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Memon, Abdul Rehman
- Global Optimal Solution for Active Noise Control Problem
Abstract Views :387 |
PDF Views:119
Authors
Affiliations
1 Faculty of Engineering Sciences & Technology, Hamdard University, PK
2 Faculty of Engineering Sciences & Technology, Hamdard University, PK
3 School of EEE, Nanyang Technological University, SG
4 Engineering division, University Malaysia Perlis, SG
1 Faculty of Engineering Sciences & Technology, Hamdard University, PK
2 Faculty of Engineering Sciences & Technology, Hamdard University, PK
3 School of EEE, Nanyang Technological University, SG
4 Engineering division, University Malaysia Perlis, SG
Source
Indian Journal of Science and Technology, Vol 4, No 9 (2011), Pagination: 1015-1020Abstract
This paper presents the global optimal solution for active noise cancellation using Genetic algorithm technique. The conventional active noise control methods such as FXLMS have problem of local minima. The proposed global optimal solution based on Genetic algorithm can handle this problem very well and give batter results. Computer simulation results demonstrate that Genetic algorithm based active noise control system give more optimal results.Keywords
Active Noise Control, Optimal Solution, Genetic AlgorithmFull Text
References
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- On the Optimal Design of IIR Filter with its State-space Realization
Abstract Views :469 |
PDF Views:103
Authors
Affiliations
1 Faculty of Engineering Sciences & Technology, Hamdard University, PK
1 Faculty of Engineering Sciences & Technology, Hamdard University, PK
Source
Indian Journal of Science and Technology, Vol 4, No 9 (2011), Pagination: 1021-1024Abstract
The most widely used digital filters are finite impulse response (FIR) filters that are usually implemented with the transversal structures. For FIR filter, the output signal is a linear combination of filter coefficients that produces a quadratic function (mean-square-error) with a distinctive optimal operation point. FIR filter alternatively be realized for obtaining improvements in comparison of transversal filter structure for speed of convergence, computational complexity and finite word length properties. IIR filtering techniques exhibit reliable alternative for traditional FIR filtering. The principal advantage of IIR filters is lesser parameterization to achieve at par performance of FIR filters. In addition, the pole-zero structures ease their modeling in physical systems. On the other hand, the tradeoff for the attributes have few drawbacks inherent to IIR filtering with recursive structure such as filter stability, convergence to bias and/or local minima and for very slow convergence. This research paper proposes a new structure and realization of IIR filter. Special consideration is given to the issue of optimal state-space realization and newpole modulus based stability is derived.Keywords
IIR Filtering, State-space Realization, ρ-realization, Pole-modulus Based StabilityFull Text
References
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