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"The main aim of this book is to introduce different signal processing models which have been used in analyzing periodic data, and different statistical and computational issues. This book discuss in detail the sinusoidal frequency model which has been used extensively in analyzing periodic data occuring in various fields. This book have tried to introduce different associated models and higher dimensional statistical signal processing models which have been further discussed in the literature. Different real data sets have been analyzed to illustrate how different models can be used in practice. Several open problems have been indicated for future research."

"The book shows how the various paradigms of computational intelligence, employed either singly or in combination, can produce an effective structure for obtaining often vital information from ECG signals. The text is self-contained, addressing concepts, methodology, algorithms, and case studies and applications, providing the reader with the necessary background augmented with step-by-step explanation of the more advanced concepts. It is structured in three parts, part I covers the fundamental ideas of computational intelligence together with the relevant principles of data acquisition, morphology and use in diagnosis, part II deals with techniques and models of computational intelligence that are suitable for signal processing, and part III details ECG system-diagnostic interpretation and knowledge acquisition architectures. Illustrative material includes, brief numerical experiments. detailed schemes, exercises and more advanced problems."