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 the speech processing and recognition to recognition of non-speech sounds that can be attributed to the surrounding environment.
The book also includes sections on applications of error control coding, information theory, and digital signal processing for communication systems like modulation, software-defined radio, and channel estimation.
Advanced Signal Processing for Communication Systems is written for researchers working on communication systems and signal processing, as well as telecommunications industry professionals.

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.