{"id":151362,"date":"2000-06-01T00:00:00","date_gmt":"2000-06-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/on-optimal-frame-expansions-for-multiple-description-quantization\/"},"modified":"2018-10-16T20:33:40","modified_gmt":"2018-10-17T03:33:40","slug":"on-optimal-frame-expansions-for-multiple-description-quantization","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/on-optimal-frame-expansions-for-multiple-description-quantization\/","title":{"rendered":"On optimal frame expansions for multiple description quantization"},"content":{"rendered":"
\n

We study the problem of finding the optimal overcomplete (frame) expansion and bit allocation for multiple description quantization of a Gaussian signal at high rates over a lossy channel. We provide a general analysis for the problem and solve it for the case of a 3X2 frame expansion.<\/p>\n<\/div>\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

We study the problem of finding the optimal overcomplete (frame) expansion and bit allocation for multiple description quantization of a Gaussian signal at high rates over a lossy channel. We provide a general analysis for the problem and solve it for the case of a 3X2 frame expansion.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"Institute of Electrical and Electronics Engineers, Inc.","msr_publisher_other":"","msr_booktitle":"Int'l Symp. on Information Theory","msr_chapter":"","msr_edition":"Int'l Symp. on Information Theory","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"\u00a9 2007 IEEE. Personal use of this material is permitted. However, permission to reprint\/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.","msr_conference_name":"Int'l Symp. on Information Theory","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Philip A. 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