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Introduction to Random Signals and Noise

grounding, this text provides a clear introduction to the fundamentals of stochastic processes and their practical applications to random signals;

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An Introduction To The Theory Of Random Signals And Noise

This bible of a whole generation of communications engineers was originally published in 1958. The focus is on the statistical theory;

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An Introduction to Information Theory Symbols Signals and Noise

Information Theory continues to be the most impressive nontechnical account available and a fascinating introduction to the subject for lay readers;

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An Introduction to Analog and Digital Communications

The second edition of this accessible book provides readers with an introductory treatment of communication theory as applied to the;

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Advanced Signal Processing and Digital Noise Reduction

basic operations of sampling and quantisation are reviewed in this chapter. Chapter 2 provides an introduction to the theory and applications;

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Detection of Signals in Noise

The second edition is an updated revision to the authors highly successful and widely used introduction to the principles and application;

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Noise Reduction Based on Microphone Array and Post-Filtering

noise reduction system based on microphone array and post-filtering is introduced from theory, through implementation, to application to robust;

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Analog, Digital and Multimedia Telecommunications

techniques; information theory and coding; amount of information; information transfer rate; baud rate; channel capacity and Shannon theorem; coding;

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Randomness and Elements of Decision Theory Applied to Signals

real-world problems. After an introduction to concepts of statistics and signals, the book introduces many essential applications to signal;

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New Signal Processing Research

signals such as ECG, radar signals, and many others. Processing of such signals includes storage and reconstruction, separation of information;

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The Estimation and Tracking of Frequency

. The book will thus serve as an excellent introduction and reference for researchers analysing such signals.;

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The Estimation and Tracking of Frequency

. The book will thus serve as an excellent introduction and reference for researchers analysing such signals.;

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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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Noises in Optical Communications and Photonic Systems

Transmitting information over optical fibers requires a high degree of signal integrity due to noise levels existing in optical systems;

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Noises in Optical Communications and Photonic Systems

Transmitting information over optical fibers requires a high degree of signal integrity due to noise levels existing in optical systems;

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Advanced Digital Signal Processing and Noise Reduction

Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory;

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Introduction to Digital Signal Processing

theory behind DSP is quite complex. DSP is primarily used to detect errors, and to filter and compress analog signals in transit. Basically, DSP;

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Transmission Principles for Technicians

A new edition of this well-known introduction to modern digital telecommunications networks. It has been revised and updated to provide;

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Tunable Low-Power Low-Noise Amplifier for Healthcare Applications

This book consists of the research, design and implementation, from sizing to layout with parasitic extraction and yield estimation, of a;

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An Epistemology of Noise

undertakes a philosophical revaluation of Shannon and Weaver's theory of 'information entropy'; this forms the basis upon which to challenge the;

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Essential Principles of Image Sensors

Providing a succinct introduction to the systemization, noise sources, and signal processes of image sensor technology, Essential;

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Essential Principles of Image Sensors

Providing a succinct introduction to the systemization, noise sources, and signal processes of image sensor technology, Essential;

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Noise Matters The Evolution Of Communica

, and these errors are the key to understanding how noise shapes the evolution of communication. Noise Matters breaks new ground in the;

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Principles of Random Signal Analysis and Low Noise Design

* Describes the leading techniques for analyzing noise.* Discusses methods that are applicable to periodic signals, aperiodic signals, or;

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Signal Processing in Magnetic Resonance Spectroscopy with Biomedical Applications

Uses the FPT to Solve the Quantification Problem in MRS An invaluable tool in non-invasive clinical oncology diagnostics Addressing;

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Signal Processing in Magnetic Resonance Spectroscopy with Biomedical Applications

Uses the FPT to Solve the Quantification Problem in MRS An invaluable tool in non-invasive clinical oncology diagnostics Addressing;

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