Python For Signal Processing

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Python For Signal Processing

Author : José Unpingco
ISBN : 9783319013428
Genre : Technology & Engineering
File Size : 30.85 MB
Format : PDF, Mobi
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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.
Category: Technology & Engineering

Digital Signal Processing Dsp With Python Programming

Author : Maurice Charbit
ISBN : 9781786301260
Genre : Technology & Engineering
File Size : 82.79 MB
Format : PDF
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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.
Category: Technology & Engineering

Think Dsp

Author : Allen B. Downey
ISBN : 9781491938515
Genre : Technology & Engineering
File Size : 69.95 MB
Format : PDF
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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.
Category: Technology & Engineering

Python Programming For Biology

Author : Tim J. Stevens
ISBN : 9780521895835
Genre : Computers
File Size : 40.79 MB
Format : PDF, ePub, Docs
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This book introduces Python as a powerful tool for the investigation of problems in computational biology, for novices and experienced programmers alike.
Category: Computers

Linear Algebra Signal Processing And Wavelets A Unified Approach

Author : Øyvind Ryan
ISBN : 9783030029401
Genre : Mathematics
File Size : 43.69 MB
Format : PDF, ePub, Docs
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This book offers a user friendly, hands-on, and systematic introduction to applied and computational harmonic analysis: to Fourier analysis, signal processing and wavelets; and to their interplay and applications. The approach is novel, and the book can be used in undergraduate courses, for example, following a first course in linear algebra, but is also suitable for use in graduate level courses. The book will benefit anyone with a basic background in linear algebra. It defines fundamental concepts in signal processing and wavelet theory, assuming only a familiarity with elementary linear algebra. No background in signal processing is needed. Additionally, the book demonstrates in detail why linear algebra is often the best way to go. Those with only a signal processing background are also introduced to the world of linear algebra, although a full course is recommended. The book comes in two versions: one based on MATLAB, and one on Python, demonstrating the feasibility and applications of both approaches. Most of the code is available interactively. The applications mainly involve sound and images. The book also includes a rich set of exercises, many of which are of a computational nature.
Category: Mathematics

Intelligence And Security Informatics

Author : Daniel Ortiz-Arroyo
ISBN : 9783540899006
Genre : Computers
File Size : 48.90 MB
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This book constitutes the refereed proceedings of the First European Conference on Intelligence and Security Informatics, EuroISI 2008, held in Esbjerg, Denmark, in December 2008. The 23 revised full papers and 2 revised poster papers presented were carefully reviewed and selected from 48 submissions. The papers are organized in topical sections on criminal and social network analysis, intelligence analysis and knowledge discovery, Web-based intelligence monitoring and analysis, privacy protection, access control, and digital rights management, malware and intrusion detection, as well as surveillance and crisis management.
Category: Computers

Artificial Intelligence In Wireless Communications

Author : Thomas Warren Rondeau
ISBN : 9781607832355
Genre : Computers
File Size : 65.63 MB
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This cutting-edge resource offers practical overview of cognitive radio, a paradigm for wireless communications in which a network or a wireless node changes its transmission or reception parameters. The alteration of parameters is based on the active monitoring of several factors in the external and internal radio environment. This book offers a detailed description of cognitive radio and its individual parts. Practitioners learn how the basic processing elements and their capabilities are implemented as modular components. Moreover, the book explains how each component can be developed and tested independently, before integration with the rest of the engine. Practitioners discover how cognitive radio uses artificial intelligence to achieve radio optimization. The book also provides an in-depth working example of the developed cognitive engine and an experimental scenario to help engineers understand its performance and behavior.
Category: Computers

Nonlinear Digital Filtering With Python

Author : Ronald K. Pearson
ISBN : 9781498714136
Genre : Medical
File Size : 46.97 MB
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Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a number of its extensions (e.g., weighted and recursive median filters), and Volterra filters based on polynomial nonlinearities. Adopting both structural and behavioral approaches in characterizing and designing nonlinear digital filters, this book: Begins with an expedient introduction to programming in the free, open-source computing environment of Python Uses results from algebra and the theory of functional equations to construct and characterize behaviorally defined nonlinear filter classes Analyzes the impact of a range of useful interconnection strategies on filter behavior, providing Python implementations of the presented filters and interconnection strategies Proposes practical, bottom-up strategies for designing more complex and capable filters from simpler components in a way that preserves the key properties of these components Illustrates the behavioral consequences of allowing recursive (i.e., feedback) interconnections in nonlinear digital filters while highlighting a challenging but promising research frontier Nonlinear Digital Filtering with Python: An Introduction supplies essential knowledge useful for developing and implementing data cleaning filters for dynamic data analysis and time-series modeling.
Category: Medical

Introduction To Audio Analysis

Author : Theodoros Giannakopoulos
ISBN : 9780080993898
Genre : Computers
File Size : 62.99 MB
Format : PDF, Kindle
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Introduction to Audio Analysis serves as a standalone introduction to audio analysis, providing theoretical background to many state-of-the-art techniques. It covers the essential theory necessary to develop audio engineering applications, but also uses programming techniques, notably MATLAB®, to take a more applied approach to the topic. Basic theory and reproducible experiments are combined to demonstrate theoretical concepts from a practical point of view and provide a solid foundation in the field of audio analysis. Audio feature extraction, audio classification, audio segmentation, and music information retrieval are all addressed in detail, along with material on basic audio processing and frequency domain representations and filtering. Throughout the text, reproducible MATLAB® examples are accompanied by theoretical descriptions, illustrating how concepts and equations can be applied to the development of audio analysis systems and components. A blend of reproducible MATLAB® code and essential theory provides enable the reader to delve into the world of audio signals and develop real-world audio applications in various domains. Practical approach to signal processing: The first book to focus on audio analysis from a signal processing perspective, demonstrating practical implementation alongside theoretical concepts Bridge the gap between theory and practice: The authors demonstrate how to apply equations to real-life code examples and resources, giving you the technical skills to develop real-world applications Library of MATLAB code: The book is accompanied by a well-documented library of MATLAB functions and reproducible experiments
Category: Computers

Image Processing And Acquisition Using Python

Author : Ravishankar Chityala
ISBN : 9781466583757
Genre : Technology & Engineering
File Size : 66.89 MB
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Image Processing and Acquisition using Python provides readers with a sound foundation in both image acquisition and image processing—one of the first books to integrate these topics together. By improving readers’ knowledge of image acquisition techniques and corresponding image processing, the book will help them perform experiments more effectively and cost efficiently as well as analyze and measure more accurately. Long recognized as one of the easiest languages for non-programmers to learn, Python is used in a variety of practical examples. A refresher for more experienced readers, the first part of the book presents an introduction to Python, Python modules, reading and writing images using Python, and an introduction to images. The second part discusses the basics of image processing, including pre/post processing using filters, segmentation, morphological operations, and measurements. The last part describes image acquisition using various modalities, such as x-ray, CT, MRI, light microscopy, and electron microscopy. These modalities encompass most of the common image acquisition methods currently used by researchers in academia and industry.
Category: Technology & Engineering

Opencv For Secret Agents

Author : Joseph Howse
ISBN : 9781783287383
Genre : Computers
File Size : 81.29 MB
Format : PDF, ePub
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This book is for programmers who want to expand their skills by building fun, smart, and useful systems with OpenCV. The projects are ideal in helping you to think creatively about the uses of computer vision, natural user interfaces, and ubiquitous computers (in your home, car, and hand).
Category: Computers

Python Gui For Signal And Image Processing

Author : Vivian Siahaan
ISBN :
Genre : Computers
File Size : 69.78 MB
Format : PDF, ePub, Docs
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You will learn to create GUI applications using the Qt toolkit. The Qt toolkit, also popularly known as Qt, is a cross-platform application and UI framework developed by Trolltech, which is used to develop GUI applications. You will develop an existing GUI by adding several Line Edit widgets to read input, which are used to set the range and step of the graph (signal). Next, Now, you can use a widget for each graph. Add another Widget from Containers in gui_graphics.ui using Qt Designer. Then, Now, you can use two Widgets, each of which has two canvases. The two canvases has QVBoxLayout in each Widget. Finally, you will apply those Widgets to display the results of signal and image processing techniques.
Category: Computers

Game Programming With Python Lua And Ruby

Author : Tom Gutschmidt
ISBN : 1592000770
Genre : Computers
File Size : 34.94 MB
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Get ready to dive headfirst into the world of programming! "Game Programming with Python, Lua, and Ruby" offers an in-depth look at these three flexible languages as they relate to creating games. No matter what your skill level as a programmer, this book provides the guidance you need. Each language is covered in its own section—you'll begin with the basics of syntax and style and then move on to more advanced topics. Follow along with each language or jump right to a specific section! Similar features in Python, Lua, and Ruby—including functions, string handling, data types, commenting, and arrays and strings—are examined. Learn how each language is used in popular game engines and projects, and jumpstart your programming expertise as you develop skills you'll use again and again!
Category: Computers

Introduction To Computing And Programming In Python

Author : Mark Guzdial
ISBN : 9780131176553
Genre : Computers
File Size : 78.78 MB
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Guzdial introduces programming as a way of creating and manipulating mediaa context familiar and intriguing to today's readers.Starts readers with actual programming early on. Puts programming in a relevant context (Computing for Communications). Includes implementing Photoshop-like effects, reversing/splicing sounds, creating animations. Acknowledges that readers in this audience care about the Web; introduces HTML and covers writing programs that generate HTML. Uses the Web as a Data Source; shows readers how to read from files, but also how to write programs to directly read Web pages and distill information from there for use in other calculations, other Web pages, etc. (examples include temperature from a weather page, stock prices from a financials page).A comprehensive guide for anyone interested in learning the basics of programming with one of the best web languages, Python.
Category: Computers

Digital Modulations Using Python

Author : Mathuranathan Viswanathan
ISBN : 1712342746
Genre :
File Size : 20.88 MB
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This paperback is a black & white edition. Link to the color edition: https: //www.amazon.com/dp/1712321633 . A learner-friendly, practical and example driven book, Digital Modulations using Python gives you a solid background in building simulation models for digital modulation systems in Python version 3. This book, an essential guide for understanding the implementation aspects of a digital modulation system, shows how to simulate and model a digital modulation system from scratch. The implemented simulation models shown in this book, provide an opportunity for an engineer to understand the basic implementation aspects of modeling various building blocks of a digital modulation system. It presents the key topics with required theoretical background along with the implementation details in the form of Python scripts. Key topics: ► Basics of signal processing, essential for implementing digital modulation techniques - generation of test signals, interpreting FFT results, power and energy of a signal, methods to compute convolution, analytic signal and applications. ► Waveform and complex baseband equivalent simulation models. ► Digital modulation techniques covered: BPSK and its variants, QPSK and its variants, M-ary PSK, M-ary QAM, M-ary PAM, CPM, MSK, GMSK, M-ary FSK. ► Simulation for ascertaining performance of digital modulation techniques in AWGN and fading channels - Eb/N0 Vs BER curves. ► Design and implementation of linear equalizers - zero forcing and MMSE equalizers, using them in a communication link, LMS algorithm for adaptive equalization. ► Simulation and performance of modulation systems with receiver impairments. ► Examples using object oriented programming. ► Simulation scripts using SciPy, Numpy and Matplotlib packages.
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