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Links to Free Computer, Mathematics, Technical Books all over the World



The Scientist and Engineer's Guide to Digital Signal Processing
Written by a working scientist/engineer who has used DSP in his inventions and designs, this book will help design engineers on the job trying to master a tough subject that is now regarded as an essential engineering skill and put it to use.

Signal Processing: A Mathematical Approach (Charles L. Byrne)
This book is designed to show how many of the mathematical tools the reader knows can be used to understand and employ signal processing techniques in an applied environment, with Fourier series, matrices, probability, and statistics, etc.

Structure and Interpretation of Signals and Systems
This book introduces the mathematical models used to design and understand both Signals and Systems. Developing a deep understanding of how to digitally create and manipulate signals to measure and control the physical world and communication.

Signal Computing: Digital Signals in the Software Domain
Digital signals place great demands on processing power, network bandwidth, storage capacity, I/O speed, and software design. As a result, signal computing is a great laboratory for exercising the full range of knowledge of computer science.

Foundations of Signal Processing (Martin Vetterli, et al)
This comprehensive and engaging textbook introduces the basic principles and techniques of signal processing, from the fundamental ideas of signals and systems theory to realworld applications.

Kalman and Bayesian Filters in Python (Roger R Labbe Jr.)
This book is an introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Juptyer Notebook so that you can run and modify the code in your browser. What better way to learn?

Window Functions and Their Applications in Signal Processing
This book presents an exhaustive and detailed account of Window Functions and their applications in signal processing, focusing on the areas of digital spectral analysis, design of FIR filters, pulse compression radar, and speech signal processing.

O'Reilly® Think DSP: Digital Signal Processing in Python
This book is an introduction to signal processing and system analysis using a computational approach with Python as the programming language. It develops the important ideas incrementally, with a focus on applications.

Fourier and Wavelet Signal Processing (Martin Vetterli, et al)
This book, together with its predecessor Foundations of Signal Processing, presents a thorough introduction to the mathematical foundations of signal and image processing using Fourier and Wavelet Transforms.

Physical Audio Signal Processing (Julius O. Smith III)
This book was developed for the course "Signal Processing Models in Musical Acoustics". The course was created for graduate students in computer music and engineering interested in efficient computational modeling of musical instruments.

Design and Architectures for Digital Signal Processing
Conceived to be available to a wide audience, the aim of this book is to provide a guide to the latest advances in emerging issues in the design and implementation of DSP systems for applicationspecific circuits and programmable devices.

Bayesian Spectrum Analysis and Parameter Estimation
This work is primarily on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis; consequently.

Digital Filters and Signal Processing (Fausto Maarquez, et al)
Presents advanced developments in digital filters and signal process methods covering different cases studies with the main essence of the subject, with the principal approaches to the most recent mathematical models that are being employed widely.

Programming Computer Vision: Algorithms for Analyzing Images
This book is a handson introduction to computer vision using Python. It gives an easily accessible entry point to handson computer vision with enough understanding of the underlying theory and algorithms to be a foundation for students, researchers.

Fourier Transform  Signal Processing (Salih Mohammed Salih)
Almost all textbooks on signal processing have a section devoted to the Fourier transform theory. For this reason, this book focuses on the Fourier transform applications in signal processing techniques.

Wireless Communications: Signal Processing Perspectives
Describes the latest research in applying signal processing methodologies in the context of emerging and future wireless applications, such as nextgeneration cellular telephony, nomadic computing, and wireless media.

A First Course on Time Series Analysis with SAS (Michael Falk, et al)
A unique feature of this book is its integration with the statistical software package SAS (Statistical Analysis System) computing environment. Basic applied statistics is assumed through multiple regression.

Biological Signal Analysis with MATLAB (Ramaswamy Palaniappan)
It provides an understanding of biological signals and digital signal analysis techniques such as conditioning, filtering, feature extraction, classification and statistical validation for solving practical biological signal analysis problems using MATLAB.

Introduction to Statistical Signal Processing (Robert M. Gray, et al)
This book describes the essential tools and techniques of statistical signal processing, with specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, etc.

Modern Signal Processing (Daniel N. Rockmore, et al)
Signal processing is ubiquitous in modern technology. Its mathematical basis and applications are the subject of this book. Emphasis is on challenges, new techniques adapted to new technologies, and certainrecent advances in algorithms and theory.

Digital Image Processing (Gholamreza Anbarjafari)
This ecourse is designed to give the people who are interested in image processing the fundamental concepts in digital image processing with emphasis in sampling, quantization, interpolation, filtering, and spatial domain enhancement.

Image Processing in C, 2nd Edition (Dwayne Philipps)
This book is a tutorial on image processing. Each chapter explains basic concepts with words and figures, shows image processing results with photographs, and implements the operations in C.

Digital Filter Design (Zoran Milivojevic)
Provide you with different theorethical and practical approaches to digital filter design. It covers design of both finite and infinite impulse response filters. In addition, it applies the most popular and most commonly used design methodes giving the best solutions.

Notes on the Design of Optimal FIR Filters (John Treichler)
This note primarily addresses how to estimate impulse response lengths short of actually designing the filter itself and indirectly discusses a bit the first. It examines how to convert a typical filter specification in terms of cutoff frequency, passband ripple, etc.

Signal Processing for Communications (Paolo Prandoni, et al)
Taking a novel, less classical approach to the subject, the authors have written this book with the conviction that signal processing should be fun. Their treatment is less focused on the mathematics and more on the conceptual aspects.

Mixed Signal and DSP Design Techniques (Walt Kester, et al)
Mixedsignal processing implies the use of both analog and digital in the same system. The reader is provided with information on how to choose between the techniques and how to design a system that takes advantage of the best features of each of them.

Introduction to Digital Filters: with Audio Applications (J. Smith III)
A digital filter can be pictured as a "black box" that accepts a sequence of numbers and emits a new sequence of numbers. This book is a gentle introduction to digital filters, including mathematical theory, illustrative examples, some audio applications, and useful software starting points.

Networking Services: QoS, Signaling, Processes (Harry Perros)
This book has been structured around the Next Generation Network (NGN) framework, which separates the transport network, services, and signaling protocols into the service stratum and the transport stratum.

Discrete Fourier Transform (DFT): with Audio Applications
Detailed derivation of the Discrete Fourier Transform (DFT) and its associated mathematics, including elementary audio signal processing applications and matlab programming examples.

Fast Fourier Transforms (C. Sidney Burrus, et al)
This book focuses on the Discrete Fourier Transform (DFT), discrete convolution, and, particularly, the fast algorithms to calculate them. Topics on digital signal processing since its beginning, and new results in hardware, theory and applications, etc.

Genetic and Evolutionary Computation for Image Processing
Image analysis and processing is steadily gaining relevance within the large number of application fields to which genetic and evolutionary computation (GEC) techniques are applied. This book is the first attempt to offer a panoramic view on the field.

The Data Conversion Handbook (Walt Kester)
This book is a onestop engineering reference. Covering data converter fundamentals, techniques, applications, and beginning with the basic theoretical elements necessary for a complete understanding of data converters, this reference covers all the latest advances.

Optimum Signal Processing (Sophocles Orfanidis)
This is an outstanding and often overlooked book on optimal signal processing. The author does an excellent job relating the filtering problem to optimization in linear spaces and then shows how this is related to the optimal correlation canceller.

Introduction to Sound Processing (Davide Rocchesso)
Sound manipulation is an activity that find an increasing number of practitioners in the fields of artistic expression, technology, and science. This book is aimed at providing such language and mathematical, algorithmic, and computational tools.

Spectral Audio Signal Processing (Julius O. Smith III)
One can say that human hearing occurs in terms of spectral models. As a result, spectral models are especially useful in audio applications. This is the basis of modern audio compression techniques. The chapters are organized in a progression from basic spectrum analysis to more advanced frequencydomain signal processing.

Natural Image Statistics in Digital Image Forensics (Siwei Lyu)
This book provides the first general framework, based on universal statistical properties of natural images, of detecting tampering and authenticating digital images that has been successfully applied to three problems in digital image forensics.

PIC Microcontrollers  Programming in C (Milan Verle)
This book has provided a stepbystep guide to programming these microcontrollers (MCUs) with the C programming language.

PIC Microcontrollers  Programming in BASIC (Milan Verle)
This book will help you learn more about programming PIC microcontrollers in BASIC with practical, commonsense instructions, real projects, etc.

Programming dsPIC Microcontroller in PASCAL (Zoran Milivojevic)
The book provides numerous practical examples with necessary connection schematics explaining the operation of temperature sensors, A/D and D/A converters, LCD and LED displays, relays, communication modules etc.
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