TY  - BOOK
AU  - Ansari,Irshad Ahmad
AU  - Bajaj,Varun
ED  - Institute of Physics (Great Britain),
TI  - Signal processing with Python: a practical approach 
T2  - [IOP release $release]
SN  - 9780750359290
AV  - TK5102.9 .S547 2024eb
PY  - 2024///]
CY  - Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK)
PB  - IOP Publishing
KW  - Signal processing
KW  - Digital techniques
KW  - Data processing
KW  - Python (Computer program language)
KW  - bicssc
KW  - TECHNOLOGY & ENGINEERING / Signals & Signal Processing
KW  - bisacsh
N1  - "Version: 20240301"--Title page verso; Includes bibliographical references; 1. Automatic feature extraction using deep learning for automatic modulation classification implemented with Python / Nakul Kishor Pathak and Varun Bajaj -- 2. Applying B-value and empirical equivalence hypothesis testing to intellectual and developmental disabilities electroencephalogram data / Mozhdeh Saghalaini, Zahra Ghanbari and Mohammad Hassan Moradi -- 3. Filter design and denoising technique for ECG signals / Meena Anandan, Manas Kumar Mishra, Akash Kumar Jain, Pandiyarasan Veluswamy and Rohini Palanisamy -- 4. Electroencephalogram signal processing with Python / M. Taghaddossi, P. Moradi and M.H. Moradi -- 5. AG-PSO: prediction of heart diseases for an unbalanced dataset using feature extraction / Deepika Sainani and Urvashi P. Shukla -- 6. Python based bio-signal processing: mitigation of baseline wandering in pre-recorded electrooculogram / K.K. Mujeeb Rahman -- 7. Efficient nanoscale device modeling using artificial neural networks with TensorFlow and Keras libraries in Python / Abhishek Kumar Singh, Rohini Palanisamy and Aakash Kumar Jain -- 8. A Python-based comparative study of convolutional neural network-based approaches for the early detection of breast cancer / Ishrat Jahan Mohima and Mosabber Uddin Ahmed -- 9. Maximum power point tracking for partially shaded photovoltaic system using advanced signal processing / K.P. Madhavan -- 10. Automating Monte Carlo simulation data analysis using Python in Anaconda environment / Abhishek Kumar Singh and Aakash Kumar Jain; Full-text restricted to subscribers or individual document purchasers; Professional and scholarly; Also available in print
N2  - This book explores the domain of signal processing using Python, with the help of working examples and accompanying code. The 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 ignite new developments and techniques in the domain of signal processing with Python
UR  - https://iopscience.iop.org/book/edit/978-0-7503-5929-0
ER  -