Electrical engineering

Latent semantic mapping (LSM) is a generalization of latent semantic analysis (LSA), a paradigm originally developed to capture hidden word patterns in a text document corpus.

This book describes fully embedded board level optical interconnect in detail including the fabrication of the thin-film VCSEL array, its characterization, thermal management, the fabrication of optical interconnection layer, and the integration of devices on a flexible waveguide film.

In this work, the reliability of HfO2 (hafnium oxide) with poly gate and dual metal gate electrode (Ru-Ta alloy, Ru) was investigated.

This book is designed for use as a textbook for a one semester Signals and Systems class.

Linear algebra is one of the most basic foundations of a wide range of scientific domains, and most textbooks of linear algebra are written by mathematicians.

Real-time or applied digital signal processing courses are offered as follow-ups to conventional or theory-oriented digital signal processing courses in many engineering programs for the purpose of teaching students the technical know-how for putting signal processing algorithms or theory into practical use.

This book focuses on a class of single-channel noise reduction methods that are performed in the frequency domain via the short-time Fourier transform (STFT).

This book is devoted to the study of the problem of speech enhancement whose objective is the recovery of a signal of interest (i.

Speech dynamics refer to the temporal characteristics in all stages of the human speech communication process.

Immediately following the Second World War, between 1947 and 1955, several classic papers quantified the fundamentals of human speech information processing and recognition.

A typical undergraduate electrical engineering curriculum incorporates a signals and systems course.

Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements.

A typical undergraduate electrical engineering curriculum incorporates a signals and systems course.

The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the state evolution and measurement processes are both linear and Gaussian.

Real-time or applied digital signal processing courses are offered as follow-ups to conventional or theory-oriented digital signal processing courses in many engineering programs for the purpose of teaching students the technical know-how for putting signal processing algorithms or theory into practical use.

In these notes, we introduce particle filtering as a recursive importance sampling method that approximates the minimum-mean-square-error (MMSE) estimate of a sequence of hidden state vectors in scenarios where the joint probability distribution of the states and the observations is non-Gaussian and, therefore, closed-form analytical expressions for the MMSE estimate are generally unavailable.

This short book is for students, professors and professionals interested in signal processing of seismic data using MATLAB(TM).

This book is intended to fill the gap between the "e;"e;ideal precision"e;"e; digital signal processing (DSP) that is widely taught, and the limited precision implementation skills that are commonly required in fixed-point processors and field programmable gate arrays (FPGAs).

Adaptive detection of signals embedded in correlated Gaussian noise has been an active field of research in the last decades.

This book is Volume IV of the series DSP for MATLAB(TM) and LabVIEW(TM).

This book is Volume III of the series DSP for MATLAB(TM) and LabVIEW(TM).

This book is Volume II of the series DSP for MATLAB(TM) and LabVIEW(TM).

This book is Volume I of the series DSP for MATLAB(TM) and LabVIEW(TM).

Linear prediction theory has had a profound impact in the field of digital signal processing.

The purpose of this lecture book is to present the state of the art in nonlinear blind source separation, in a form appropriate for students, researchers and developers.

Spectral estimation is important in many fields including astronomy, meteorology, seismology, communications, economics, speech analysis, medical imaging, radar, sonar, and underwater acoustics.

This book presents a step-by-step discussion of the design and development of radio frequency identification (RFID) and RFID-enabled sensors on flexible low cost substrates for UHF frequency bands.

This volume considers various methods of energy storage that make use of electrochemical reactions, electric and magnetic fields, and chemical reactions.

This book presents physics-based electro-thermal models of bipolar power semiconductor devices including their packages, and describes their implementation in MATLAB and Simulink.

The efficiency of solar energy farms requires detailed analytics and information on each panel regarding voltage, current, temperature, and irradiance.

Computers play an important role in the analyzing and designing of modern DC-DC power converters.

DC-DC converters require negative feedback to provide a suitable output voltage or current for the load.

DC-DC converters have many applications in the modern world.

Wind power penetration is rapidly increasing in today's energy generation industry.

The world energy demand has been increasing in a rapid manner with the increase of population and rising standard of living.

This book presents the reader, whether an electrical engineering student in power electronics or a design engineer, a selection of power converter control problems and their basic digital solutions, based on the most widespread digital control techniques.

This book presents physics-based models of bipolar power semiconductor devices and their implementation in MATLAB and Simulink.

Although the solar energy industry has experienced rapid growth recently, high-level management of photovoltaic (PV) arrays has remained an open problem.

This book links the challenges to which the electricity network is exposed with the range of new technology, methodologies and market mechanisms known under the name "e;smart grid.

Wind energy is now the world's fastest growing energy source.

An analysis of the current (February 2009) status and future potential of India's nuclear fuel cycle is presented in this book.

Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral (multispectral) images that are captured by different sensors on satellites.

Micro-videos, a new form of user-generated contents, have been spreading widely across various social platforms, such as Vine, Kuaishou, and Tik Tok.

The book is based on the material originally developed for the course on Virtual Reality, which the author was teaching at Tampere University of Technology, as well as course on Virtual Environments that the author had prepared for the University for Advancing Studies at Tempe, Arizona.

The last few years have witnessed fast development on dictionary learning approaches for a set of visual computing tasks, largely due to their utilization in developing new techniques based on sparse representation.

Every year lives and properties are lost in road accidents.

Current vision systems are designed to perform in normal weather condition.

Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision.

Video context analysis is an active and vibrant research area, which provides means for extracting, analyzing and understanding behavior of a single target and multiple targets.

This book explains the stages necessary to create a wavelet compression system for images and describes state-of-the-art systems used in image compression standards and current research.