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Said Boussakta

Researcher at Newcastle University

Publications -  188
Citations -  1988

Said Boussakta is an academic researcher from Newcastle University. The author has contributed to research in topics: Orthogonal frequency-division multiplexing & Convolution. The author has an hindex of 21, co-authored 184 publications receiving 1843 citations. Previous affiliations of Said Boussakta include Teesside University & University of Sheffield.

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Digital image watermarking using balanced multiwavelets

TL;DR: A robust watermarking algorithm using balanced multiwavelet transform is proposed, which achieves simultaneous orthogonality and symmetry without requiring any input prefiltering, making this transform a good candidate for real-timeWatermarking implementations such as audio broadcast monitoring and DVD video water marking.
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Adaptive Distributed MIMO Radar Waveform Optimization Based on Mutual Information

TL;DR: This research work aims at improving the target detection and feature extraction performance by maximizing the mutual information between the target impulse response and the received echoes in the first step, and then minimizing the MI between successive backscatter signals in the second step.
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OFDM Based on Low Complexity Transform to Increase Multipath Resilience and Reduce PAPR

TL;DR: A new multicarrier system using a low computational complexity transform that combines the Walsh-Hadamard transform (WHT) and the discrete Fourier transform (DFT) into a single fast orthonormal unitary transform, leading to a significant improvement in bit error rate (BER) and reasonable reduction in the peak-to-average power ratio (PAPR).
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Fast Parallel-Prefix Architectures for Modulo 2n-1 Addition with a Single Representation of Zero

TL;DR: Novel modulo 2n-1 addition algorithms for residue number system (RNS) applications are presented, which offer significant speedup and can also offer a reduction in area and thus provide improvements in the cost functions area times delay2 and energy times delay.
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Novel System Architecture and Waveform Design for Cognitive Radar Radio Networks

TL;DR: The proposed solution is achieved by applying the mutual-information-based strategy to design the sequence of UWB transmission pulses and embed into them the communication data with the pulse position modulation scheme, and demonstrates an improvement in extraction of the parameters from the radar scene, while still maintaining high-throughput radio links with low bit error rates between CRR nodes.