Orthogonal Wavelets and Signal Processing: Multiresolution Analysis. Two Orthogonal Wavelet Bases. Discrete Wavelets and the Daubechies Construction. The Discrete Wavelet Transform Algorithm. Wavelets and Multiscale EdgeDetection. Wavelets and Non-Stationary Signal Analysis. Signal Compression Using Wavelets. Adaptive Filtering Using Vector Spaces of Systems: Fundamentals of Adaptive Filtering. The Vector Space Adaptive Filter. Algorithm Convergence and AsymptoticPerformance. Choosing the Vector Space. Choosing the Basis. Examples. Order Statistics and Adaptive Filtering: Median and Order Statistic Filters. Adaptive Filters and Order Statistics. OS Filters and Robustness. Rapid Adaptation--An Ad-Hoc Estimator. Multi-Layer Perceptron Neural Networks with Application to Speech Recognition: The Multi-Layer Perceptron. Signal Classification Design Examples. Perceptron Architecture and Learning. Statistical Training of Multi-Layer Perceptrons. Combining Multi-Layer Perceptrons for Speech Recognition. Auditory Localization Using Spectral Information: A Localization Model Based on HRTFs. Template Matching and a Matching Measure. Normalized Correlation Matching. Optimal DMM Matching. Matching Using Backpropagation Neural Networks. Experiments. Signal Processing by Projection Methods: Applications to Color Matching, Resolution Enhancement, and Blind Deconvolution: The Method of Projections Onto Convex Sets. Color Matching Problems. Resolution Enhancement. Generalized Projections. Projection-Based Blind Deconvolution. Projection Based Image Reconstruction from Compressed Data: Principles of the Proposed Recovery Approach. Constraint Set Based on the Transmitted Data. Constraint Sets Based on Prior Knowledge. The Recovery Algorithm. A Simplified Algorithm. Computational Complexity Analysis. Experiments. Non-Orthogonal Expansion for Template Matching and Edge Detection: The Correlation Approach: A Brief Review. The Discriminative Signal-to-Noise Ratio and Expansion Matching. EXM Related to Minimum Squared Error Restoration. EXM Related to Non-Orthogonal Expansion. Experimental Results. EXM-based Optimal DSNR Edge Detection. Locally Optimum Detection and Its Application to Communicationsand Signal Processing: Derivation of the Memoryless Locally Optimum Detector. Derivation of the Locally Optimum Detector with Memory. Detector Implementation Methods. LO Detection Applied to a Spread Spectrum System. Estimation of Probability Density Functions Using Projections Onto Convex Sets: Constraint Sets for Probability Density Function Estimation. Determining the Parameters in Constraint Sets. Competing Algorithms. Numerical Results. Subject Index.