Multirate Signal Processing with Examples in Python
Multirate Signal Processing with Examples in Python focuses on the theory and practice of handling signals at multiple sample rates, a key technique behind resampling, efficient filtering, and FFT-based DSP systems. With Python examples, it is likely to bridge mathematical concepts with hands-on implementation for audio, communications, and other real-world signal-processing workflows.
Signals & Systems
Signals & Systems by Alan V. Oppenheim, Alan S. Willsky. Used for a class like Linear 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....
Designing Software and Cognitive Radios (Wiley Series in Telecommunications and Signal Processing)
Designing Software and Cognitive Radios by Jeffrey H. Reed is a telecommunications and signal-processing reference focused on building flexible radio systems in software. It covers the principles behind software-defined radio and cognitive radio architectures, where DSP, modulation, filtering, and spectrum-aware decision-making come together in modern wireless systems.
Linear Systems and Signals, 2nd Edition
Incorporating new problems and examples, the second edition of Linear Systems and Signals features MATLAB® material in each chapter and at the back of the book. It gives clear descriptions of linear systems and uses mathematics not only to prove axiomatic theory, but also to enhance physical and intuitive understanding.
Contemporary Communications System Using Matlab and Simulink
Featuring a variety of applications that motivate students, this book serves as a companion or supplement to any of the comprehensive textbooks in communication systems. The book provides a variety of exercises that may be solved on the computer using MATLAB„µ (The authors assume that the student is familiar with the fundamentals of MATLAB). By design, the treatment of the various topics is brief. The authors provide the motivation and a short introduction to each topic, establish the...
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,...
Kalman Filter: Introduction to State Estimation and Its Application for Embedded Systems
This book introduces Kalman filtering as a practical state-estimation method, with a particular focus on embedded systems. It likely covers the core theory behind recursive estimation and shows how to apply it to real-world DSP problems such as tracking, sensor fusion, and dynamic signal analysis.
Digital Signal Processing with Student CD ROM
Based on Sanjit Mitra’s extensive teaching and research experience, Digital Signal Processing, A Computer Based Approach, fourth edition, is written with the reader in mind. A key feature of this book is the extensive use of MATLAB-based examples that illustrate the program's powerful capability to solve signal processing problems. The book is intended for a course on digital signal processing for seniors or first-year graduate students. This highly popular book introduces the tools used...
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...
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...
Explorations in Time-Frequency Analysis
An authoritative exposition of the methods at the heart of modern non-stationary signal processing from a recognised leader in the field. Offering a global view that favours interpretations and historical perspectives, it explores the basic concepts of time-frequency analysis, and examines the most recent results and developments in the field in the context of existing, lesser-known approaches. Several example waveform families from bioacoustics, mathematics and physics are examined in...
