Blind Compensation of Non Linear Channels | Blindly Compensating Nonlinear distortions in the band-limited signals

Waheeb Butt

ISBN 10: 3846502634 / ISBN 13: 9783846502631

Published by LAP LAMBERT Academic Publishing, 2011

About this Item

Blind Compensation of Non Linear Channels | Blindly Compensating Nonlinear distortions in the band-limited signals | Waheeb Butt | Taschenbuch | 68 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846502631 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 106773162

Bibliographic Details

• Title: Blind Compensation of Non Linear Channels | Blindly Compensating Nonlinear distortions in the band-limited signals
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 3846502634
• ISBN 13: 9783846502631
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 119 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Non-linear distortions related to the band-limited signals results in the spectral spreading of the original signals, The proposed technique is to suppress the unwanted spectral contents with the help of Adaptive polynomial filtering. It is most useful in the scenarios where a direct access to the source or undistorted signals is not possible,either due to the cost factor involved or is not feasible at all. The developed algorithm is based on power series filter with adaptive coefficients blindly identified with LS criterion, and the Discrete Cosine Transform is used to get the spectral knowledge of the received signal, and finally the energy of the unwanted spectral contents are minimized, most efficiently to zero. In this book, memory less non linearity has been addressed and the signals are either periodic narrow band signals or the band limited speech signals, so the people working in these fields would find this work useful and it also provides a basis to work on the non linear distortions with memory, and in that case the non linear functions would be modeled using the Volterra series.

About the Author

Waheeb A Butt, MSc: BS Electronics Engineering, International Islamic University, Pakistan. MSc in Communication and Signal Processing with distinction from Newcastle University, UK. Looking forward to pursue a PHD in the communication technologies.