2008
DOI: 10.1002/wcm.694
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Optimization of wavelet based OFDM for multipath powerline channel by genetic algorithm

Abstract: Using genetic algorithm (GA), optimal wavelets are obtained to reduce ISI and ICI powers of a wavelet-based orthogonal frequency division multiplexing (OFDM) system over a practical two path low-voltage powerline channel or two path fading channel by relaxing the perfect quadrate mirror filter (QMF) orthogonality. Optimum wavelet-based OFDM system experiences less interference compared to conventional and Daubechies (Db) wavelet-based OFDM systems.

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Cited by 9 publications
(5 citation statements)
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“…For continuous wavelet transform there exist no viable inverse in practice due to the redundancy in the information which will require extensive analytical calculation, but in theory (only mathematically) the inverse for this transform can be written as [6]:…”
Section: Wavelets Backgroundmentioning
confidence: 99%
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“…For continuous wavelet transform there exist no viable inverse in practice due to the redundancy in the information which will require extensive analytical calculation, but in theory (only mathematically) the inverse for this transform can be written as [6]:…”
Section: Wavelets Backgroundmentioning
confidence: 99%
“…Unlike the conventional FFT-OFDM system wavelet scheme satisfies the condition for orthogonality and achieves perfect reconstruction (PR) using the orthogonal filters of the Quadrature mirror filter (QMF) banks [6]. Discrete wavelet transform has large power spectral density as compared to FFT-OFDM due to the fact that DWT produce well contained side lobes with the narrower side lobe having the contained energy with reduced out-of-band emissions.…”
Section: Introductionmentioning
confidence: 99%
“…The wavelet-based system achieves orthogonality through the use of orthogonal wavelet filters, also referred to as filter banks [19]. The DWT produces narrow side lobes with large power spectral density.…”
Section: Introductionmentioning
confidence: 99%
“…The orthogonality between the subcarriers follows the orthogonal characteristic of Wavelet transform. Besides, it provides bandwidth efficiency as compared to the DFT based OFDM systems [2]. Wavelet packet decompositions generate set of self and mutually orthogonal waveforms which could also be used for synchronous orthogonal multiplexing for wireless communication system [3].…”
Section: Introductionmentioning
confidence: 99%