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

Fundamentals of Image, Audio, and Video Processing Using MATLAB (R) introduces the concepts and principles of media processing and its;

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

Fundamentals of Image, Audio, and Video Processing Using MATLAB (R) introduces the concepts and principles of media processing and its;

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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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Random Signal Processing

estimation and detection. MATLAB simulations are included for each concept with output of the program with case studies and project ideas. The;

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Random Signal Processing

estimation and detection. MATLAB simulations are included for each concept with output of the program with case studies and project ideas. The;

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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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Biomedical Signal and Image Processing

improvements to provide the most up-to-date reference available on the fundamental signal and image processing techniques that are used to process;

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Audio Signal Processing And Coding

addresses all aspects of the field. Coverage includes signal processing and perceptual (psychoacoustic) fundamentals, details on relevant research;

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Discrete Fourier Analysis and Wavelets

of signal and image processing * Expands the discussion on spectrograms using a frames approach, which is an ideal method for reconstructing signals;

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Digital Signal Processing Using MATLAB

software, they require a significant amount of programming. Using interactive software, such as MATLAB , enables you to focus on mastering new and;

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Digital Signal and Image Processing using MATLAB, Volume 2

The most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals, the theory being;

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Processing of Seismic Reflection Data Using MATLAB

This short book is for students, professors and professionals interested in signal processing of seismic data using MATLAB (TM). The step;

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Signals and Systems Using MATLAB

Signals and Systems Using MATLAB, Third Edition, features a pedagogically rich and accessible approach to what can commonly be a;

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Applied Speech And Audio Processing

modelling, a subject which underpins MP3 and related audio formats. With its hands-on nature and numerous MATLAB examples, this book is ideal for;

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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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Video, Speech, and Audio Signal Processing and Associated Standards

information on signal processing algorithms and protocols related to speech, audio, multimedia, and video processing technology associated with;

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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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Fundamentals of Signal Processing for Sound and Vibration Engineers

Fundamentals of Signal Processing for Sound and Vibration Engineers is based on Joe Hammond's many years of teaching experience at the;

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Denoising Audio Signal from Various Realistic Noise using Wavelet Transform

and Electricals - Digital signal processing, language: English, abstract: Audio signals are more frequently polluted with various types;

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A MATLAB-Based FM Demodulator for the Radio Broadcast Data System

signal into a MATLAB(r)-compatible format. The signal is then recorded on the host computer and processed using signal processing algorithms;

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Quaternion Fourier Transforms for Signal and Image Processing

Based on updates to signal and image processing technology made in the last two decades, this text examines the most recent research;

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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

confident of the fundamentals and to gain insights into DSP. Further, it presents real-world signal processing design problems using MATLAB and;

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Digital Signal Processing

confident of the fundamentals and to gain insights into DSP. Further, it presents real-world signal processing design problems using MATLAB and;

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