Signal Processing and Machine Learning With Applications (Hardcover)

Introduction.- Signal Processing Background.- Digital Filters.- Adaptive Filters.- Spectral Analysis.- General Learning.- Stochastic Processes.- Feature Extractions.- Probability for Signal Processing.- Machine Learning for Signal Processing.- Unsupervised Learning.- Markov Model and Hidden Stochastic Model (HSM).- Fuzzy Logic and Rough Sets.- Neural Networks.- Reasoning Methods and Noise Removal.- Audio Signals and Speech Recognition.- Aspects of Human Hearing.- Speech Processing.- Biomedical Signal Processing.