Ishaq Gul Muhammad

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This paper presents a new learning-based framework to jointly solve equalization and symbol detection problems in orthogonal frequency division multiplexing systems with quadrature amplitude modulation. The framework utilizes extreme learning machine (ELM), a recent addition to the class of supervised learning algorithms, to achieve fast training, high(More)
This paper presents a low complexity, fast convergence new algorithm for updating the coefficients of time domain equalizer (TEQ) to shorten the effective channel. This algorithm is blind adaptive which exploits the presence of the FFT property, the orthogonality between adjacent subcarrier, in multicarrier modulation systems. Based on this property, a new(More)
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