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Applied Signal and Image Processing

Applied Signal and Image Processing: Multidisciplinary Advancements highlights the growing multidisciplinary nature of signal and image;

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Applied Signal Processing

. Applied Signal Processing recognizes the linkage between the two paradigms and presents a unified treatment of both subjects (analog and digital;

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Applied Neural Networks for Signal Processing

The use of neural networks in signal processing is becoming increasingly widespread, with applications in many areas. Applied Neural;

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Advanced Methods of Biomedical Signal Processing

, biomedical data treatment, medicine, signal processing, system biology, and applied physiology introduce novel techniques and algorithms as well as;

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Smartphone-Based Real-Time Digital Signal Processing

Real-time or applied digital signal processing courses are offered as follow-ups to conventional or theory-oriented digital signal;

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Wavelets and Signal Processing

study and research in the rapidly growing areas of wavelets, wavelet transforms, signal analysis, and signal and image processing. Ideal;

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Cooperative and Graph Signal Processing

Cooperative and Graph Signal Processing: Principles and Applications presents the fundamentals of signal processing over networks and the;

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Digital and Statistical Signal Processing

information in the form of digital signals, using certain DSP hardware designed to execute software. Fundamental topics in digital signal processing;

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Digital and Statistical Signal Processing

information in the form of digital signals, using certain DSP hardware designed to execute software. Fundamental topics in digital signal processing;

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Statistical Methods in Control & Signal Processing

Presenting statistical and stochastic methods for the analysis and design of technological systems in engineering and applied areas, this;

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Rotating Machinery and Signal Processing

field of machine diagnostics and condition monitoring. It gathers contributions to the first Workshop on Signal Processing Applied to Rotating;

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Signal Processing for Mobile Communications Handbook

and tables, this handbook makes signal processing as applied to digital communications accessible for all professionals, researchers, and;

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Linear Estimation and Detection in Krylov Subspaces

between statistical signal processing and numerical mathematics is presented. In the second part, the theory is applied to iterative multiuser;

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Statistical Signal Processing in Engineering

A problem-solving approach to statistical signal processing for practicing engineers, technicians, and graduate students This book takes a;

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Introduction to Wavelets and Wavelet Transforms

researchers and practitioners in signal processing and applied mathematics.;

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Digital Signal Processing for Wireless Communication using Matlab

, unmanned aerial vehicles etc. This book is suitable for those who are doing basic and applied research in digital signal processing for wireless;

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Biomedical Signal Processing: Volume 2

. After the signal has been acquired, some manipulations are applied in order to enhance the relevant information present in the signal. Simple;

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Biomedical Signal Processing: Volume 2

. After the signal has been acquired, some manipulations are applied in order to enhance the relevant information present in the signal. Simple;

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Applied Speech Processing

Applied Speech Processing: Algorithms and Case Studies is concerned with supporting and enhancing the utilization of speech analytics;

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An Introduction to Statistical Signal Processing

This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to;

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An Introduction to Statistical Signal Processing

This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to;

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Signals and Images

in cooperative networks, three-dimensional television, and more. This book not only shows how signal processing theory is applied in current and;

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Signals and Images

in cooperative networks, three-dimensional television, and more. This book not only shows how signal processing theory is applied in current and;

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Seismic Data Interpretation using Digital Image Processing

seismology This book covers the basics of seismic exploration, with a focus on image processing techniques as applied to seismic data. Discussions;

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Signal Detection Theory

concepts of the generalized approach to signal processing in noise and to show how it may be applied in various areas of signal processing. The;

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Advanced Signal Analysis and its Applications to Mathematical Physics

applied mathematics. Partial differential equations are introduced as an additional tool in signal analysis. The book will be of use to signal;

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