Signal Processing with Python (eBook, ePUB)
A practical approach
Redaktion: Ansari, Irshad Ahmad; Bajaj, Varun
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Python has gained popularity in scientific computing, as it has built-in scientific support through packages and toolkits such as SciPy and NumPy. Being open-source, it also has strong community support for developing packages and sharing expertise. Given this, it is inevitable that Python is going to become one of the most popular, flexible programming languages shortly. It is finding applications in science and engineering for everything starting from basic scripting to machine learning. Signal processing is also not immune to the march of Python and therefore this book is written to provide...
Python has gained popularity in scientific computing, as it has built-in scientific support through packages and toolkits such as SciPy and NumPy. Being open-source, it also has strong community support for developing packages and sharing expertise. Given this, it is inevitable that Python is going to become one of the most popular, flexible programming languages shortly. It is finding applications in science and engineering for everything starting from basic scripting to machine learning. Signal processing is also not immune to the march of Python and therefore this book is written to provide a practical approach to readers.
This book explores the domain of signal processing using Python, with the help of working examples and accompanying code. Aimed at researchers and advanced students with a knowledge of signal processing fundamentals, this book introduces the concepts of Python programming via signal processing with numerous hands-on examples and code snippets. The book will enable readers to appreciate the power of Python in this field and write their code to implement complex signal processing algorithms such as signal compression, cleaning, segmentation, decomposition, and feature extraction and be able to incorporate machine learning models using relevant Python libraries. This book aims to bring together professionals from academia and industry to help readers develop their applications, whether for software-based implementation or simulation and testing before a final hardware implementation. This book aims to help new developments and techniques in the domain of signal processing with Python.
This book explores the domain of signal processing using Python, with the help of working examples and accompanying code. Aimed at researchers and advanced students with a knowledge of signal processing fundamentals, this book introduces the concepts of Python programming via signal processing with numerous hands-on examples and code snippets. The book will enable readers to appreciate the power of Python in this field and write their code to implement complex signal processing algorithms such as signal compression, cleaning, segmentation, decomposition, and feature extraction and be able to incorporate machine learning models using relevant Python libraries. This book aims to bring together professionals from academia and industry to help readers develop their applications, whether for software-based implementation or simulation and testing before a final hardware implementation. This book aims to help new developments and techniques in the domain of signal processing with Python.
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