Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
Random Data: Analysis and Measurement Procedures
Random Data: Analysis and Measurement Procedures
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
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Applied engineers will happily place this book adjacent to their 'Numerical Recipes' volume. Masters' fills this volume with methodology based on many years of experience. The title is misleading, implying that neural networks are to be used for signal and image processing. The book is not about neural networks, but about how 'features' can be extracted from raw data and formatted for neural networks. The methodology described is sound signal processing and can be applied to a variety of processing tasks. However, many readers will deride this volume as Masters provides little theoretical or mathematical background. The volume is filled with applied tips and examples, and the C++ algorithms on the accompanying disk are skillfully written. The book has a very specific agenda, despite its title, and it does a good job outlining complex topics with minimal background. The book is very well suited for the investigator that needs to implement a neural network solution quickly and with minimal grasp of the material. Despite its faults, I would definitely recommend it to any engineer looking for applied tools for implementing neural networks to solve a signal processing task.