From the Publisher: 
The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

A summary of many of the new techniques developed in the last two decades for spectrum analysis of discrete time series is presented in this tutorial. An examination of the underlying time series model assumed by each technique serves as the common basis for understanding the differences among the various spectrum analysis approaches. Techniques discussed include the classical periodogram, classical Blackman-Tukey, autoregressive (maximum entropy), moving average, autotegressive-moving average, maximum likelihood, Prony, and Pisarenko methods. A summary table in the text provides a concise overview for all methods, including key references and appropriate equations for computation of each spectral estimate.

Spectrum analysis&#8212;A modern perspective

The recent advances in radio and em beddedsystem technologies have enabled the proliferation of wireless microsensor networks. Such wirelessly connected sensors are released in many diverse environments to perform various monitoring tasks. In many such tasks, location awareness is inherently one of the most essential system parameters. It is not only needed to report the origins of events, but also to assist group querying of sensors, routing, and to answer questions on the network coverage. In this paper we present a novel approach to the localization of sensors in an ad-hoc network. We describe a system called AHLoS (Ad-Hoc Localization System) that enables sensor nodes to discover their locations using a set distributed iterative algorithms. The operation of AHLoS is demonstrated with an accuracy of a few centimeters using our prototype testbed while scalability and performance are studied through simulation.

Dynamic fine-grained localization in Ad-Hoc networks of sensors

A vector quantizer is a system for mapping a sequence of continuous or discrete vectors into a digital sequence suitable for communication over or storage in a digital channel. The goal of such a system is data compression: to reduce the bit rate so as to minimize communication channel capacity or digital storage memory requirements while maintaining the necessary fidelity of the data. The mapping for each vector may or may not have memory in the sense of depending on past actions of the coder, just as in well established scalar techniques such as PCM, which has no memory, and predictive quantization, which does. Even though information theory implies that one can always obtain better performance by coding vectors instead of scalars, scalar quantizers have remained by far the most common data compression system because of their simplicity and good performance when the communication rate is sufficiently large. In addition, relatively few design techniques have existed for vector quantizers. During the past few years several design algorithms have been developed for a variety of vector quantizers and the performance of these codes has been studied for speech waveforms, speech linear predictive parameter vectors, images, and several simulated random processes. It is the purpose of this article to survey some of these design techniques and their applications.

Vector quantization

Information Theory and Reliable Communication

For a two-dimensional discrete cosine transform (DCT) image coding system, there have been different assumptions concerning the distributions of the transform coefficients. This paper presents results of distribution tests that indicate that for many images the statistics of the coefficients are best approximated by a Gaussian distribution for the DC coefficient and a Laplacian distribution for the other coefficients. Furthermore, from a simulation of the DCT coding System it is shown that the assumption that the coefficients are Laplacian yields a higher actual output signal-to-noise ratio and a much better agreement between theory and simulation than the Gaussian assumption.

Distributions of the Two-Dimensional DCT Coefficients for Images

The use of multiple transmit/receive antennas forming a multiple-input multiple-output (MIMO) system can significantly enhance channel capacity. This paper considers a V-BLAST-type combination of orthogonal frequency-division multiplexing (OFDM) with MIMO (MIMO-OFDM) for enhanced spectral efficiency and multiuser downlink throughput. A new joint data detection and channel estimation algorithm for MIMO-OFDM is proposed which combines the QRD-M algorithm and Kalman filter. The individual channels between antenna elements are tracked using a Kalman filter, and the QRD-M algorithm uses a limited tree search to approximate the maximum-likelihood detector. A closed-form symbol-error rate, conditioned on a static channel realization, is presented for the M=1 case with QPSK modulation. An adaptive complexity QRD-M algorithm (AC-QRD-M) is also considered which assigns different values of M to each subcarrier according to its estimated received power. A rule for choosing M using subcarrier powers is obtained using a kernel density estimate combined with the Lloyd-Max algorithm.

A QRD-M/Kalman filter-based detection and channel estimation algorithm for MIMO-OFDM systems

Scalar and vector Kalman filters are implemented for filtering speech contaminated by additive white noise or colored noise, and an iterative signal and parameter estimator which can be used for both noise types is presented. Particular emphasis is placed on the removal of colored noise, such as helicopter noise, by using state-of-the-art colored-noise-assumption Kalman filters. The results indicate that the colored noise Kalman filters provide a significant gain in signal-to-noise ratio (SNR), a visible improvement in the sound spectrogram, and an audible improvement in output speech quality, none of which are available with white-noise-assumption Kalman and Wiener filters. When the filter is used as a prefilter for linear predictive coding, the coded output speech quality and intelligibility are enhanced in comparison to direct coding of the noisy speech. >

Filtering of colored noise for speech enhancement and coding

From the Publisher:
The Mobile Communications Handbook covers the entire field - from principles of analog and digital communications to cordless telephones, wireless local area networks (LANs), and international technology standards. The amazing scope of the handbook ensures that it will be the primary reference for every aspect of mobile communications.

Organized in two sections, The Mobile Communications Handbook first introduces the basic principles of analog and digital communications. Consisting of tutorial articles, this section provides background information and technical details, offering a solid foundation for the spectrum of mobile communications technology. The second part of the handbook consists of articles covering such topics as cellular mobile radio, personal communication systems, user location and addressing, wireless data, wireless LANs, and technology standards. New to the Second Edition:
Discussions on:
Rayleigh fading channelsSpace-time processingRadiolocation techniquesEnhancements in second generation systemsWireless video communicationsWireless ATMEvolving third generation standards

Plus updates on:
Wireless dataPower controlChannel assignmentDiversity techniquesError correction codingPseudonoise sequences

The Mobile Communications Handbook

PART I: BASIC PRINCIPLES Complex Envelope Representations for Modulated Signals, Leon W. Couch, II Sampling, Hwei P. Hsu Pulse Code Modulation, Leon W. Couch, II Probabilities and Random Variables, Michael O' Flynn Random Processes, Autocorrelation, and Spectral Densities, Lew E. Franks Queuing, Richard H. Williams Multiplexing, Martin S. Roden Pseudonoise Sequences, Tor Helleseth and P. Vijay Kumar D/A and A/D Convertors, Susan A.R. Garrod Signal Space, Rodger E. Ziemer Channel Models, David E. Smith Optimum Receivers, Geoffrey C. Orsak Telecommunications Standardization, Spiros Dimolitsas and Michael Onufry Forward Error Correction Coding, V.K. Bhargava and I.J. Fair Automatic Repeat Request, David Haccoun and Samuel Pierre Spread Spectrum Communications, Laurence B. Milstein and Marvin K. Simon Diversity, J. Paulraj Information Theory, Bixio Rimoldi and Reuiger Urbanke Digital Communication System Performance, Bernard Sklar Synchronization, Costas N. Georgihades Digital Modulation Techniques, Ezio Biglieri PART II: TELEPHONY POTS (Plain Old Telephone Service), A. Michael Noll FDM Hierarchy, Pierre Catala Analog Telephone Channels and the Subscriber Loop, Whitham D. Reeve Baseband Signalling and Pulse Shaping, Michael L. Honig and Melbourne Barton Channel Equalization, John G. Proakis PCM Codec Filters, Michael D. Floyd and Garth D. Hillman Digital Hierarchy, B.P. Lathi and Maynard A. Wright Line Coding, Joseph L. LoCicero and Bhasker P. Patel Telecommunications Network Synchronization, Madihally J. Narasimha Echo Cancellation, Giovanni Cherubini PART III: NETWORKS The OSI Seven-Layer Model, Fred Halsall Ethernet Networks, Ramesh R. Rao FDDI, Biao Chen, Wei Zhao, Nicholas Malcolm Broadband Local Area Networks, Joseph A. Bannister Multiple Access Methods, Izhak Rubin Routing and Flow Control, Rene L. Cruz Transport Layer, A. Udaya Shankar Gigabit Networks, Jonathan M. Smith Local Area Networks, Thomas G. Robertazzi Asynchronous Time Division Switching, Achille Pattavina Internetworking, Harrell J. Van Norman Architectural Framework for ATM Networks: Broadband Network Services, Gerald A. Marin, Raif O. Onvural Control and Management in Next Generation Networks: Challenges and Opportunities, A.R Modarressi and S. Mohan NEW! PART IV: OPTICAL Fiber Optic Communications Systems, Joseph C. Palais Optical Fibers and Lightwave Propagation, Paul Diament Optical Source for Telecommunications, N.K. Dutta and N. Choudhury Optical Transmitters, Alistair J. Price, Ken D. Pedrotti Optical Receivers, Richard G. Smith, B.L. Kasper Fiber Optic Connectors and Splices, William C. Young Passive Optical Components, Joseph C. Palais Semiconductor Optical Amplifiers, Daniel J. Blumenthal, Nitin C. Kothari Optical Amplifiers, Anders Bjarklev Coherent Systems, Shinji Yamashita Fiber Optic Applications, Chung-Sheng Li Wavelength Division Multiplexed Systems and Applications, Mari W. Maeda PART V: SATELLITE Geostationary Communications Satellites and Applications, Bruce R. Elbert Satellite Systems, Robert L. Douglas The Earth Station, David R. Pritchard Satellite Transmission Impairments, Louis J. Ippolito, Jr. Satellite Link Design, Peter P. Nuspl, Jahangir A. Tehrani The Calculation of System Temperature for a Microwave Receiver, Wilbur L. Pritchard Onboard Switching and Processing, Ahmed KJ Elhakeem Path Diversity, Curt A. Levis Mobile Satellite Systems, John Lodge and Michael Moher Satellite Antennas, Yeonhming Hwang and Youn Ho Choung Tracking and Data Relay Satellite System (TDRSS), Erwin C. Hudson PART VI: WIRELESS Wireless Personal Communications: A Perspective, Donald C. Cox Modulation Methods, Gordon L. St. uber Access Methods, Bernd-Peter Paris Rayleigh Fading Channels, Bernard Sklar Space-Time Processing, Arogyaswami J. Paulraj Location Strategies for Personal Communications Services, Ravi Jain, Yi-Bing Lin, and Seshadri Mohan Cell Design Principles, Michel Daoud Yacoub Microcellular Radio Communications, Raymond Steele Microcellular Reuse Patterns, Michel D. Yacoub and Paula R. C. Gomez NEW! Fixed and Dynamic Channel Assignment, Bijan Jabbari Radiolocation Techniques, Gordon L. St. uber and James J. Caffery, Jr. Power Control, Roman Pichna and Qiang Wang Enhancements in Second Generation Systems, Marc Delprat and Vinod Kumar The Pan-European Cellular System, Lajos Hanzo Speech and Channel Coding for North American TDMA Cellular Systems, Paul Mermelstein The British Cordless Telephone Standard: CT-, Lajos Hanzo Half-Rate Standards, Wai-Yip Chan, Ira Gerson, and Toshio Miki Wireless Video Communications, Madhukar Budagavi and Raj Talluri Wireless LANs, Suresh Singh Wireless Data, Allen H. Levesque and Kaveh Pahlavan Wireless ATM: Interworking Aspects, Melbourne Barton, Matthew Cheng, and Li Fung Chang Wireless ATM: QoS and Mobility Management, Bala Rajagopalan and Daniel Reininger An Overview of cdmaWCDMA, and EDGE, Tero Ojanpera and Steven D. Gray Multiple-Input Multiple-Output (MIMO) Wireless Systems, Helmut Bolcskei and Arogyaswami J. Paulraj NEW! Near-Instantaneously Adaptive Wireless Transceivers of the Near Future, Lie-Liang Yang and Lajos Hanz NEW! Ad-Hoc Routing Techniques for Wireless LANS, A.K. Elhakeen NEW! PART VII: SOURCE COMPRESSION Lossless Compression, Khalid Sayood, Nasir D. Memon Facsimile, Khalid Sayood, Nasir D. Memon Speech, Boneung Koo Video, Eric Dubois Audio Coding, Peter Noll Cable, Jeff Hamilton, Mark Kolber, Charles Schell, Len Taupier Video Servers, Narasimha Reddy, Roger Haskin Videoconferencing, Madhukar Budagavi PART VIII: DATA RECORDING Magnetic Storage, Jaekyun Moon Magnetic-Optical Disk Data Storage, Masud Mansuripur

Jerry D. Gibson

Papers

Distributions of the Two-Dimensional DCT Coefficients for Images

A QRD-M/Kalman filter-based detection and channel estimation algorithm for MIMO-OFDM systems

Filtering of colored noise for speech enhancement and coding

The Mobile Communications Handbook

The Communications Handbook