Class Notes for ECE 7970

Convex Optimization Resources    |    Papers and Readings    |    Final Report

Convex Optimization Resources:

• Convex Optimization Course and Lecture Videos by Professor Stephen Boyd, Stanford University

• CVX Software by Michael Grant and Stephen Boyd

• Official SeDuMi Software Lehigh University

• Brief Introduction to CVX/SeDuMi by Zhen Hu (Please contact Zhen Hu for the slides)

09-03-2009:

    Slide:
    Statistical MIMO Radar.ppt

    Related Papers:

• Vahid Tarokh, Space-Time Block Coding for Wireless Communications: Performance Results, IEEE J. on Selected Areas in Comm, Vol. 17, No. 3, Mar, 1999

• David Gesbert, Mansoor Shafi, Da-shan Shiu, Peter J. Smith and Ayman Naguib, From Theory to Practice: An Overview of MIMO Space Time Coded Wireless Systems, IEEE J. on Selected Areas in Comm, Vol. 21, No. 3, Apr, 2003

• I. Emre Telatar, Capacity of Multi-antenna Gaussian Channels, European transactions on telecommunications, 1999

• Simon Haykin, Cognitive Radar, A Way of the Future, IEEE Sig. Proc. Mag., Vol. 30, 2006

• Hanan, Weingarten, Yossef Steinberg and Shlomo Shamai, The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel

09-17-2009:

• Presentation Assignments (ISI Channels)

11-05-2009:

Presentation Evaluation Form

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Presentation Assignments

• P. Setoodeh and S. Haykin, Robust Transmit Power Control for Cognitive Radio, Proc. of the IEEE, Vol. 97, No. 5, May, 2009

• Y.C. Eldar and N. Merhav, A Competitive Minimax Approach to Robust Estimation of Random Parameters, IEEE Trans. on Signal Processing, Vol. 52, No. 7, July, 2004

• Y.C. Eldar, Minimax Estimation of Deterministic Parameters in Linear Models with a Random Model Matrix, IEEE Trans. on Signal Processing, Vol. 54, No. 2, Feb. 2006

Other readings:

• Y.C. Eldar, Minimax MSE Estimation of Deterministic Parameters with Noise Covariance Uncertainties, IEEE Trans. on Signal Processing, Vol. 54, No. 1, Jan. 2006

• A. Beck, A. Ben-Tal and Y.C. Eldar, Robust Mean-Squared Error Estimation of Multiple Signals in Linear Systems Affected by Model and Noise Uncertainties, Math. Program., Ser. B, 2005

11-12-2009:

Presentation Assignments

• Y.C. Eldar, Uniformly Improving the Cramér-Rao Bound and Maximum-Likelihood Estimation, IEEE Trans. on Signal Processing, Vol. 54, No. 8, Aug. 2006

• Y.C. Eldar, MSE Bounds With Affine Bias Dominating the Cramér–Rao Bound, IEEE Trans. on Signal Processing, Vol. 56, No. 8, Aug. 2008

• Y.C. Eldar, A. Beck and M. Teboulle, A Minimax Chebyshev Estimator for Bounded Error Estimation, IEEE Trans. on Signal Processing, Vol. 56, No. 4, Apr. 2008

Other readings:

• Y.C. Eldar, Rethinking Biased Estimation: Improving Maximum Likelihood and the Cramer–Rao Bound, Foundations and Trends in Signal Processing, Vol. 1, No. 4, 2007

• J. Ma, Y. Li and B. H. Juang, Signal Processing in Cognitive Radio, Proceedings of the IEEE, Vol. 97, No. 5, May 2009

11-19-2009:

Support Vector Machine Papers

• C. Burges, A Tutorial on Support Vector Machines for Pattern Recognition, Data Mining and Knowledge Discovery, Springer, 2(2), 121-167, 1998

• Cortes, C., & Vapnik, V. (1995). Support vector networks, Machine Learning, 20, 273–297, 1995

   

   

Final Report

        Due date:

• Dec 10, 2009

        Requirements:

• Read papers regarding to one or some of the following topics and write a survey. The survey should be at least 10 pages in IEEE transaction format using Latex. Final submission should be in PDF format.

1. Convex Optimization

2. Cognitive Radio

3. Wireless Communications

4. Information Theory

        IEEE transaction format template:

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