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Mew-Law and Optimum Quantizer, by Somnath Sengupta

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Adaptive Quantizer, by Somnath Sengupta

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Radial Basis Function Networks: Cover’s Theorem, by Somnath Sengupta

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Introduction to Artificial Neural Networks, by Somnath Sengupta

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Introduction, by Somnath Sengupta

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Speech Production Model, by Somnath Sengupta

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Least Mean Squares Algorithm, by Somnath Sengupta

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Audio Coding AC-3, by Somnath Sengupta

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V.C. Dimensions: Typical Examples, by Somnath Sengupta

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H.323:Multiplexing:Header Compression and BW, by Somnath Sengupta

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Single-Layer Perceptions, by Somnath Sengupta

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Artificial Neuron Model and Linear Regression, by Somnath Sengupta

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LPC Vocoder, by Somnath Sengupta

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Bayes Classifier for Gaussian Distribution, by Somnath Sengupta

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Associative Memory Model, by Somnath Sengupta

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Perceptron Convergence Theorem, by Somnath Sengupta

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Motion Estimate Techniques, by Somnath Sengupta

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Interworking with PSTN Limitations and Solution, by Somnath Sengupta

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Introduction to Image and Video Coding, by Somnath Sengupta

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Embedded Zero Tree Wavelet Encoding, by Somnath Sengupta

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Lossy Image Compression : DCT, by Somnath Sengupta

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Condition for Perfect Recall in Associative Memory, by Somnath Sengupta

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Bayes Classifier & Perceptron: An Analogy, by Somnath Sengupta

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ISDN Video Conferencing, by Somnath Sengupta

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Comparison between MLP and RBF, by Somnath Sengupta

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Multi-Class Classification Using Multi-Layered Perceptrons, by Somnath Sengupta

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Heuristics for Back-Propagation, by Somnath Sengupta

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Video Coding : Basic Building Blocks, by Somnath Sengupta

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Nonlinear Activation Units and Learning Mechanisms, by Somnath Sengupta

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Back Propagation Algorithm, by Somnath Sengupta

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