Women in Signal Processing

Women in Signal Processing

Author: Hagit Messer

Publisher: Frontiers Media SA

Published: 2022-12-12

Total Pages: 156

ISBN-13: 2832500501

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At present, less than 30% of researchers worldwide are women. As an estimate, this number is even lower in the field of Signal Processing, with some sources indicating it could be around 10%. Long-standing biases and gender stereotypes are discouraging girls and women away from science related fields, and STEM research in particular. Science and gender equality are, however, essential to ensure sustainable development as highlighted by UNESCO. In order to change traditional mindsets, gender equality must be promoted, stereotypes defeated, and girls and women should be encouraged to pursue STEM careers. Frontiers in Signal Processing is proud to offer this platform to promote the work of women researchers and engineers, across all areas of Signal Processing. The work presented here highlights the diversity of research performed across the entire breadth of the Signal Processing landscape, and presents advances in theory, experiment and methodology with applications to compelling problems. This article collection is open for submissions across all sections of the journal, and new articles will be added as they are published. Please note: to be considered for this collection, the corresponding author should be a female researcher.


Real-Time Digital Signal Processing

Real-Time Digital Signal Processing

Author: Nasser Kehtarnavaz

Publisher: Elsevier

Published: 2011-03-15

Total Pages: 322

ISBN-13: 0080470335

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Digital Signal Processing has undergone enormous growth in usage/implementation in the last 20 years and many engineering schools are now offering real-time DSP courses in their undergraduate curricula. Our everyday lives involve the use of DSP systems in things such as cell phones and high-speed modems; Texas Instruments has introduced the TMS320C6000 DSP processor family to meet the high performance demands of today's signal processing applications.This book provides the know-how for the implementation and optimization of computationally intensive signal processing algorithms on the Texas Instruments family of TMS320C6000 DSP processors. It is organized in such a way that it can be used as the textbook for DSP lab courses offered at many engineering schools or as a self-study/reference for those familiar with DSP but not this family of processors.This book provides a restructured, modified, and condensed version of the information in more than twenty TI manuals so that one can learn real-time DSP implementations on the C6000 family in a structured course, within one semester. Each chapter is followed by an appropriate lab exercise to provide the hands-on lab material for implementing appropriate signal processing functions. - Each chapter is followed by an appropriate lab exercise - Provides the hands-on lab material for implementing appropriate signal processing functions


Signal Processing for Communications

Signal Processing for Communications

Author: Paolo Prandoni

Publisher: Collection Savoir suisse

Published: 2008-06-17

Total Pages: 392

ISBN-13: 2940222207

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With a novel, less classical approach to the subject, the authors have written a book with the conviction that signal processing should be taught to be fun. The treatment is therefore less focused on the mathematics and more on the conceptual aspects, the idea being to allow the readers to think about the subject at a higher conceptual level, thus building the foundations for more advanced topics. The book remains an engineering text, with the goal of helping students solve real-world problems. In this vein, the last chapter pulls together the individual topics as discussed throughout the book into an in-depth look at the development of an end-to-end communication system, namely, a modem for communicating digital information over an analog channel.


Fundamentals of Statistical Signal Processing

Fundamentals of Statistical Signal Processing

Author: Steven M. Kay

Publisher: Pearson Education

Published: 2013

Total Pages: 496

ISBN-13: 013280803X

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"For those involved in the design and implementation of signal processing algorithms, this book strikes a balance between highly theoretical expositions and the more practical treatments, covering only those approaches necessary for obtaining an optimal estimator and analyzing its performance. Author Steven M. Kay discusses classical estimation followed by Bayesian estimation, and illustrates the theory with numerous pedagogical and real-world examples."--Cover, volume 1.


Social Signal Processing

Social Signal Processing

Author: Judee K. Burgoon

Publisher: Cambridge University Press

Published: 2017-05-08

Total Pages: 441

ISBN-13: 1107161266

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This book provides comprehensive, authoritative surveys covering the modeling, automatic detection, analysis, and synthesis of nonverbal social signals.


Innovations in Signal Processing and Embedded Systems

Innovations in Signal Processing and Embedded Systems

Author: Jyotsna Kumar Mandal

Publisher: Springer Nature

Published: 2022-09-13

Total Pages: 489

ISBN-13: 9811916691

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This book covers four sections such as artificial intelligence and machine learning; VLSI and signal processing; robotics and automation; and communications and networking. This book is a collection of selected papers presented at the First International Conference on Innovations in Signal Processing and Embedded Systems (ICISPES 2021), organized by MLR Institute of Technology, Hyderabad, India, during October 22–23, 2021. The topics covered are advanced communication technologies, IoT-based systems and applications, application AI in computer vision, natural language processing, reinforcement learning, ANN and deep neural networks, RNN, GAN, CNN and RBM, SOC, NOC design, VLSI and CAD/CAM, cross-layer design, fault tolerance and computation theories, FPGA in outer space, nanotechnology, semiconductor technology, signal and image processing, high-performance computing, pattern recognition and computer vision innovations in robotics, reconfigurable robots, and MEMS/NEMS.


Digital Signal Processing Implementations

Digital Signal Processing Implementations

Author: Avtar Singh

Publisher: Thomson Brooks/Cole

Published: 2004

Total Pages: 368

ISBN-13:

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"Whether you are an engineering student or an engineer already engaged in system design, this current book will become your essential companion - guiding you in using both hardware and software as you design systems with programmable DSP devices."--Jacket.


Advances in Automation, Signal Processing, Instrumentation, and Control

Advances in Automation, Signal Processing, Instrumentation, and Control

Author: Venkata Lakshmi Narayana Komanapalli

Publisher: Springer Nature

Published: 2021-03-04

Total Pages: 3212

ISBN-13: 9811582211

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This book presents the select proceedings of the International Conference on Automation, Signal Processing, Instrumentation and Control (i-CASIC) 2020. The book mainly focuses on emerging technologies in electrical systems, IoT-based instrumentation, advanced industrial automation, and advanced image and signal processing. It also includes studies on the analysis, design and implementation of instrumentation systems, and high-accuracy and energy-efficient controllers. The contents of this book will be useful for beginners, researchers as well as professionals interested in instrumentation and control, and other allied fields.


The Mathematics of Signal Processing

The Mathematics of Signal Processing

Author: Steven B. Damelin

Publisher: Cambridge University Press

Published: 2012

Total Pages: 463

ISBN-13: 1107013224

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Develops mathematical and probabilistic tools needed to give rigorous derivations and applications of fundamental results in signal processing theory.


Advanced Methods in Biomedical Signal Processing and Analysis

Advanced Methods in Biomedical Signal Processing and Analysis

Author: Kunal Pal

Publisher: Academic Press

Published: 2022-09-07

Total Pages: 434

ISBN-13: 0323859542

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Advanced Methods in Biomedical Signal Processing and Analysis presents state-of-the-art methods in biosignal processing, including recurrence quantification analysis, heart rate variability, analysis of the RRI time-series signals, joint time-frequency analyses, wavelet transforms and wavelet packet decomposition, empirical mode decomposition, modeling of biosignals, Gabor Transform, empirical mode decomposition. The book also gives an understanding of feature extraction, feature ranking, and feature selection methods, while also demonstrating how to apply artificial intelligence and machine learning to biosignal techniques. - Gives advanced methods in signal processing - Includes machine and deep learning methods - Presents experimental case studies