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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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Advanced Signal Processing Handbook

Advances in digital signal processing algorithms and computer technology have combined to produce real-time systems with capabilities far;

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Modern Digital Signal Processing

information science, this text will also be useful for advanced digital signal processing and real time digital signal processing courses for;

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Digital Signal Processing Algorithms

Digital Signal Processing Algorithms describes computational number theory and its applications to deriving fast algorithms for digital;

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Digital Signal Processors

For senior/graduate courses in Digital Signal Processing. This text offers students a hands-on approach to understanding architecture and;

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Machine Intelligence and Signal Processing

in the fields of machine learning, big data analytics, signal processing, computational learning theory, and their real-time applications. The;

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Digital Signal Processing with Kernel Methods

A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to;

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Digital Signal Processing in Communications Systems

An engineer's introduction to concepts, algorithms, and advancements in Digital Signal Processing. This lucidly written resource makes;

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Time-Frequency Signal Analysis and Processing

Time-Frequency Signal Analysis and Processing (TFSAP) is a collection of theory, techniques and algorithms used for the analysis and;

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Nonlinear Biomedical Signal Processing, Volume 1

For the first time, eleven experts in the fields of signal processing and biomedical engineering have contributed to an edition on the;

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Implementation of Signal Processing Algorithms on an FPOA

Digital Signal Processing (DSP) is one of the most powerful technologies nowadays. It is the study of signals and their representation and;

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Handbook of Neural Network Signal Processing

, especially in nonlinear, real-time, adaptive, and blind signal processing. The Handbook of Neural Network Signal Processing brings together;

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Real-Time Digital Signal Processing

Digital Signal Processing has undergone enormous growth in usage/implementation in the last 20 years and many engineering schools are now;

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Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications

signal processing algorithms and to simulate real-time systems. Readers learn how to convert analog signals into digital signals; how to process;

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Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications

signal processing algorithms and to simulate real-time systems. Readers learn how to convert analog signals into digital signals; how to process;

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Signal Processing in Radar Systems

An essential task in radar systems is to find an appropriate solution to the problems related to robust signal processing and the;

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Signal Processing in Radar Systems

An essential task in radar systems is to find an appropriate solution to the problems related to robust signal processing and the;

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Computer Techniques and Algorithms in Digital Signal Processing

Covers advances in the field of computer techniques and algorithms in digital signal processing. ;

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Digital Signal Processing Using MATLAB for Students and Researchers

of exercises help to put knowledge into practice by solving real-world signal processing challenges. Upon completion of this text, readers will;

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Time-Frequency Domain for Segmentation and Classification of Non-stationary Signals

This book focuses on signal processing algorithms based on the timefrequency domain. Original methods and algorithms are presented which;

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Tracking Differentiator Algorithms

systems and signal processing, as well as feedback control in maglev train.The proposed TD solution and its successful real-life applications;

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Digital Signal Processing

Digital signal processing (DSP) has been applied to a very wide range of applications. This includes voice processing, image processing;

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Advances in Heuristic Signal Processing and Applications

There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and;

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Synthetic Aperture Radar Signal Processing with MATLAB Algorithms

Provides practical examples and results from real SAR, ISAR, and CSAR databases Outlines unique properties of the SAR signal that cannot be found;

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Seismic Data Interpretation using Digital Image Processing

of theories, concepts, and algorithms are followed by synthetic and real data examples to provide the reader with a practical understanding of the;

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A Unified Signal Algebra Approach to Two-Dimensional Parallel Digital Signal Processing

Aims to bridge the gap between parallel computer architectures and the creation of parallel digital signal processing (DSP) algorithms;

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Practical Signal Processing

of digital signal processing, with emphasis on real-world applications. Sampling, quantization, the Fourier transform, filters, Bayesian methods and;

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