Wail A. H. Mousa

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In this paper, complex-valued multi-dimensional (m-D) FIR digital filters using the vector space projection method (VSPM) is proposed for designing seismic migration digital filters. In general, designing FIR digital filters using the VSPM is able to produce feasible solutions satisfying all desired filter constraints by the use of only two fast Fourier(More)
We propose the design of multi-dimensional (m-D) complex-valued FIR digital filters using the thoery of Projection onto Convex Sets (POCS). The proposed design algorithm is a generalization of the one-dimensional (1-D) real-valued FIR filter design cases reported in [1, 2] to m-D complex-valued FIR filters. Simulation results show that the resulting(More)
Residual vector quantization (RVQ) is a vector quantization (VQ) paradigm which imposes structural constraints on the encoder in order to reduce the encoding search burden and memory storage requirements of an unconstrained VQ. Jointly optimized RVQ (JORVQ) was introduced as an effective design algorithm for minimizing the overall quantization error.(More)
In this paper, we propose a new scheme for realizing predesigned two-dimensional (2-D) complex-valued seismic migration FIR digital filters, which are used for migrating three-dimensional (3-D) seismic volumes. The realization is based on singular value decomposition (SVD) of such quadrantal symmetrical 2-D FIR filters. In order to simplify the SVD(More)
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