Digital signal processing (DSP)

This book presents cutting-edge research and developments in the field of biomedical engineering, with a special emphasis on achievements by Asian research groups.

This book offers an overview on the main modern important topics in random variables, random processes, and decision theory for solving real-world problems.

This book presents how to apply recent machine learning (deep learning) methods for the task of speech quality prediction.

This book constitutes the proceedings of the 8th International Conference on Future Data and Security Engineering, FDSE 2021, which was supposed to be held in Ho Chi Minh City, Vietnam, in November 2021, but the conference was held virtually due to the COVID-19 pandemic.

This textbook provides a compact but comprehensive treatment that provides analytical and design steps to recurrent neural networks from scratch.

This textbook introduces basic and advanced embedded system topics through Arm Cortex M microcontrollers, covering programmable microcontroller usage starting from basic to advanced concepts using the STMicroelectronics Discovery development board.

This book provides a comprehensive view of cyber operations, analysis and targeting, including operational examples viewed through a lens of conceptual models available in current technical and policy literature.

This book makes application to the dynamics of arousal and distraction, and to other examples.

Deep connections exist between harmonic and applied analysis and the diverse yet connected topics of machine learning, data analysis, and imaging science.

This book is about improving prohibited substances detection using the nuclear quadrupole resonance (NQR) technique at security checkpoints.

This textbook is unique because of its in-depth treatment of the applications of wavelets and wavelet transforms to many areas, across many disciplines.

This fully updated and expanded textbook covers designing working systems at very high frequencies.

Remote Sensing Digital Image Analysis provides a comprehensive treatment of the methods used for the processing and interpretation of remotely sensed image data.

This book provides readers with a guide to the use of Digital Twin in manufacturing.

This book presents a collection of high-quality research papers accepted to multi-conference consisting of International Conference on Image Processing and Communications (IP&C 2021), International Conference on Computer Recognition Systems (CORES 2021), International Conference on Advanced Computer Systems (ACS 2021) held jointly in Bydgoszcz, Poland (virtually), in June 2021.

This book presents the workings of major clustering techniques along with their advantages and shortcomings.

This book offers an overview of current and recent methods for the analysis of the nonstationary processes, focusing on cyclostationary systems that are ubiquitous in various application fields.

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 highlights recent developments in human biometrics, covering a wide range of methods based on biological signals, image processing, and measurements of human characteristics such as fingerprints and iris or medical characteristics.

This book presents peer-reviewed and selected papers of the International Youth Conference on Electronics, Telecommunications, and Information Technologies (YETI-2021), held in Peter the Great St.

This book provides insights into how deep learning techniques impact language and speech processing applications.

The textbook covers the main aspects of Edge Computing, from a thorough look at the technology to the standards and industry associations working in the field.

This textbook is a complete, self-sufficient, self-study/tutorial-type source of mathematical problems.

This book offers an overview of current methods for the intelligent monitoring of rotating machines.

The Annual BCI Research Awards are international prizes that recognize the top new projects in brain-computer interface (BCI) research.

This textbook offers a tutorial introduction to robotics and control which is light and easy to absorb.

This textbook offers a tutorial introduction to robotics and Computer Vision which is light and easy to absorb.

This comprehensive textbook offers a scientifically sound and at the same time practical introduction to Virtual and Augmented Reality (VR/AR).

This book is intended to be a little different from other books in its coverage.

This book features the proceedings of The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2020), which took place 18 - 19 December 2020.

This book exemplifies how smart buildings have a crucial role to play for the future of energy.

This textbook introduces basic and advanced embedded system topics through Arm Cortex M microcontrollers, covering programmable microcontroller usage starting from basic to advanced concepts using the STMicroelectronics Discovery development board.

The book is designed to serve as a textbook for courses offered to undergraduate and graduate students enrolled in Electrical Engineering.

This book covers current technological innovations and applications in image processing, introducing analysis techniques and describing applications in remote sensing and manufacturing, among others.

The book is designed to serve as a textbook for courses offered to undergraduate and graduate students enrolled in Electrical Engineering.

This book serves as the first guideline of the integrative approach, optimal for our new and young generations.

This textbook, now in its 5th edition, provides updated state-of-the-art coverage of spread-spectrum communication systems with new applications throughout the book.

This book presents different experimental results as evidence of the good results obtained compared with respect to conventional approaches and literature references based on fuzzy logic.

Tensor is a natural representation for multi-dimensional data, and tensor computation can avoid possible multi-linear data structure loss in classical matrix computation-based data analysis.

This book provides insights into the benefits of using remote sensing data from a geoscientist's perspective, by integrating the data with the understanding of Earth's surface and subsurface.

This book presents applications of cognitive management and cognitive computing in the fields of risk management, cognitive fraud detection, and in business decision making.

This book explores the Galilean method for geolocation, placing it in historical and astronomical context.

This book describes the next generation of industry-Industry 4.

This book examines the problem of interoperability related to operating rules and gives an overview of the formal method approaches related to this subject.

To cope with the new running conditions in the ALICE experiment at the Large Hadron Collider at CERN, a new integrated circuit named SAMPA has been created that can process 32 analogue channels, convert them to digital, perform filtering  and compression, and transmit the data on high speed links to the data acquisition system.

This book provides a new multi-method, process-oriented approach towards speech quality assessment, which allows readers to examine the influence of speech transmission quality on a variety of perceptual and cognitive processes in human listeners.

This textbook explores all of the protocols and technologies essential to IoT communication mechanisms.

The textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval (MIR).

This book covers terahertz antenna technology for imaging and sensing, along with its various applications.

This textbook grew out of notes for the ECE143 Programming for Data Analysis class that the author has been teaching at University of California, San Diego, which is a requirement for both graduate and undergraduate degrees in Machine Learning and Data Science.