Pub Date : 2015-02-12DOI: 10.1109/SOCC.2015.7406998
Yun Chen, Yuanzhou Hu, Yizhi Wang, Xiaoyang Zeng, David Huang
We propose an empirical compressed learning approach based on generalized approximate message passing (GAMP) for deterministic sensing matrix with low spark. The spark of a matrix is defined as the minimum number of correlated columns. In contrast to previous works, GAMP with independent and non-identically distributed Gaussian prior for the sparse signal to be estimated is used to avoid the over-fitting problem in the original GAMP. Specifically, we consider the discrete Fourier transform (DFT) sub-matrix as part of the sensing matrix which is common used in communication systems. Then we consider using the proposed approach to the estimation and mitigation of impulsive noise in orthogonal frequency division multiplexing (OFDM) systems utilizing null tones. Numerical results show that the performance of the proposed method is close to sparse Bayesian learning (SBL) for low spark DFT matrices and about 1dB performance gain in symbol error rate (SER) is observed over existing GAMP based approaches for Gaussian mixture interferences and more than 5dB gain at symbol error rate (SER) of 0.01 for stable-alpha-symmetric interference. The complexity is only O(Nlog2N), where N is the size of the signal to be estimated.
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Pub Date : 1900-01-01DOI: 10.1109/socc.2015.7406970
Y. Zorian
Dr. Yervant Zorian is a Chief Architect and Fellow at Synopsys. Formerly, he was a Distinguished Member of Technical Staff AT&T Bell Laboratories, Vice President and Chief Scientist of Virage Logic, and Chief Technologist at LogicVision. He is currently the President of IEEE Test Technology Technical Council (TTTC), the founder and chair of the IEEE 1500 Standardization Working Group, the Editor-in-Chief Emeritus of the IEEE Design and Test of Computers and an Adjunct Professor at University of British Columbia. He served on the Board of Governors of Computer Society and CEDA, was the Vice President of IEEE Computer Society, and the General Chair of the 50th Design Automation Conference (DAC) and several other symposia and workshops.
Yervant Zorian博士是Synopsys的首席建筑师和研究员。此前，他是AT&T Bell Laboratories的杰出技术人员，Virage Logic的副总裁兼首席科学家，以及LogicVision的首席技术专家。他目前是IEEE测试技术委员会(TTTC)主席，IEEE 1500标准化工作组的创始人和主席，IEEE计算机设计和测试的名誉主编，以及不列颠哥伦比亚大学的兼职教授。他曾在计算机协会和CEDA的理事会任职，是IEEE计算机协会的副主席，也是第50届设计自动化会议(DAC)和其他几个专题讨论会和研讨会的主席。
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