Название: Digital Signal Processing: Illustration Using Python
Автор: S. Еsаkkirаjаn, Т. Vееrаkumаr
Издательство: Springer
Год: 2024
Страниц: 535
Язык: английский
Формат: pdf (true)
Размер: 26.6 MB

The objective of this book is to implement signal processing algorithms in Python. There are many open-source software packages available to implement signal processing algorithms. The reasons for choosing Python are (1) it is a general-purpose programming language that can be used for various tasks beyond scientific computing. (2) Python has an active community of developers who create and maintain a wide range of libraries and frameworks. (3) Python has become the language of choice for many Machine Learning and Deep Learning applications with powerful libraries such as TensorFlow, PyTorch, and Keras. The main aim of signal processing is to extract information from the signal. After extracting useful information, further processing, like classification of information, has to be done effectively using Machine Learning and Deep Learning libraries in Python. In this book, Python is used as a tool to implement signal processing algorithms. Teaching Python is not the main aim of this book. Python is used as a vehicle to present concepts related to signal processing. In this book, the signals are generated, manipulated, transformed, and useful information is extracted using libraries available in Python. The Python programs used in this book are purposively made simple and illustrative. The libraries used in this book include (1) Numpy, (2) Scipy, (3) Matplotlib, etc. These libraries provide a wide range of tools and functions for performing operations like filtering, resampling, prediction, etc.

Название: Practical Audio DSP Projects with the ESP32 : Easy and Affordable Digital Signal Processing
Автор: Dogan Ibrahim, Ahmet Ibrahim
Издательство: Elektor Publication
Год: 2023
Страниц: 256
Язык: английский
Формат: pdf (true)
Размер: 33.7 MB

Easy and Affordable Digital Signal Processing. The aim of this book is to teach the basic principles of Digital Signal Processing (DSP) and to introduce it from a practical point of view using the bare minimum of mathematics. Only the basic level of discrete-time systems theory is given, sufficient to implement DSP applications in real time. The practical implementations are described in real time using the highly popular ESP32 DevKitC microcontroller development board. With the low cost and extremely popular ESP32 microcontroller, you should be able to design elementary DSP projects with sampling frequencies within the audio range. All programming is done using the popular Arduino IDE in conjunction with the C language compiler. After laying a solid foundation of DSP theory and pertinent discussions on the main DSP software tools on the market, the book presents the following audio-based sound and DSP projects.

Название: High-Performance and High-Speed Pipelined ADCs
Автор: Manar El-Chammas
Издательство: Springer
Год: 2023
Страниц: 161
Язык: английский
Формат: pdf (true), epub
Размер: 24.4 MB

This book discusses the theoretical foundations and design techniques needed to effectively design high-speed (multi-GS/s) and high-performance pipelined ADCs, which play a critical role in the signal chain of various systems. Readers will be walked through the design and analysis of pipelined ADCs and their topologies, and will learn both theoretical and practical design details that will enable them to explore and build these data converters. The author also presents details on various aspects of pipelined ADCs and their impact on the ADC speed and performance, with a focus on the input buffer and sampling network, the reference amplifier, comparators and their impact on ADC error rate and high-frequency performance, and mismatch estimation and correction. Analog-to-digital converters (ADCs) are instrumental components in electronic systems. They serve as one of the interfaces between the analog world and the digital signal processing (DSP) algorithms that interpret the world. Almost every system we interact with requires such an interface.

Название: Physical Biometrics for Hardware Security of DSP and Machine Learning Coprocessors
Автор: Anirban Sengupta
Издательство: The Institution of Engineering and Technology
Год: 2023
Страниц: 356
Язык: английский
Формат: pdf (true)
Размер: 24.4 MB

Physical Biometrics for Hardware Security of DSP and Machine Learning Coprocessors presents state-of-the art explanations for detective control-based security and protection of digital signal processing (DSP) and machine learning coprocessors against hardware threats. Such threats include intellectual property (IP) abuse and misuse, for example, fraudulent claims of IP ownership and IP piracy. DSP coprocessors such as finite impulse response filters, image processing filters, discrete Fourier transform, and JPEG compression hardware are extensively utilized in several real-life applications. Further, machine learning coprocessors such as convolutional neural network (CNN) hardware IP cores play a vital role in several applications such as face recognition, medical imaging, autonomous driving, and biometric authentication, amongst others.

Название: Digital Signal Processing for Wireless Communication using Matlab, Second Edition
Автор: E.S. Gopi
Издательство: Springer
Год: 2021
Страниц: 233
Язык: английский
Формат: pdf (true), epub
Размер: 50.5 MB

The updated book presents Matlab illustrations on various digital signal processing (DSP) techniques such as random process, time varying wireless system model, and detection and estimation theory used in wireless communication. The book also covers recent wireless techniques like OFDM, massive MIMO techniques, non-orthogonal multiple access, millimeter wave MIMO, full duplex, cognitive radio, co-operating communication, unmanned aerial vehicles etc. This book is suitable for those who are doing basic and applied research in digital signal processing for wireless communication.

Название: Digital Signal Processing with Python Programming
Автор: Maurice Charbit
Издательство: Wiley-ISTE
ISBN: 1786301261
Год: 2017
Язык: Английский
Страниц: 290
Формат: pdf
Размер: 26.37 MB

Оценка параметров и проверка гипотез - это основные инструменты статистического вывода. Эти методы имеют место во многих приложениях обработки данных, также методы Монте-Карло стали важным инструментом для оценки производительности. Автор подразумевает хорошие знания у читателя языка Python и понимание основ DSP.