Adjustable PSO Based FIR Filter Design Using Advanced Error Function Approach of Minimizing Frequency Response Ripples
@inproceedings{Singh2013AdjustablePB, title={Adjustable PSO Based FIR Filter Design Using Advanced Error Function Approach of Minimizing Frequency Response Ripples}, author={R.K. Singh and Nupur Mittal}, year={2013} }
Digital Filter is an important part of digital signal processing (DSP) system and it usually comes in two categories: finite impulse response (FIR) and infinite impulse response (IIR). FIR filter is an attractive choice because of the ease in design and stability. By designing the filter taps to be symmetrical about the centre tap position, a FIR filter can be guaranteed to have linear phase. Linear phase FIR filters are also required when time domain features are specified [1-2]. Keywords—Test…
No Paper Link Available
5 Citations
NATURE-INSPIRED OPTIMIZATION TECHNIQUE FOR THE DESIGNING OF BAND-PASS DIGITAL FIR FILTER
- Computer Science
- 2015
This paper showcases designing of optimal digital FIR band-pass filter using Bio-inspired heuristic optimization (PSO) technique. PSO is a robust technique with inherent parallelism, which can be…
Design and analysis of linear phase FIR filter in FPGA using PSO algorithm
- Computer Science2017 6th Mediterranean Conference on Embedded Computing (MECO)
- 2017
FIR filters are designed using PSO algorithm effectively and then implemented in FPGA using STARTIX-II and Cyclone-II devices for comparison and the area performance has been checked.
Nature Inspired Optimization Technique used for Design of Band Stop FIR Digital Filter
- Computer Science
- 2015
Band stop digital FIR filter is designed by using five different mutation strategies of differential evolution (DE) Algorithm, which shows that by adjusting Population size, Mutation factor, Crossover rate the DE algorithm can minimize Magnitude Error and Ripple Magnitude error in Stop Band and Pass band.
Nature Inspired Optimization Technique for the Design of Band Stop FIR Digital Filter
- Computer Science
- 2016
Band stop digital FIR filter is designed by using five different mutation strategies of differential evolution (DE) Algorithm, which shows that by adjusting Population size, Mutation factor, Crossover rate the DE algorithm can minimize Magnitude Error and Ripple Magnitude error in Stop Band and Pass band.
An approach to enhance performance of Kaiser window based filter
- Computer Science, Engineering2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)
- 2016
A new strategy based on the weight lifting strategy of ants has been proposed for optimizing parameters to design a digital filter using Kaiser Window function, and a new innovative objective function has been introduced for optimization that performs on the signal de-noising capability of the filters implemented by the optimized sets of parameters.
References
SHOWING 1-10 OF 25 REFERENCES
FIR Digital Filters Design: Particle Swarm Optimization Utilizing LMS and Minimax Strategies
- Engineering2008 IEEE International Symposium on Signal Processing and Information Technology
- 2008
In this paper, a FIR filter is designed using particle swarm optimization (PSO). Two design cases are organized as follows: low-pass and band-pass filter. In addition, the authors examine the utility…
Optimal linear phase finite impulse response band pass filter design using craziness based particle swarm optimization algorithm
- Computer Science
- 2011
Several numerical design examples justify that the proposed optimal filter design approach using CRPSO outperforms PMA and PSO, not only in the accuracy of the designed filter but also in the convergence speed and solution quality.
Linear phase FIR filter design using particle swarm optimization and genetic algorithms
- Computer ScienceDigit. Signal Process.
- 2008
A new design method based on artificial bee colony algorithm for digital IIR filters
- Engineering, Computer ScienceJ. Frankl. Inst.
- 2009
FIR Digital Filters Design Based on Quantum-behaved Particle Swarm Optimization
- Computer ScienceFirst International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06)
- 2006
It has been demonstrated by experiment results that QPSO outperforms the PSO and genetic algorithm (GA) for the problem and it is presented how to use it in FIR digital filters design.
Design of Digital FIR Filters Using Differential Evolution Algorithm Based on Reserved Genes
- Computer Science
- 2014
The New Differential evolution algorithm based on reserve genes (Eclectic Differential Evolution) have been used here for the design of finite impulse response filters.
FIR and IIR digital filters
- Engineering, Computer Science
- 2000
A digital filter is a basic building block in any digital signal processing (DSP) system. The simulation results presented show how finite bit precisions can affect the performance of a digital…
Chebyshev Approximation for Nonrecursive Digital Filters with Linear Phase
- Computer Science
- 1972
An efficient procedure for the design of finite-length impulse response filters with linear phase is presented. The algorithm obtains the optimum Chebyshev approximation on separate intervals…
Designing digital FIR filters using Tabu search algorithm
- Engineering, BusinessProceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97
- 1997
A novel method is presented for designing digital FIR filters. The method is based on a parallel Tabu search algorithm. The proposed approach has proved to be highly effective and produced a good…
Particle Swarm Optimization with Quantum Infusion for the design of digital filters
- Computer Science2008 IEEE Swarm Intelligence Symposium
- 2008
In this paper, particle swarm optimization with quantum infusion (PSO-QI) has been applied for the design of digital filters and this new algorithm is implemented in the designs of finite impulse response (FIR) and infinite impulse response(IIR) filter.