Digital Signal Processing (DSP) with Python Programming

Author: Maurice Charbit

Publisher: John Wiley & Sons

ISBN: 1786301261

Category: Technology & Engineering

Page: 290

View: 4298

The parameter estimation and hypothesis testing are the basic tools in statistical inference. These techniques occur in many applications of data processing., and methods of Monte Carlo have become an essential tool to assess performance. For pedagogical purposes the book includes several computational problems and exercices. To prevent students from getting stuck on exercises, detailed corrections are provided.

Think DSP

Digital Signal Processing in Python

Author: Allen B. Downey

Publisher: "O'Reilly Media, Inc."

ISBN: 1491938528

Category: Computers

Page: 168

View: 9654

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, you’ll be able to decompose a sound into its harmonics, modify the harmonics, and generate new sounds. Author Allen Downey explains techniques such as spectral decomposition, filtering, convolution, and the Fast Fourier Transform. This book also provides exercises and code examples to help you understand the material. You’ll explore: Periodic signals and their spectrums Harmonic structure of simple waveforms Chirps and other sounds whose spectrum changes over time Noise signals and natural sources of noise The autocorrelation function for estimating pitch The discrete cosine transform (DCT) for compression The Fast Fourier Transform for spectral analysis Relating operations in time to filters in the frequency domain Linear time-invariant (LTI) system theory Amplitude modulation (AM) used in radio Other books in this series include Think Stats and Think Bayes, also by Allen Downey.

Python for Signal Processing

Featuring IPython Notebooks

Author: José Unpingco

Publisher: Springer Science & Business Media

ISBN: 3319013424

Category: Technology & Engineering

Page: 128

View: 1823

This book covers the fundamental concepts in signal processing illustrated with Python code and made available via IPython Notebooks, which are live, interactive, browser-based documents that allow one to change parameters, redraw plots, and tinker with the ideas presented in the text. Everything in the text is computable in this format and thereby invites readers to “experiment and learn” as they read. The book focuses on the core, fundamental principles of signal processing. The code corresponding to this book uses the core functionality of the scientific Python toolchain that should remain unchanged into the foreseeable future. For those looking to migrate their signal processing codes to Python, this book illustrates the key signal and plotting modules that can ease this transition. For those already comfortable with the scientific Python toolchain, this book illustrates the fundamental concepts in signal processing and provides a gateway to further signal processing concepts.

Practical DSP modeling, techniques, and programming in C

Author: Don Morgan

Publisher: John Wiley & Sons Inc


Category: Computers

Page: 442

View: 7342

This book serves as a bridge between DSP theory and real-world applications. It provides scientific or engineering programmers with the ability to use this exciting technology without requiring a thorough theoretical or highly mathematical background.

C++ Algorithms for Digital Signal Processing

Author: Paul Embree,Damon Danieli

Publisher: Pearson Education

ISBN: 0132442051

Category: Technology & Engineering

Page: 608

View: 696

Bring the power and flexibility of C++ to all your DSP applications The multimedia revolution has created hundreds of new uses for Digital Signal Processing, but most software guides have continued to focus on outdated languages such as FORTRAN and Pascal for managing new applications. Now C++ Algorithms for Digital Signal Processing applies object-oriented techniques to this growing field with software you can implement on your desktop PC. C++ Algorithms for Digital Signal Processing's programming methods can be used for applications as diverse as: Digital audio and video Speech and image processing Digital communications Radar, sonar, and ultrasound signal processing Complete coverage is provided, including: Overviews of DSP and C++ Hands-on study with dozens of exercises Extensive library of customizable source code Import and Export of Microsoft WAV and Matlab data files Multimedia professionals, managers, and even advanced hobbyists will appreciate C++ Algorithms for Digital Signal Processing as much as students, engineers, and programmers. It's the ideal bridge between programming and signal processing, and a valuable reference for experts in either field. Source code for all of the DSP programs and DSP data associated with the examples discussed in this book and Appendix B and the file README.TXT which provide more information about how to compile and run the programs can be downloaded from

The Audio Programming Book

Author: Richard Boulanger,Victor Lazzarini,Max Mathews

Publisher: MIT Press

ISBN: 0262288605

Category: Music

Page: 920

View: 3595

This comprehensive handbook of mathematical and programming techniques for audio signal processing will be an essential reference for all computer musicians, computer scientists, engineers, and anyone interested in audio. Designed to be used by readers with varying levels of programming expertise, it not only provides the foundations for music and audio development but also tackles issues that sometimes remain mysterious even to experienced software designers. Exercises and copious examples (all cross-platform and based on free or open source software) make the book ideal for classroom use. Fifteen chapters and eight appendixes cover such topics as programming basics for C and C++ (with music-oriented examples), audio programming basics and more advanced topics, spectral audio programming; programming Csound opcodes, and algorithmic synthesis and music programming. Appendixes cover topics in compiling, audio and MIDI, computing, and math. An accompanying DVD provides an additional 40 chapters, covering musical and audio programs with micro-controllers, alternate MIDI controllers, video controllers, developing Apple Audio Unit plug-ins from Csound opcodes, and audio programming for the iPhone.The sections and chapters of the book are arranged progressively and topics can be followed from chapter to chapter and from section to section. At the same time, each section can stand alone as a self-contained unit. Readers will find The Audio Programming Book a trustworthy companion on their journey through making music and programming audio on modern computers.

Digital Signal Processing

A Practical Guide for Engineers and Scientists

Author: Steven W. Smith

Publisher: Newnes

ISBN: 9780750674447

Category: Computers

Page: 650

View: 6585

Designed for engineers and scientists in a wide variety of fields, this practical text aims to explain DSP techniques while avoiding the barriers of abstract theory and detailed mathematics, enabling readers to put the powerful tools of DSP to work in their research and designs.

Programs for digital signal processing

Author: IEEE Acoustics, Speech, and Signal Processing Society. Digital Signal Processing Committee

Publisher: N.A


Category: Technology & Engineering

Page: 600

View: 444


Practical Digital Signal Processing

Author: Edmund Lai

Publisher: Elsevier

ISBN: 9780080473840

Category: Technology & Engineering

Page: 304

View: 1584

The aim of this book is to introduce the general area of Digital Signal Processing from a practical point of view with a working minimum of mathematics. The emphasis is placed on the practical applications of DSP: implementation issues, tricks and pitfalls. Intuitive explanations and appropriate examples are used to develop a fundamental understanding of DSP theory, laying a firm foundation for the reader to pursue the matter further. The reader will develop a clear understanding of DSP technology in a variety of fields from process control to communications. * Covers the use of DSP in different engineering sectors, from communications to process control * Ideal for a wide audience wanting to take advantage of the strong movement towards digital signal processing techniques in the engineering world * Includes numerous practical exercises and diagrams covering many of the fundamental aspects of digital signal processing

Real-Time Digital Signal Processing

Fundamentals, Implementations and Applications

Author: Sen M. Kuo,Bob H. Lee,Wenshun Tian

Publisher: John Wiley & Sons

ISBN: 1118706684

Category: Technology & Engineering

Page: 568

View: 4827

Combines both the DSP principles and real-time implementations and applications, and now updated with the new eZdsp USB Stick, which is very low cost, portable and widely employed at many DSP labs. Real-Time Digital Signal Processing introduces fundamental digital signal processing (DSP) principles and will be updated to include the latest DSP applications, introduce new software development tools and adjust the software design process to reflect the latest advances in the field. In the 3rd edition of the book, the key aspect of hands-on experiments will be enhanced to make the DSP principles more interesting and directly interact with the real-world applications. All of the programs will be carefully updated using the most recent version of software development tools and the new TMS320VC5505 eZdsp USB Stick for real-time experiments. Due to its lower cost and portability, the new software and hardware tools are now widely used in university labs and in commercial industrial companies to replace the older and more expensive generation. The new edition will have a renewed focus on real-time applications and will offer step-by-step hands-on experiments for a complete design cycle starting from floating-point C language program to fixed-point C implementation, code optimization using INTRINSICS, and mixed C-and-assembly programming on fixed-point DSP processors. This new methodology enables readers to concentrate on learning DSP fundamentals and innovative applications by relaxing the intensive programming efforts, namely, the traditional DSP assembly coding efforts. The book is organized into two parts; Part One introduces the digital signal processing principles and theories, and Part Two focuses on practical applications. The topics for the applications are the extensions of the theories in Part One with an emphasis placed on the hands-on experiments, systematic design and implementation approaches. The applications provided in the book are carefully chosen to reflect current advances of DSP that are of most relevance for the intended readership. Combines both the DSP principles and real-time implementations and applications using the new eZdsp USB Stick, which is very low cost, portable and widely employed at many DSP labs is now used in the new edition Places renewed emphasis on C-code experiments and reduces the exercises using assembly coding; effective use of C programming, fixed-point C code and INTRINSICS will become the main focus of the new edition. Updates to application areas to reflect latest advances such as speech coding techniques used for next generation networks (NGN), audio coding with surrounding sound, wideband speech codec (ITU G.722.2 Standard), fingerprint for image processing, and biomedical signal processing examples. Contains new addition of several projects that can be used as semester projects; as well as new many new real-time experiments using TI’s binary libraries – the experiments are prepared with flexible interface and modular for readers to adapt and modify to create other useful applications from the provided basic programs. Consists of more MATLAB experiments, such as filter design, algorithm evaluation, proto-typing for C-code architecture, and simulations to aid readers to learn DSP fundamentals. Includes supplementary material of program and data files for examples, applications, and experiments hosted on a companion website. A valuable resource for Postgraduate students enrolled on DSP courses focused on DSP implementation & applications as well as Senior undergraduates studying DSP; engineers and programmers who need to learn and use DSP principles and development tools for their projects.


Author: Jonathan (y) Stein

Publisher: N.A

ISBN: 9788126522187


Page: 880

View: 9996

Market_Desc: Students of EE and Computer Science as well as Professional Engineers and Computer Scientists. Special Features: · This book provides a basic understanding of the theory of DSP and covers the fundamental algorithms and structures used in DSP computation. This allows the reader to correctly design and efficiently code DSP applications in a high level language.· Explains the principles of DSP and the differences between them and conventional CPUs.· Reviews the background and special algorithms used in several important areas of state-of-the-art DSP research and development. About The Book: The field of digital signal processing is growing because there are ever new applications in such areas as telecommunications, imaging, biomedical engineering and oil exploration among others. Although the author has targeted mainly computer science majors, the book will be suitable for electrical engineering students and practicing engineers and computer scientists. At the same time there are presently no books available which target computer science, which is an area that is getting increasingly involved in DSP.

Digital Signal Processing

An Experimental Approach

Author: Shlomo Engelberg

Publisher: Springer Science & Business Media

ISBN: 1848001193

Category: Technology & Engineering

Page: 212

View: 1835

A mathematically rigorous but accessible treatment of digital signal processing that intertwines basic theoretical techniques with hands-on laboratory instruction is provided by this book. The book covers various aspects of the digital signal processing (DSP) "problem". It begins with the analysis of discrete-time signals and explains sampling and the use of the discrete and fast Fourier transforms. The second part of the book — covering digital to analog and analog to digital conversion — provides a practical interlude in the mathematical content before Part III lays out a careful development of the Z-transform and the design and analysis of digital filters.

Signals and Systems For Dummies

Author: Mark Wickert

Publisher: John Wiley & Sons

ISBN: 1118475666

Category: Technology & Engineering

Page: 384

View: 8121

Getting mixed signals in your signals and systems course? The concepts covered in a typical signals and systems course are often considered by engineering students to be some of the most difficult to master. Thankfully, Signals & Systems For Dummies is your intuitive guide to this tricky course, walking you step-by-step through some of the more complex theories and mathematical formulas in a way that is easy to understand. From Laplace Transforms to Fourier Analyses, Signals & Systems For Dummies explains in plain English the difficult concepts that can trip you up. Perfect as a study aid or to complement your classroom texts, this friendly, hands-on guide makes it easy to figure out the fundamentals of signal and system analysis. Serves as a useful tool for electrical and computer engineering students looking to grasp signal and system analysis Provides helpful explanations of complex concepts and techniques related to signals and systems Includes worked-through examples of real-world applications using Python, an open-source software tool, as well as a custom function module written for the book Brings you up-to-speed on the concepts and formulas you need to know Signals & Systems For Dummies is your ticket to scoring high in your introductory signals and systems course.

Mixed-signal and DSP Design Techniques

Author: Walt Kester,Analog Devices, inc

Publisher: Newnes

ISBN: 9780750676113

Category: Education

Page: 410

View: 4531

This guide focuses primarily on signal processing hardware--how it works, how to interface to it, and how to design it and debug it. Readers are 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.

Think Complexity

Complexity Science and Computational Modeling

Author: Allen Downey

Publisher: "O'Reilly Media, Inc."

ISBN: 1449314635

Category: Computers

Page: 142

View: 5679

Enhances Python skills by working with data structures and algorithms and gives examples of complex systems using exercises, case studies, and simple explanations.

Signal Processing for Communications

Author: Paolo Prandoni,Martin Vetterli

Publisher: Collection le savoir suisse

ISBN: 2940222207

Category: Signal processing

Page: 394

View: 539

With a novel, less classical approach to the subject, the authors have written a book with the conviction that signal processing should be taught to be fun. The treatment is therefore less focused on the mathematics and more on the conceptual aspects, the idea being to allow the readers to think about the subject at a higher conceptual level, thus building the foundations for more advanced topics. The book remains an engineering text, with the goal of helping students solve real-world problems. In this vein, the last chapter pulls together the individual topics as discussed throughout the book into an in-depth look at the development of an end-to-end communication system, namely, a modem for communicating digital information over an analog channel.