Digital signal processing (DSP)

This book concentrates on intelligent technologies as it relates to engineering systems.

In this book the author examines 60 GHz and conventional UWB.

Editors Amy Neustein and Judith A.

This book discusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering.

In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner.

Automatic personal authentication using biometric information is becoming more essential in applications of public security, access control, forensics, banking, etc.

"e;Mobile Speech and Advanced Natural Language Solutions"e; presents the discussion of the most recent advances in intelligent human-computer interaction, including fascinating new study findings on talk-in-interaction, which is the province of conversation analysis, a subfield in sociology/sociolinguistics, a new and emerging area in natural language understanding.

Communications, Signal Processing, and Systems is a collection of contributions coming out of the International Conference on Communications, Signal Processing, and Systems (CSPS) held August 2012.

This work addresses the topic of optical networks cross-layer design with a focus on physical-layer-impairment-aware design.

Digital Functions and Data Reconstruction: Digital-Discrete Methods provides a solid foundation to the theory of digital functions and its applications to image data analysis, digital object deformation, and data reconstruction.

Fast Compact Algorithms and Software for Spline Smoothing investigates algorithmic alternatives for computing cubic smoothing splines when the amount of smoothing is determined automatically by minimizing the generalized cross-validation score.

This book describes a unique approach to smart receiver system design.

In Monitoring Adaptive Spoken Dialog Systems, authors Alexander Schmitt and Wolfgang Minker investigate statistical approaches that allow for recognition of negative dialog patterns in Spoken Dialog Systems (SDS).

"e;Designing for Network and Service Continuity in Wireless Mesh Networks"e; describes performance predictability of the new wireless mesh network paradigm, and describes considerations in designing networks from the perspective of survivability and service continuity metrics.

Optical Interconnects in Future Data Center Networks covers optical networks and how they can be used to provide high bandwidth, energy efficient interconnects for future data centers with increased communication bandwidth requirements.

This thesis discusses the privacy issues in speech-based applications such as biometric authentication, surveillance, and external speech processing services.

Data driven methods have long been used in Automatic Speech Recognition (ASR) and Text-To-Speech (TTS) synthesis and have more recently been introduced for dialogue management, spoken language understanding, and Natural Language Generation.

Introducing Spoken Dialogue Systems into Intelligent Environments outlines the formalisms of a novel knowledge-driven framework for spoken dialogue management and presents the implementation of a model-based Adaptive Spoken Dialogue Manager(ASDM) called OwlSpeak.

Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders provides a survey of methods designed to aid clinicians in the diagnosis and monitoring of speech disorders such as dysarthria and dyspraxia, with an emphasis on the signal processing techniques, statistical validity of the results presented in the literature, and the appropriateness of methods that do not require specialized equipment, rigorously controlled recording procedures or highly skilled personnel to interpret results.

Wireless Distributed Computing and Cognitive Sensing defines high-dimensional data processing in the context of wireless distributed computing and cognitive sensing.

Graph Embedding for Pattern Recognition covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision.

Soft Computing Approach to Pattern Classification and Object Recognition establishes an innovative, unified approach to supervised pattern classification and model-based occluded object recognition.

The use of digital signal processing is ubiquitous in the field of physiology and biomedical engineering.

The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today.

This book addresses propagation phenomena in satellite, radar, broadcasting, short range , trans-horizon and several recent modes of communications in radio links.

This book focuses on the problem of video streaming over emerging cognitive radio (CR) networks.

This book describes a variety of current feedback operational amplifier (CFOA) architectures and their applications in analog signal processing/generation.

"e;Emotion Recognition Using Speech Features"e; provides coverage of emotion-specific features present in speech.

This book describes innovative techniques and the theoretical background for design and analysis of high performance RF/Microwave transmitters.

This book describes the fundamentals of data acquisition systems, how they enable users to sample signals that measure real physical conditions and convert the resulting samples into digital, numeric values that can be analyzed by a computer.

Computer processing and image analysis technologies have improved substantially over the course of the past decade.

Over the last 50 years there have been an increasing number of applications of algebraic tools to solve problems in communications, in particular in the fields of error-control codes and cryptography.

This book presents various video processing methodologies that are useful for distance education.

Covering some of the most cutting-edge research on the delivery and retrieval of interactive multimedia content, this volume of specially chosen contributions provides the most updated perspective on one of the hottest contemporary topics.

Time-of-Flight Cameras and Microsoft Kinect(TM) closely examines the technology and general characteristics of time-of-flight range cameras, and outlines the best methods for maximizing the data captured by these devices.

This book describes a communication paradigm that could shape the future of wireless communication networks, Opportunistic Spectrum Access (OSA) in Cognitive Radio Networks (CRN).

This book focuses on various Passive optical networks (PONs) types, including currently deployed Ethernet PON (EPON) and Gigabit PON (GPON) as well as next generation WDM PON and OFDM PON.

In the fourth edition of Adaptive Filtering: Algorithms and Practical Implementation, author Paulo S.

Routing in Opportunistic Networks focuses on the basics of opportunistic networks, modeling and communication in opportunistic networks, routing in opportunistic networks, and collaboration and cooperation in opportunistic networks.

This book describes the use of low-power low-cost and extremely small radios to provide essential time reference for wireless sensor networks.

In the second edition of Electronics for Guitarists author Denton Dailey teaches the basic theory of operation and design principles of analog guitar signal processing circuits and amplifiers.

This book presents innovative solutions in the design of precision instrumentation amplifier and read-out ICs, which can be used to boost millivolt-level signals transmitted by modern sensors, to levels compatible with the input ranges of typical Analog-to-Digital Converters (ADCs).

This book describes medical imaging systems, such as X-ray, Computed tomography, MRI, etc.

Existing software applications should be redesigned if programmers want to benefit from the performance offered by multi- and many-core architectures.

This book provides anyone needing a primer on random signals and processes with a highly accessible introduction to these topics.

This book presents a comprehensive, systematic approach to the development of vision system architectures that employ sensory-processing concurrency and parallel processing to meet the autonomy challenges posed by a variety of safety and surveillance applications.

Multiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems.

Signals and Transforms in Linear Systems Analysis covers the subject of signals and transforms, particularly in the context of linear systems theory.

This book presents a new filter design approach and concentrates on the circuit techniques that can be utilized when designing continuous-time low-pass filters in modern ultra-deep-submicron CMOS technologies for integrated wideband radio receivers.

This vital new resource offers engineers and researchers a window on important new technology that will supersede the barcode and is destined to change the face of logistics and product data handling.