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Practical Biomedical Signal Analysis Using MATLAB (R)

processing methods and applications, this second edition of Practical Biomedical Signal Analysis Using MATLAB (R) also offers practical guidance on;

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine;

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Radar Signal Analysis and Processing Using MATLAB

Using MATLAB (R) provides a comprehensive source of theoretical and practical information on radar signals, signal analysis, and radar signal;

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Condition Monitoring Algorithms in MATLAB (R)

sets. A practical guide on how to directly access data from industrial condition monitoring systems (CMS) using MATLAB (R) .NET Libraries;

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Condition Monitoring Algorithms in MATLAB

sets. A practical guide on how to directly access data from industrial condition monitoring systems (CMS) using MATLAB (R) .NET Libraries;

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Fundamentals of Image, Audio, and Video Processing Using MATLAB (R)

, modifying, and writing image, audio, and video files using the data analysis and visualization tool MATLAB (R). Key Features;

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Fundamentals of Image, Audio, and Video Processing Using MATLAB (R)

, modifying, and writing image, audio, and video files using the data analysis and visualization tool MATLAB (R). Key Features;

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Design and Analysis of Analog Filters

. Useful Aspects of Design and Analysis of Analog Filters: A Signal Processing Perspective extensive use of MATLAB (R) throughout, with many;

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Digital Control Applications Illustrated with MATLAB

Digital Control Applications Illustrated with MATLAB (R) covers the modeling, analysis, and design of linear discrete control systems;

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Biomedical Signal Analysis for Connected Healthcare

Biomedical Signal Analysis for Connected Healthcare provides rigorous coverage on several generations of techniques, including time;

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Discrete Random Signal Processing and Filtering Primer With Matlab

Engineers in all fields will appreciate a practical guide that combines several new effective MATLAB (R) problem-solving approaches and the;

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Discrete Random Signal Processing and Filtering Primer with MATLAB

Engineers in all fields will appreciate a practical guide that combines several new effective MATLAB (R) problem-solving approaches and the;

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Digital Signal and Image Processing using MATLAB, Volume 2

supported by exercises and computer simulations relating to real applications. More than 200 programs and functions are provided in the MATLAB(R;

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Digital Control Applications

Digital Control Applications Illustrated with MATLAB (R) covers the modeling, analysis, and design of linear discrete control systems;

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Digital Signal Processing Using MATLAB

implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB (R) makes it possible;

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Nonlinear Biomedical Signal Processing

Featuring current contributions by experts in signal processing and biomedical engineering, this book introduces the concepts, recent;

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Signals and Systems

System and Signal Analysis, 3/e bridges the gap between simple linear circuit analysis and the study of larger, more complex systems. It;

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Signal Processing for Neuroscientists

Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students;

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Statistics for Biomedical Engineers and Scientists

statistical measures and perform hypothesis tests 'by hand', and visualize data and perform statistical analysis using MATLAB. Practical activities;

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Signal Processing for Neuroscientists

section developed by the author. Since the modeling of systems and signal analysis are closely related, integrated presentation of these topics;

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Electrocardiogram Image Digitization

interpretation is essentially required in order to evaluate the valuable information inside the ECG signal. The conventional technique of visual analysis;

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Brief Notes in Advanced DSP

Based on the authors' research in Fourier analysis, Brief Notes in Advanced DSP: Fourier Analysis with MATLAB (R) addresses many concepts;

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Practical MATLAB

, you'll cover signal and image processing, as well as GUIs. After reading and using Practical MATLAB and its accompanying source code, you'll have;

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Digital Signal and Image Processing using MATLAB, Volume 3

Volume 3 of the second edition of the fully revised and updated Digital Signal and Image Processing using MATLAB, after first two volumes;

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Numerical Methods

that have practical applications. The authors' approach is to integrate MATLAB (R) with numerical analysis in a way which adds clarity to the;

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An Introduction to Signal Processing for Non-Engineers

basic knowledge and skills in signal processing. Most of illustrations in the book have been created by computer programming in MATLAB (R); thus;

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Digital Signal Processing Using MATLAB

gain insight with this supplementary text. DIGITAL SIGNAL PROCESSING USING MATLAB : A PROBLEM SOLVING COMPANION, 4E greatly expands the range;

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