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Digital Signal Processing Using MATLAB for Students and Researchers
Digital Signal Processing Using MATLAB for Students and Researchers
I was once asked what signal processing is. The questioner thought it had something to do with traffi c lights. It became clear to me at that moment that although the theory and practice of signal processing in an engineering context has made possible the massive advances of recent times in everything from consumer electronics to...
Embedded Signal Processing with the Micro Signal Architecture
Embedded Signal Processing with the Micro Signal Architecture
Embedded systems are usually part of larger and complex systems and are usually implemented on dedicated hardware with associated software to form a computational engine that will effi ciently perform a specifi c function. The dedicated hardware (or embedded processor) with the associated software is embedded into many...
Digital Alias-free Signal Processing
Digital Alias-free Signal Processing
The rationale of replacing signal analog processing by digital, worth doing whenever it is feasible, is well known. The benefits that can be obtained are usually significant. Digital signal processing (DSP) technology is widely used in the application range characterized by relatively low frequencies and other acceptable...
Wireless Receiver Design for Digital Communications
Wireless Receiver Design for Digital Communications
There have been two paradigm shifts since we wrote the first edition of this book. The first major shift is that the world is now full of digital signals. Commercial television and radio have changed from analog to digital formats. Cellular telephone signals are digital, and even video baby monitors transmit digital signals....
Embedded Systems: Hardware, Design and Implementation
Embedded Systems: Hardware, Design and Implementation

Covers the significant embedded computing technologies—highlighting their applications in wireless communication and computing power

An embedded system is a computer system designed for specific control functions within a larger system—often with real-time computing constraints. It is embedded as part of a...

Computer Vision Metrics: Survey, Taxonomy, and Analysis
Computer Vision Metrics: Survey, Taxonomy, and Analysis

Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors...

Inventors at Work: The Minds and Motivation Behind Modern Inventions
Inventors at Work: The Minds and Motivation Behind Modern Inventions

Inventors at Work: The Minds and Motivation Behind Modern Inventions is a collection of interviews with inventors of famous products, innovations, and technologies that have made life easier or even changed the way we live. All of these scientists, engineers, wild-eyed geniuses, and amateur technologists have dedicated their...

Applied Digital Signal Processing: Theory and Practice
Applied Digital Signal Processing: Theory and Practice

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...

Think DSP: Digital Signal Processing in Python
Think DSP: Digital Signal Processing in Python

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 chapter alone,...

Digital Signal Processing Using MATLAB
Digital Signal Processing Using MATLAB

This book uses MATLAB as a computing tool to explore traditional DSP topics and solve problems. This greatly expands the range and complexity of problems that students can effectively study in signal processing courses. A large number of worked examples, computer simulations and applications are provided, along with theoretical aspects that...

Digital Signal Processing: An Introduction with MATLAB and Applications
Digital Signal Processing: An Introduction with MATLAB and Applications

In three parts, this book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing. Part I presents the basics of analog and digital signals and systems in the time and frequency domain. It covers the core topics: convolution, transforms, filters, and random signal analysis....

Interleaving Concepts for Digital-to-Analog Converters: Algorithms, Models, Simulations and Experiments
Interleaving Concepts for Digital-to-Analog Converters: Algorithms, Models, Simulations and Experiments

Modern complementary metal oxide semiconductor (CMOS) digital-to-analog converters (DACs) are limited in their bandwidth due to technological constraints. These limitations can be overcome by parallel DAC architectures, which are called interleaving concepts. Christian Schmidt analyzes the limitations and the potential of two...

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