Fundamentals of Statistical Signal Processing: Detection Theory, Volume 2
The most comprehensive overview of signal detection available.
This is a thorough, up-to-date introduction to optimizing detection algorithms for implementation on digital computers. It focuses extensively on real-world signal processing applications, including state-of-the-art speech and communications technology as well as traditional sonar/radar systems.
Start with a quick review of the fundamental issues associated with mathematical detection, as well as the most important...
A Wavelet Tour of Signal Processing: The Sparse Way
Mallat's book is the undisputed reference in this field - it is the only one that covers the essential material in such breadth and depth. - Laurent Demanet, Stanford UniversityThe new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the...
Detection, Estimation, and Modulation Theory, Part I (Pt. 1)
- Highly readable paperback reprint of one of the great time-tested classics in the field of signal processing
- Together with the reprint of Part III and the new Part IV, this will be the most complete treatment of the subject available
- As imperative today as it was when it originally published
- Has important applications in radar, sonar, communications, seismology, biomedical engineering, and astronomy
- Includes section summaries, examples, and a large number of problems
Detection, Estimation, and Modulation Theory, Part III: Radar-Sonar Signal Processing and Gaussian Signals in Noise
* Paperback reprint of one of the most respected classics in the history of engineering publication* Together with the reprint of Part I and the new Part IV, this will be the most complete treatment of the subject available* Provides a highly-readable discussion of Signal Processing and Noise* Features numerous problems and illustrations to help promote understanding of the topics* Contents are highly applicable to current systems
Introduction to Digital Filters: with Audio Applications
A digital filter can be pictured as a “black box” that accepts a sequence of numbers and emits a new sequence of numbers. In digital audio signal processing applications, such number sequences usually represent sounds. For example, digital filters are used to implement graphic equalizers and other digital audio effects. This book is a gentle introduction to digital filters, including mathematical theory, illustrative examples, some audio applications, and useful software starting points....
Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory
A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes numerous examples as well as applications to real- world problems. MARKETS: For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals — radar...
Fundamentals of Kalman Filtering (Progress in Aeronautics and Astronautics)
In 2008 the National Academy of Engineering awarded Rudolf Kalman the Charles Stark Draper Prize--the engineering equivalent of the Nobel Prize -- for the development and dissemination of the optimal digital technique (known as the Kalman Filter) that is pervasively used to control a vast array of consumer, health, commercial, and defense products. Fundamentals of Kalman Filtering, Fourth Edition is a practical guide to building Kalman filters that shows how the filtering equations can be...
Adaptive Filter Theory (5th Edition)
Adaptive Filter Theory, 5e, is ideal for courses in Adaptive Filters.
Haykin examines both the mathematical theory behind various linear adaptive filters and the elements of supervised multilayer perceptrons. In its fifth edition, this highly successful book has been updated and refined to stay current with the field and develop concepts in as unified and accessible a manner as possible.
Digital Communications: Fundamentals and Applications (Communications Engineering & Emerging Technology Series from Ted
This is a revised and updated edition of the field's classic, best-selling introduction. With remarkable clarity, Dr. Bernard Sklar introduces every digital communication technology at the heart of today's wireless and Internet revolutions, providing a unified structure and context for understanding them -- all without sacrificing mathematical precision. Throughout, Sklar helps students understand the big picture and delve into the details of current modulation, coding, and signal processing...
Fundamentals of Statistical Signal Processing, Volume 3
The Complete, Modern Guide to Developing Well-Performing Signal Processing Algorithms
In Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development, author Steven M. Kay shows how to convert theories of statistical signal processing estimation and detection into software algorithms that can be implemented on digital computers. This final volume of Kay’s three-volume guide builds on the comprehensive theoretical coverage in the first two volumes. Here,...
Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSK
From personal music players to anti-lock brakes and advanced digital flight controllers, the demand for real-time digital signal processing (DSP) continues to grow. Mastering real-time DSP is one of the most challenging and time-consuming pursuits in the field, exacerbated by the lack of a resource that solidly bridges the gap between theory and practice. Recognizing that there is a better way forward, accomplished experts Welch, Wright, and Morrow offer Real-Time Digital Signal Processing...
Schaum's Outline of Signals and Systems, Fourth Edition
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Tough Test Questions? Missed Lectures? Not Enough Time? Textbook too Pricey?Fortunately, there’s Schaum’s. More than 40 million students have trusted Schaum’s to help them succeed in the classroom and on exams. Schaum’s is the key to faster learning and higher grades in every subject. Each Outline...
Digital Signal Processing: A Gentle Introduction with Audio Examples
This book describes what is meant by a digital signal, how to view, modify, and review signals using DSP. No mathematical background is needed.
Digital Modulations using Matlab: Build Simulation Models from Scratch(Color edition)
Digital Modulations using Matlab is a learner-friendly, practical and example driven book, that gives you a solid background in building simulation models for digital modulation systems in Matlab. This book, an essential guide for understanding the implementation aspects of a digital modulation system, shows how to simulate and model a digital modulation system from scratch.The implemented simulation models shown in this book, mostly will not use any of the inbuilt communication toolbox...
Digital Spectral Analysis: Second Edition (Dover Books on Electrical Engineering)
Digital Spectral Analysis offers a broad perspective of spectral estimation techniques and their implementation. Coverage includes spectral estimation of discrete-time or discrete-space sequences derived by sampling continuous-time or continuous-space signals. The treatment emphasizes the behavior of each spectral estimator for short data records and provides over 40 techniques described and available as implemented MATLAB functions. In addition to summarizing classical spectral estimation,...
Digital Spectral Analysis MATLAB® Software User Guide (Dover Books on Electrical Engineering)
This user guide serves as a companion to Digital Spectral Analysis, Second Edition (Dover Publications, 2019), illustrating all the text's techniques and algorithms, plus time versus frequency analysis. The spectral demonstrations use MATLAB software that encompasses the full experience from inputting signal sources, interactively setting technique parameters and processing with those parameters, and choosing from a variety of plotting techniques to display the results. The processing...
Designing Audio Effect Plugins in C++: For AAX, AU, and VST3 with DSP Theory
Designing Audio Effect Plugins in C++ presents everything you need to know about digital signal processing in an accessible way. Not just another theory-heavy digital signal processing book, nor another dull build-a-generic-database programming book, this book includes fully worked, downloadable code for dozens of professional audio effect plugins and practically presented algorithms.
Sections include the basics of audio signal processing, the anatomy of a plugin, AAX, AU and VST3...
Digital Communications: Fundamentals and Applications (Communications Engineering & Emerging Technology Series from Ted
This is a revised and updated edition of the field's classic, best-selling introduction. With remarkable clarity, Dr. Bernard Sklar introduces every digital communication technology at the heart of today's wireless and Internet revolutions, providing a unified structure and context for understanding them -- all without sacrificing mathematical precision. Throughout, Sklar helps students understand the big picture and delve into the details of current modulation, coding, and signal processing...
Digital and Kalman Filtering: An Introduction to Discrete-Time Filtering and Optimum Linear Estimation, Second Edition (
This text for advanced undergraduates and graduate students provides a concise introduction to increasingly important topics in electrical engineering: digital filtering, filter design, and applications in the form of the Kalman and Wiener filters. The first half focuses on digital filtering, covering FIR and IIR filter design and other concepts. The second half addresses filtering noisy data to extract a signal, with chapters on nonrecursive (FIR Wiener) estimation, recursive (Kalman)...
Statistical Signal Processing in Engineering
A problem-solving approach to statistical signal processing for practicing engineers, technicians, and graduate students
This book takes a pragmatic approach in solving a set of common problems engineers and technicians encounter when processing signals. In writing it, the author drew on his vast theoretical and practical experience in the field to provide a quick-solution manual for technicians and engineers, offering field-tested solutions to most problems engineers can encounter. At the...
