Signal Processing Noise 1st Edition by Vyacheslav Tuzlukov – Ebook PDF Instant Download/Delivery. 0849310253, 9780849310256
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Product details:
ISBN 10: 0849310253
ISBN 13: 9780849310256
Author: Vyacheslav Tuzlukov
Additive and multiplicative noise in the information signal can significantly limit the potential of complex signal processing systems, especially when those systems use signals with complex phase structure. During the last few years this problem has been the focus of much research, and its solution could lead to profound improvements in applications of complex signals and coherent signal processing. Signal Processing Noise sets forth a generalized approach to signal processing in multiplicative and additive noise that represents a remarkable advance in signal processing and detection theory. This approach extends the boundaries of the noise immunity set by classical and modern signal processing theories, and systems constructed on this basis achieve better detection performance than that of systems currently in use. Featuring the results of the author’s own research, the book is filled with examples and applications, and each chapter contains an analysis of recent observations obtained by computer modelling and experiments. Tables and illustrations clearly show the superiority of the generalized approach over both classical and modern approaches to signal processing noise. Addressing a fundamental problem in complex signal processing systems, this book offers not only theoretical development, but practical recommendations for raising noise immunity in a wide range of applications.
Signal Processing Noise 1st Table of contents:
1. Probability and Statistics
2. Classical and Modern Approaches to Signal Detection Theory
3. Main Characteristics of Multiplicative Noise
4. Statistical Characteristics of Signals under the Stimulus of Multiplicative Noise
5. Main Theoretical Principles of Generalized Approach to Signal Processing under the Stimulus of M
6. Generalized Approach to Signal Processing under the Stimulus of Multiplicative Noise and Linear
7. Generalized Approach to Signal Detection in the Presence of Multiplicative and Additive Gaussian
8. Signal Parameter Measurement Precision
9. Signal Resolution under the Generalized Approach to Signal Processing in the Presence of Noise
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