@inproceedings{7e3fc2ead6104be49c86fd2a339efde1,
title = "FPGA Based Implementation and Area Performance Analysis of Sigma-Delta Modulated Steepest Algorithm for Channel Equalization",
abstract = "FPGA is now a common approach for implementing a wide range of DSP systems from simple to complex. Sigma-delta modulation (SDM) technique in combination with short word-length systems is attractive for almost all DSP applications. In this work, we design an adaptive channel equalizer on MATLAB and FPGA using sigma-delta modulation techniques to implement an improved steepest descent algorithm. Further, for functional validation and area performance analysis, the design is compared with its corresponding multi-bit implementation. The area-performance analysis validates the SDM as a useful technique for word length reduction.",
keywords = "Adaptive filters, Channel-Equalization, FP Ga, MATLAB, Sigma-Delta Modulation",
author = "Memon, {Tayab D.} and Aneela Pathan and Paul Beckett",
note = "Funding Information: This research work is supported by Higher Education Commission under the National Research Program for Universities (NRPU) grant and National Center for Robotics and Automation (RCRA) lab titled {\textquoteleft}Haptics, Human Robotics and Condition Monitoring Systems{\textquoteright}, Mehran University of Engineering and Technology, Jamshoro. Publisher Copyright: {\textcopyright} 2018 IEEE.; 12th International Conference on Signal Processing and Communication Systems, ICSPCS 2018 ; Conference date: 17-12-2018 Through 19-12-2018",
year = "2019",
month = jan,
day = "31",
doi = "10.1109/ICSPCS.2018.8631710",
language = "English",
series = "2018, 12th International Conference on Signal Processing and Communication Systems, ICSPCS 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Wysocki, {Tadeusz A} and Wysocki, {Beata J}",
booktitle = "2018, 12th International Conference on Signal Processing and Communication Systems, ICSPCS 2018 - Proceedings",
}