Advanced Signal Processing for Communication Systems

Advanced Signal Processing for Communication Systems consists of 20 contributions from researchers and experts. The first group of chapters deals with the audio and video processing for communications applications, including topics ranging from multimedia content delivery over the Internet, through...

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Bibliographic Details
Other Authors: Wysocki, Tadeusz (Editor), Darnell, Michael (Editor), Honary, Bahram (Editor)
Format: eBook
Language:English
Published: New York, NY Springer US 2002, 2002
Edition:1st ed. 2002
Series:The Springer International Series in Engineering and Computer Science
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • Application of Streaming Media in Educational Environments
  • Wideband Speech and Audio Coding in the Perceptual Domain
  • Recognition of Environmental Sounds Using Speech Recognition Techniques
  • A Novel Dual Adaptive Approach to Speech Processing
  • On the Design of Wideband CDMA User Equipment (UE) Modem
  • MMSE Performance of Adaptive Oversampling Linear Multiuser Receivers in CDMA Systems
  • Peak-to-Average Power Ratio of IEEE 802.11 a PHY Layer Signals
  • A Proposed Hangup Free and Self-Noise Reduction Method for Digital Symbol Synchronizer in MFSK Systems
  • A Channel Sounder for Low-Frequency Sub-Surface Radio Paths
  • Computational Complexity of Iterative Channel Estimation and Decoding Algorithms for GSM Receivers
  • Modeling and Prediction of Wireless Channel Quality
  • Packet Error Rates of Terminated and Tailbiting Convolutional Codes
  • The Feng-Rao Designed Minimum Distance of Binary Linear Codes and Cyclic Codes
  • On a Use of Golay Sequences for Asynchronous DS CDMA Applications
  • PUM-Based Turbo Codes
  • A Code for Sequential Traitor Tracing
  • Software-Defined Analyzer of Radio Signals
  • Interleaved PC-OFDM to Reduce Peak-to-Average Power Ratio
  • Reducing PAR and PICR of an OFDM Signal
  • Iterative Joint Equalization and Decoding Based on Soft Cholesky Equalization for General Complex Valued Modulation Symbols