C
Chao Tian
Researcher at Texas A&M University
Publications - 210
Citations - 3655
Chao Tian is an academic researcher from Texas A&M University. The author has contributed to research in topics: Gaussian & Multiple description coding. The author has an hindex of 33, co-authored 200 publications receiving 3304 citations. Previous affiliations of Chao Tian include University of Tennessee & École Polytechnique Fédérale de Lausanne.
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Apparatus and method for providing three dimensional media content
TL;DR: A system that incorporates teachings of the exemplary embodiments may include means for generating a disparity map based on a depth map, means for determining accuracy of pixels in the depth map where the determining means identifies the pixels as either accurate or inaccurate based on the confidence map and the disparity map as discussed by the authors.
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Characterizing the Rate Region of the (4,3,3) Exact-Repair Regenerating Codes
TL;DR: A computer-aided proof approach based on primal and dual relation is developed, which extends Yeung's linear programming method, which was previously only used on information theoretic problems with a few random variables due to the exponential growth of the number of variables in the corresponding LP problem.
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Multiple Description Quantization Via Gram–Schmidt Orthogonalization
TL;DR: A systematic treatment of the El Gamal-Cover (EGC) achievable MD rate-distortion region is provided, and it can be decomposed into a simplified-EGC (SEGC) region and a superimposed refinement operation.
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Successive Refinement Via Broadcast: Optimizing Expected Distortion of a Gaussian Source Over a Gaussian Fading Channel
TL;DR: This work considers the problem of transmitting a Gaussian source on a slowly fading Gaussian channel, subject to the mean-squared error distortion measure, and proposes an efficient algorithm to compute the optimal solution in linear time, when the total number of possible discrete fading states is large.
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Layered Exact-Repair Regenerating Codes via Embedded Error Correction and Block Designs
TL;DR: A new class of exact-repair regenerating codes is constructed by stitching together shorter erasure correction codes, where the stitching pattern can be viewed as block designs, and it is shown that the proposed construction can achieve a nontrivial point on the optimal functional-repair tradeoff and is asymptotically optimal at high rate.