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Signal Processing of Random Physiological Signals

to evaluate random physiological signals. A secondary goal is to learn the evaluation of actual mammalian data without spending most the time;

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Random Signal Processing

This book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral;

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Random Signal Processing

This book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral;

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An Introduction to Statistical Signal Processing

process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating;

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An Introduction to Statistical Signal Processing

process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating;

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Adaptive Processing of Brain Signals

understanding and analysis of brain signals. No attempt is made to comment on physiological aspects of brain activity; instead, signal processing;

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Fundamentals of Signal Processing for Sound and Vibration Engineers

sound and vibration engineering field. Split into two parts, covering deterministic signals then random signals, and offering a clear;

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Signal Processing

is to provide an elementary, informal introduction, as well as a comprehensive account of principles of random signal processing, with emphasis;

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Multidimensional Signal and Color Image Processing Using Lattices

signals and signal periodicities Chapters on sampling and reconstruction, random field models, symmetry invariant signals and systems and;

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Introduction to Random Signals and Noise

Random signals and noise are present in many engineering systems and networks. Signal processing techniques allow engineers to distinguish;

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Advanced Methods of Biomedical Signal Processing

their clinical or physiological applications. The book provides an overview of a compelling group of advanced biomedical signal processing;

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Advanced Signal Processing and Digital Noise Reduction

of stochastic signal processing. The chapter begins with an introduction to random signals, stochastic processes, probabilistic models and statistical;

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Fractional Processes and Fractional-Order Signal Processing

Processing, some complex random signals, characterized by the presence of a heavy-tailed distribution or non-negligible dependence between distant;

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Bioelectrical Signal Processing in Cardiac and Neurological Applications

" areas of biomedical signal processing. The interdisciplinary nature of the topic is reflected in how the text interweaves physiological issues;

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Signals and Systems Primer with MATLAB

and infinite impulse response digital filters, and the fundamentals of random digital signal processing, including the nonparametric spectral;

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Optimal and Adaptive Signal Processing

filter algorithms and implementations. Topics discussed include random signals and optimal processing, adaptive signal processing with the LMS;

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Optimal and Adaptive Signal Processing

filter algorithms and implementations. Topics discussed include random signals and optimal processing, adaptive signal processing with the LMS;

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Singular Spectrum Analysis of Biomedical Signals

, and factorization Physiological, biological, and biochemical signal processing A new SSA grouping algorithm for filtering and;

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Singular Spectrum Analysis of Biomedical Signals

, and factorization Physiological, biological, and biochemical signal processing A new SSA grouping algorithm for filtering and;

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Randomness and Elements of Decision Theory Applied to Signals

professionals who need a quick introduction but practical introduction how to deal with random signals and processes;

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Discrete Random Signal Processing and Filtering Primer With Matlab

very latest in discrete random signal processing and filtering. Numerous Useful Examples, Problems, and Solutions - An Extensive and Powerful;

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Discrete Random Signal Processing and Filtering Primer with MATLAB

very latest in discrete random signal processing and filtering. Numerous Useful Examples, Problems, and Solutions - An Extensive and Powerful;

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Signals and Systems

This book provides a rigorous treatment of deterministic and random signals. It offers detailed information on topics including random;

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Signal Processing with Free Software

An ideal resource for students, industrial engineers, and researchers, Signal Processing with Free Software Practical Experiments presents;

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Advanced Signal Analysis and its Applications to Mathematical Physics

The mathematical tools used in signal analysis involve differential and difference equations, integral equations, matrix algebra and;

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Understanding Digital Signal Processing with MATLAB® and Solutions

due to random additive signals, known as noise, that distorts them or completely overshadows them. Such examples include an audio signal;

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Understanding Digital Signal Processing with MATLAB (R) and Solutions

due to random additive signals, known as noise, that distorts them or completely overshadows them. Such examples include an audio signal;

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