Volume 23 Issue 4 • July 2006
Filter Results
-
IEEE Signal Processing Magazine - July 2006
Publication Year: 2006, Page(s): 01|
PDF (932 KB)
-
Table of contents - Vol 23 No4
Publication Year: 2006, Page(s): 1|
PDF (156 KB)
-
Where do special issues come from? [from the Editor]
Publication Year: 2006, Page(s): 2 -
Signal processing identity [President's message]
Publication Year: 2006, Page(s): 4 -
Hawaii 2007 ICASSP
Publication Year: 2006, Page(s): 5|
PDF (168 KB)
-
-
Multimedia and hip-hop for experiential education
Publication Year: 2006, Page(s):10 - 13 -
Distributed signal processing in sensor networks [from the guest Editors]
Publication Year: 2006, Page(s):14 - 15
Cited by: Papers (1) -
Channel-aware distributed detection in wireless sensor networks
Publication Year: 2006, Page(s):16 - 26
Cited by: Papers (174)This paper reviews the classical decentralized decision theory in the light of new constraints and requirements. The central theme that transcends various aspects of signal processing design is that an integrated channel-aware approach needs to be taken for optimal detection performance given the available resources. View full abstract»
-
Distributed compression-estimation using wireless sensor networks
Publication Year: 2006, Page(s):27 - 41
Cited by: Papers (211)This paper provides an overview of distributed estimation-compression problems encountered with wireless sensor networks (WSN). A general formulation of distributed compression-estimation under rate constraints was introduced, pertinent signal processing algorithms were developed, and emerging tradeoffs were delineated from an information theoretic perspective. Specifically, we designed rate-const... View full abstract»
-
Distributed fusion in sensor networks
Publication Year: 2006, Page(s):42 - 55
Cited by: Papers (108)This paper presents an overview of research conducted to bridge the rich field of graphical models with the emerging field of data fusion for sensor networks. Both theoretical issues and prototyping applications are discussed in addition to suggesting new lines of reasoning. View full abstract»
-
Distributed learning in wireless sensor networks
Publication Year: 2006, Page(s):56 - 69
Cited by: Papers (169)This paper discusses nonparametric distributed learning. After reviewing the classical learning model and highlighting the success of machine learning in centralized settings, the challenges that wireless sensor networks (WSN) pose for distributed learning are discussed, and research aimed at addressing these challenges is surveyed. View full abstract»
-
Sensing reality and communicating bits: a dangerous liaison
Publication Year: 2006, Page(s):70 - 83
Cited by: Papers (54)To illustrate the conceptual issues related to sampling, source representation/coding and communication in sensor networks, we review the underlying theory and discuss specific examples. We show how the structure of the distributed sensing and communication problem dictates new processing architectures. The key challenge lies in the discretization of space, time and amplitude, since most of the ad... View full abstract»
-
The interplay between signal processing and networking in sensor networks
Publication Year: 2006, Page(s):84 - 93
Cited by: Papers (50)This paper provides a signal processing perspective on large-scale sensor networks. It focuses on two characteristics of sensor networks: application specificity and energy constraint. The former requires that network protocols be designed for the application at hand, which is often signal processing in nature, and measured by application-specific metrics. The latter calls for novel distributed si... View full abstract»
-
Distributed video coding in wireless sensor networks
Publication Year: 2006, Page(s):94 - 106
Cited by: Papers (90)This paper addresses the important aspect of compressing and transmitting video signals generated by wireless broadband networks while heeding the architectural demands imposed by these networks in terms of energy constraints as well as the channel uncertainty related to the wireless communication medium. Driven by the need to develop light, robust, energy-efficient, and low delay video delivery s... View full abstract»
-
Search and discovery in an uncertain networked world
Publication Year: 2006, Page(s):107 - 118
Cited by: Papers (8)This paper identifies two classes of sensor network problems that arise naturally in many applications. Fusion problem involves correlated data over the sensor network, while search/sensor selection involves selecting sensors that have useful information. The paper also describes an adaptive decision making system, which feeds back the previous decisions of the sensor network to make more informed... View full abstract»
-
EURASIP Journal on Applied Signal Processing
Publication Year: 2006, Page(s): 119|
PDF (160 KB)
-
A personal history of the Viterbi algorithm
Publication Year: 2006, Page(s):120 - 142
Cited by: Papers (39)This paper describes how Andrew J. Viterbi developed a non-sequential decoding algorithm which proved useful in showing the superiority of convolutional codes over block codes for a given degree of decoding complexity. The Viterbi algorithm is now used in most digital cellular phones and digital satellite receivers as well as in such diverse fields as magnetic recoding, voice recognition, and DNA ... View full abstract»
-
ISSPA 2007 - Call for Papers
Publication Year: 2006, Page(s): 123|
PDF (219 KB)
-
-
IEEE Member Digital Library [advertisement]
Publication Year: 2006, Page(s): 127|
PDF (163 KB)
-
A signal processing application in genomic research: protein secondary structure prediction
Publication Year: 2006, Page(s):128 - 131
Cited by: Papers (5) -
Optical microscopic image processing of dendritic spines morphology
Publication Year: 2006, Page(s):132 - 135
Cited by: Papers (7) -
-
Wireless Communications [Book Review]
Publication Year: 2006, Page(s):138 - 142
Aims & Scope
IEEE Signal Processing Magazine publishes tutorial-style articles on signal processing research and applications, as well as columns and forums on issues of interest. Its coverage ranges from fundamental principles to practical implementation, reflecting the multidimensional facets of interests and concerns of the community. Its mission is to bring up-to-date, emerging and active technical developments, issues, and events to the research, educational, and professional communities. It is also the main Society communication platform addressing important issues concerning all members.
Meet Our Editors
Editor-in-Chief
Robert Heath
University of Texas at Austin
United States
http://www.ece.utexas.edu/people/faculty/robert-heath