The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence (AI) and machine learning (ML), yielding new tools for signal estimation, classification, prediction, and manipulation. Layered signal representations, nonlinear function approximation and nonlinear signal prediction are now feasible at very large scale in both dimensionality and data size. These are leading to significant performance gains in a variety of long-standing problem domains like speech and Image...

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Machine Learning Methods for Signal, Image and Speech Processing

Jabbar, M. A.; Kantipudi, M. V. V. Prasad; Peng, Sheng-lung; Reaz, Mamun Bin Ibne; Madureira, Ana Maria

Used - Soft cover

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