Digital signal processing (DSP)

Advances in Systems, Computing Sciences and Software Engineering This book includes the proceedings of the International Conference on Systems, Computing Sciences and Software Engineering (SCSS'05).

Multimedia networking applications and, in particular, the transport of c- pressed video are expected to contribute signi?

The chapters in this volume were presented at the July-August 2006 NATO Advanced Study Institute on Imaging for Detection and Identi?

The rapid growth in electronic systems in the past decade has boosted - search in the area of computational intelligence.

Continuous-Time Signals is an extended description of continuous-time signals related to the course of Signals and Systems.

Cooperation in Wireless Networks: Principles and Applications covers the underlying principles of cooperative techniques as well as several applications demonstrating the use of such techniques in practical systems.

Institutional research monograph

Coordinated Multiuser Communications provides for the first time a unified treatment of multiuser detection and multiuser decoding in a single volume.

Turbo Code Applications: a journey from a paper to realization presents c- temporary applications of turbo codes in thirteen technical chapters.

The approach adopted in Digital Synthesizers and Transmitters for Software Radio will provide an understanding of key areas in the field of digital synthesizers and transmitters.

The overall aim of the book is to provide an integrated view of the separate stages of the speech chain, covering the production process, speech data analysis and speech perception.

Mathematical Morphology is a speciality in Image Processing and Analysis, which considers images as geometrical objects, to be analyzed through their interactions with other geometrical objects.

With the growing impact of information technology on daily life, speech is becoming increasingly important for providing a natural means of communication between humans and machines.

New design architectures in computer systems have surpassed industry expectations.

The Industrial Electronics Handbook, Second Edition combines traditional and newer, more specialized knowledge that will help industrial electronics engineers develop practical solutions for the design and implementation of high-power applications.

Signals and Systems Primer with MATLAB(R) equally emphasizes the fundamentals of both analog and digital signals and systems.

In an era of intense competition where plant operating efficiencies must be maximized, downtime due to machinery failure has become more costly.

Solving circuit problems is less a matter of knowing what steps to follow than why those steps are necessary.

Adaptive techniques play a key role in modern wireless communication systems.

Signal processing is a broad and timeless area.

Discover the Applicability, Benefits, and Potential of New Technologies As advances in algorithms and computer technology have bolstered the digital signal processing capabilities of real-time sonar, radar, and non-invasive medical diagnostics systems, cutting-edge military and defense research has established conceptual similarities in these areas.

With countless electric motors being used in daily life, in everything from transportation and medical treatment to military operation and communication, unexpected failures can lead to the loss of valuable human life or a costly standstill in industry.

The Second Edition of the bestselling Measurement, Instrumentation, and Sensors Handbook brings together all aspects of the design and implementation of measurement, instrumentation, and sensors.

With the recent proliferation of service-oriented architectures (SOA), cloud computing technologies, and distributed-interconnected systems, distributed fusion is taking on a larger role in a variety of applications-from environmental monitoring and crisis management to intelligent buildings and defense.

Chaotic Signals in Digital Communications combines fundamental background knowledge with state-of-the-art methods for using chaotic signals and systems in digital communications.

Equalizers are present in all forms of communication systems.

With the emergence of compressive sensing and sparse signal reconstruction, approaches to urban radar have shifted toward relaxed constraints on signal sampling schemes in time and space, and to effectively address logistic difficulties in data acquisition.

Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances.

Analog Electronics for Radiation Detection showcases the latest advances in readout electronics for particle, or radiation, detectors.

Localization of transmitters and receiving sensors is achieved by measuring radiation emitted by a source to a set of sensors, which are either on a definite pattern, known as an array, or one randomly located at irregular points, known as a distributed sensor array.

Localization of transmitters and receiving sensors is achieved by measuring radiation emitted by a source to a set of sensors, which are either on a definite pattern, known as an array, or one randomly located at irregular points, known as a distributed sensor array.

Grid-based Nonlinear Estimation and its Applications presents new Bayesian nonlinear estimation techniques developed in the last two decades.

Grid-based Nonlinear Estimation and its Applications presents new Bayesian nonlinear estimation techniques developed in the last two decades.

This book covers crucial lacunae of the linear discrete-time time-invariant dynamical systems and introduces the reader to their treatment, while functioning under real, natural conditions, in forced regimes with arbitrary initial conditions.

This book covers crucial lacunae of the linear discrete-time time-invariant dynamical systems and introduces the reader to their treatment, while functioning under real, natural conditions, in forced regimes with arbitrary initial conditions.

Frequency-Domain Receiver Design for Doubly-Selective Channels discusses broadband wireless transmission techniques, which are serious candidates to be implemented in future broadband wireless and cellular systems, aiming at providing high and reliable data transmission and concomitantly high mobility.

Frequency-Domain Receiver Design for Doubly-Selective Channels discusses broadband wireless transmission techniques, which are serious candidates to be implemented in future broadband wireless and cellular systems, aiming at providing high and reliable data transmission and concomitantly high mobility.

Welcome to the second volume of Game Audio Programming: Principles and Practices - the first series of its kind dedicated to the art of game audio programming!

Welcome to the second volume of Game Audio Programming: Principles and Practices - the first series of its kind dedicated to the art of game audio programming!

This book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral density and power spectral density.

Future remote sensing systems will make extensive use of Compressive Sensing (CS) as it becomes more integrated into the system design with increased high resolution sensor developments and the rising earth observation data generated each year.

Nonlinear Filtering covers linear and nonlinear filtering in a comprehensive manner, with appropriate theoretic and practical development.

This book covers various quantitative methods for preprocessing and analyzing human EEG signals.

Of the research areas devoted to biomedical sciences, the study of the brain remains a field that continually attracts interest due to the vast range of people afflicted with debilitating brain disorders and those interested in ameliorating its effects.

The latest edition provides a comprehensive foundation for image and video compression.

The latest edition provides a comprehensive foundation for image and video compression.

Advances in Shannon's Sampling Theory provides an up-to-date discussion of sampling theory, emphasizing the interaction between sampling theory and other branches of mathematical analysis, including the theory of boundary-value problems, frames, wavelets, multiresolution analysis, special functions, and functional analysis.

Advances in Shannon's Sampling Theory provides an up-to-date discussion of sampling theory, emphasizing the interaction between sampling theory and other branches of mathematical analysis, including the theory of boundary-value problems, frames, wavelets, multiresolution analysis, special functions, and functional analysis.