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Lung cancer is one of the deadly and most common diseases in the world. Radiologists fail to diagnose small pulmonary nodules in as many as 30% of positive cases. Many methods have been proposed in the literature such as neural network algorithms. Recently, support vector machines (SVM)'s had received an increasing attention for pattern recognition. The(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, 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)
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)
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)
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