Think DSP

Think DSP PDF Author: Allen B. Downey
Publisher: "O'Reilly Media, Inc."
ISBN: 149193851X
Category : Technology & Engineering
Languages : en
Pages : 172

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Book Description
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.

Think DSP

Think DSP PDF Author: Allen B. Downey
Publisher: "O'Reilly Media, Inc."
ISBN: 149193851X
Category : Technology & Engineering
Languages : en
Pages : 172

Get Book Here

Book Description
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.

Mathematical Methods and Algorithms for Signal Processing

Mathematical Methods and Algorithms for Signal Processing PDF Author: Todd K. Moon
Publisher:
ISBN: 9788129709769
Category : Algorithms
Languages : en
Pages : 937

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Book Description


Symmetrical Analysis Techniques for Genetic Systems and Bioinformatics: Advanced Patterns and Applications

Symmetrical Analysis Techniques for Genetic Systems and Bioinformatics: Advanced Patterns and Applications PDF Author: Petoukhov, Sergey
Publisher: IGI Global
ISBN: 1605661252
Category : Computers
Languages : en
Pages : 289

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Book Description
"This book compiles studies that demonstrate effective approaches to the structural analysis of genetic systems and bioinformatics"--Provided by publisher.

Signal and Information Processing, Networking and Computers

Signal and Information Processing, Networking and Computers PDF Author: Yue Wang
Publisher: Springer Nature
ISBN: 9811999686
Category : Technology & Engineering
Languages : en
Pages : 1257

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Book Description
This book collects selected papers from the 10th Conference on Signal and Information Processing, Networking and Computers held in Xi’Ning, China held in July, 2022. The book focuses on the current works of information theory, communication system, computer science, aerospace technologies and big data and other related technologies. People from both academia and industry of this field can contribute and find their interests from the book.

Principles of Signals and Systems

Principles of Signals and Systems PDF Author: Orhan Gazi
Publisher: Springer Nature
ISBN: 3031177894
Category : Technology & Engineering
Languages : en
Pages : 376

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Book Description
The textbook presents basic concepts of signals and systems in a clear manner, based on the author’s 15+ years of teaching the undergraduate course for engineering students. To attain full benefit from the content, readers should have a strong knowledge of calculus and be familiar with integration, differentiation, and summation operations. The book starts with an introduction to signals and systems and continues with coverage of basic signal functions and their manipulations; energy, power, convolution, and systems; Fourier analysis of continuous time signals and digital signals; Laplace transform; and Z transforms. Practical applications are included throughout. The book is also packed with solved examples, self-study exercises, and end of chapter problems.

Basic Electrophysiological Methods

Basic Electrophysiological Methods PDF Author: Ellen Covey
Publisher: Oxford University Press
ISBN: 0199342547
Category : Medical
Languages : en
Pages : 241

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Book Description
Basic Electrophysiological Methods provides a concise and easy-to-read guide on a selection of the most important contemporary electrophysiological techniques, their implementation, applications, and ways in which they can be combined and integrated with neuroscientific techniques. Intended for students, postdocs, and faculty with a basic neuroscience background, this text will not obscure the relevant technical details with textbook neuroscience tutorials as many other books do. Instead, each chapter provides a conscientious overview of the underlying theory -- a comprehensive description of equipment, materials, methods, data management, and analysis -- a troubleshooting guide, and a list of frequently asked questions. No book or online resource can function as strictly a DIY set of instructions on how to implement a complex technique. However, this book provides a fundamental and accessible set of information intended to form a foundation prior to, during, and after hands-on experience and training, greatly facilitating the initial learning process and subsequent fine-tuning of technical details.

A Classical Approach to Artificial Intelligence

A Classical Approach to Artificial Intelligence PDF Author: Munesh Chandra Trivedi
Publisher: KHANNA PUBLISHING HOUSE
ISBN: 8190698893
Category : Computers
Languages : en
Pages : 540

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Book Description
There are many books available in the market on the proposed topic but none of them can be termed as comprehensive. Besides, students face many problems in understanding the language of this books. Keeping these points in mind, Artificial Intelligence was prepared, which should be simple enough to comprehend and comprehensive enough to encompass all the topics of different institutions and universities.

Handbook of Neuroprosthetic Methods

Handbook of Neuroprosthetic Methods PDF Author: Warren E. Finn
Publisher: CRC Press
ISBN: 1420040871
Category : Medical
Languages : en
Pages : 453

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Book Description
Work in the field of neuroprosthetics requires multidisciplinary teams, but these collaborators must meet on common ground to develop an understanding of the capabilities and limitations of each part of a bioengineering project. The Handbook of Neuroprosthetic Methods provides a comprehensive resource for the techniques, methodologies, and options

The Science of Everyday Life

The Science of Everyday Life PDF Author: Edgar Flandreau Van Buskirk
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 442

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Book Description


Local Approximation Techniques in Signal and Image Processing

Local Approximation Techniques in Signal and Image Processing PDF Author: Vladimir I︠A︡kovlevich Katkovnik
Publisher: SPIE-International Society for Optical Engineering
ISBN:
Category : Computers
Languages : en
Pages : 584

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Book Description
This book deals with a wide class of novel and efficient adaptive signal processing techniques developed to restore signals from noisy and degraded observations. These signals include those acquired from still or video cameras, electron microscopes, radar, X-rays, or ultrasound devices, and are used for various purposes, including entertainment, medical, business, industrial, military, civil, security, and scientific. In many cases useful information and high quality must be extracted from the imaging. However, often raw signals are not directly suitable for this purpose and must be processed in some way. Such processing is called signal reconstruction. This book is devoted to a recent and original approach to signal reconstruction based on combining two independent ideas: local polynomial approximation and the intersection of confidence interval rule.