Optimization tools have been recognized as extremely useful techniques in helping with addressing a wide range of engineering challenges. The Workshop on Optimization Techniques in Communications and Signal Processing aims at providing a platform to introduce optimization techniques and a variety of successful applications in communications and signal processing. Prospective authors are invited to submit original contributions, which include but not limited to the following topics of interest: Optimization theory and algorithms: Gradient optimization techniques Convex optimization and Lagrange duality Alternating projections Dynamic programming and sequential optimization Geometric programming Decomposition optimization methods and distributed algorithms Pareto optimization Applications: Compressive sensing and sparse representation Wireless communication Sensor/Ad hoc network Information theory and coding Speech/Image/Video processing Pattern classification and recognition Big data Circuits design
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