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Using MATLAB (R) provides a comprehensive source of theoretical and practical information on radar signals, signal analysis, and radar signal;
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Signal Processing for Multistatic Radar Systems: Adaptive Waveform Selection, Optimal Geometries and Pseudolinear Tracking Algorithms;
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. Synthetic Aperture Radar Signal Processing with MATLAB Algorithms addresses these recent developments, providing a complete, up-to-date analysis;
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, Fundamentals of Radar Signal Processing, Third Edition has been revised and updated throughout. Readers will find the solid foundations of earlier;
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producing encouraging results. The sparse signal or parameter model motivated several researchers and practitioners to explore high complexity/wide;
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A text and general reference on the design and analysis of radar signals As radar technology evolves to encompass a growing spectrum;
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of three major fields: Digital Signal Processing (DSP); antenna and radar operation; and algorithms used to process the radar images. This book;
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, detection theory, ambiguity functions, waveforms, antennas, active arrays, receivers and signal processors, CFAR and chaff analysis. Readers will be;
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This book provides a full representation of Inverse Synthetic Aperture Radar (ISAR) imagery, which is a popular and important radar signal;
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: Basic Digital Signal Processing gives an introduction to the topic, discussing sampling and quantization, Fourier analysis and synthesis, Z;
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problems such as estimating motion parameters by phase analysis, compensating the phase of a wide-band signal, and processing a wideband signal;
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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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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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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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MATLAB. But software and the ability to use it does not guarantee success. One must also: OE Understand radar operations and design philosophy;
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Learn about the most recent theoretical and practical advances in radar signal processing using tools and techniques from compressive;
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. 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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on the areas of digital spectral analysis, design of FIR filters, pulse compression radar, and speech signal processing. Comprehensively;
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on the areas of digital spectral analysis, design of FIR filters, pulse compression radar, and speech signal processing. Comprehensively;
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Synthetic Aperture Radar Imaging with MATLAB Algorithms covers in greater detail the fundamental and advanced topics necessary for a complete;
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developed MATLAB examples throughout the text illustrate the mathematical concepts and use of digital signal processing algorithms. An abundance;
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complex exponential as a function of real and imaginary part. 4 To determine impulse and step response of two vectors using MATLAB. 5 To perform;
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theoretical background with high-resolution methods used in wireless communications, brain signal analysis, and space-time radar signal processing;
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Learn to use MATLAB as a useful computing tool for exploring traditional Digital Signal Processing (DSP) topics and solving problems to;
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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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