Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Optimal Erasure Protection Assignment for Scalable Compressed Data with Small Channel Packets and Short Channel Codewords | EURASIP Journal on Applied Signal Processing 2004 2 207-219 2004 Hindawi Publishing Corporation Optimal Erasure Protection Assignment for Scalable Compressed Data with Small Channel Packets and Short Channel Codewords Johnson Thie School of Electrical Engineering Telecommunications The University of New South Wales Sydney NSW 2052 Australia Email j. thie@. David Taubman School of Electrical Engineering Telecommunications The University of New South Wales Sydney NSW 2052 Australia Email Received 24 December 2002 Revised 7 July 2003 We are concerned with the efficient transmission of scalable compressed data over lossy communication channels. Recent works have proposed several strategies for assigning optimal code redundancies to elements in a scalable data stream under the assumption that all elements are encoded onto a common group of network packets. When the size of the data to be encoded becomes large in comparison to the size of the network packets such schemes require very long channel codes with high computational complexity. In networks with high loss small packets are generally more desirable than long packets. This paper proposes a robust strategy for optimally assigning elements of the scalable data to clusters of packets subject to constraints on packet size and code complexity. Given a packet cluster arrangement the scheme then assigns optimal code redundancies to the source elements subject to a constraint on transmission length. Experimental results show that the proposed strategy can outperform previously proposed code redundancy assignment policies subject to the above-mentioned constraints particularly at high channel loss rates. Keywords and phrases unequal error protection scalable compression priority encoding transmission image transmission. 1. INTRODUCTION In this paper we are concerned with reliable transmission of scalable data over lossy communication channels. For the last decade scalable compression .