Digital Signal Processing (DSP), Sound and Imaging Processing

This book tries to link between the analog and digital signal processing domains. Begins by explaining the fundamental concepts in analog signal processing and then progresses towards the digital signal processing.

Written by a working scientist/engineer who has used DSP in his inventions and designs, Digital Signal Processing 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.

This book aims to provide a comprehensive guide to digital signal processing, combining both theory and practical applications, focuses on practical implementation of digital signal processing algorithms using Python, Matlab or Octave programming languages.

This textbook provides a comprehensive introduction to signals and systems, covering both continuous-time and discrete-time domains. The text explores Fourier analysis in depth, including Fourier series and transforms for periodic and aperiodic signals, and examines their properties and applications in signal representation.

Engineering applications of signals and systems are integrated into the presentation as equal partners with concepts and mathematical models, instead of just presenting the concepts and models and leaving the student to wonder how it all relates to engineering.

This is an introductory textbook on the analysis of signals in time and frequency. It takes an engineer’s perspective and discusses how to characterize, analyze and operate on signals. The basic theoretical concepts, Fourier series and transform, are explained in continuous time.

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. Although more and more examples of such applications can be found in literature, they are scattered, apart from a few exceptions, in proceedings and journals dedicated to more general topics. This book is the first attempt to offer a panoramic view on the field, by describing applications of most mainstream GEC techniques to a wide range of problems in image processing and analysis.

This e-course 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. At the end of this e-course, students will learn the signal processing algorithms and techniques in image enhancement. They will be able to conduct independent study and analysis of image processing problems and techniques.

This book provides a stable, well-supported software environment for addressing a broad range of applications in digital image processing, offers a balanced treatment of image processing fundamentals and the software principles used in their implementation.

This open access book delves into the fundamental principles and cutting-edge techniques of plenoptic imaging and processing. Derived from the Latin words "plenus" (meaning "full") and "optic," plenoptic imaging offers a transformative approach to optical imaging. Unlike conventional systems that rely solely on the pinhole camera model to capture spatial information, plenoptic imaging aims to detect and reconstruct multidimensional and multiscale information from light rays in space.

This book aims at undergraduate students who have basic knowledge in C programming, Circuit Theory, Systems and Simulations, and Spectral Analysis. The book is focused on basic concepts of digital signal processing, MATLAB simulation and implementation on selected DSP hardware in which the candidate is introduced to the basic concepts first before embarking to the practical part which comes in the later chapters.

A recurring technical task in the development of digital signal processing products and systems is the design of finite-impulse-response (FIR) digital filters. Fortunately some excellent software packages exist for the automatic synthesis of impulse responses for such filters, many of them based on the now-famous Parks-McClellan algorithm.

The purpose of this book is to provide you with different theorethical and practical approaches to digital filter design. The book 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. Intuitive explanations and numerous examples contained herein will help you to devolope your understanding of these methods and test your knowledge on concrete issues.

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?

This textbook acts as a hands-on introduction to the areas of Digital Signal Processing (DSP), Software-Defined Radio (SDR), and wireless communications. Think of this textbook like a gateway into the world of DSP and SDR.