of multiplierless digital data transmission filters with powers-of-two coefficients , 1990, SBT/IEEE International Symposium on Telecommunications.
[9] Theodore S. Rappaport,et al. Wireless communications - principles and practice , 1996 .
[10] H. Samueli,et al. On the design of optimal equiripple FIR digital filters for data transmission applications , 1988 .
[11] Simon Haykin,et al. Communication Systems , 1978 .
[12] An-Yeu Wu,et al. A design flow for multiplierless linear-phase FIR filters: from system specification to Verilog code , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).
[13] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..