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Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems
Produkt Applied Digital Signal Processing (Manolakis Dimitris G.)(Pevná vazba) má EAN kód 9780521110020.
Kategorie | Knihy |
EAN | 9780521110020 |
Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing
Digital Signal Processing: Fundamentals and Applications, Third Edition, not only introduces students to the fundamental principles of DSP, it also provides a working knowledge that they take with them into their engineering careers. Many instructive, worked examples are used to illustrate the
An informal and easy-to-understand introduction to digital signal processing, this treatment emphasizes digital audio and applications to computer music. Topics include: - Phasors and tuning forks - The wave equation - Sampling and quantizing - Feedforward and feedback filters - Comb and
Combining clear explanations of elementary principles, advanced topics, and applications, with step-by-step mathematical derivations, this textbook provides a comprehensive yet accessible introduction to digital signal processing. All the key topics are covered, including discrete-time Fourier
Starting with fundamental concepts in digital communications, signal processing, andprobability, this book provides practical insights on topics such as timing estimation, carrierrecovery, frame synchronization, equalization, and OFDM in order to enable the reader toultimately implement and
Provides practical coverage of the fundamentals of digital signal processing (DSP). This text also provides insight and guidance on how to use DSP techniques in order to design real engineering systems. It covers a number of DSP techniques, such as adaptive filtering and multirate
A significant revision of a best-selling text for the introductory digital signal processing course.This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer
The ideal review for your digital signal processing course More than 40 million students have trusted Schaum's Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in their respective fields, Schaum's Outlines cover everything from math to science, nursing to
In this book, distinguished international law scholar Dimitris Liakopoulous explores the legal consequences of complicity in international relations. Consequences of Complicity will examine the profiles inherent to damages due to the injured party. In this regard it will move from the observation
Using the latest methods in digital photography and image processing, The Cambridge Photographic Star Atlas presents the whole sky through large-scale photographic images with corresponding charts. Each double-page spread shows a section of the night sky and is accompanied by an inverted chart
The book focuses on autonomous anti ship missiles (ASM) attacking a naval fleet rather than airborne battles. It describes modern DSP algorithms that have been published by ASM development personnel from several nations and elaborates on the mathematical techniques and digital signal processing
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.A comprehensive introduction to the mathematical principles and algorithms in statistical signal processing and
For junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology. Introductory Digital Image Processing: A Remote Sensing Perspective focuses on digital image processing of aircraft- and satellite-derived, remotely sensed data for Earth resource management
DSP is a very math intensive subject and one would require a deep understanding in mathematics to understand various aspects of DSP. Although there are many books which cover DSP extensively, most of them or all of them would require a ton of mathematics to understand even the most fundamental
Covers key developments in the field of electronics and communication engineeringIncludes latest research from field of Computational Signal Processing and AnalysisIncludes contributions from top researchers and
This book provides basic and applied principles of transformer and inductor design for power electronic applications. It includes both fundamental and advanced topics, and offers design guidelines and application examples. Each chapter begins with an introduction to the area, with illustrations and
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This book is a collection of tutorial-like chapters on all core topics of signals and systems and the electronic circuits. All the topics dealt with in the book are parts of the core syllabi of standard programs in Electrical Engineering, Electrical and Computer Engineering, and Electronics and
Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools
Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on
If you understand basic mathematics and know how to program with Python, you're ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they're applied in the real world. In the first