JPEG2000 is the latest international standard for compression of still images. Although the JPEG2000 codec is designed to compress images, we illustrate that it can also be used to compress other signals. As an example, we illustrate how the JPEG2000 codec can be used to compress electrocardiogram (ECG) data. Experiments using the MITBIH arrhythmia database illustrate that the proposed approach...

The WSNs are developed to sense, gather, process and transmit the real-world information and so in recent years, solving numerous challenges of wireless sensor networking are considered intensely. In addition, in Wireless Multimedia Sensor Networks intraand intersignal correlations can be exploited in the theory of distributed source coding and similarly in distributed compressive sensing to co...

UNLABELLED The number of human genomes that have been sequenced completely for different individuals has increased rapidly in recent years. Storing and transferring complete genomes between computers for the purpose of applying various applications and analysis tools will soon become a major hurdle, hindering the analysis phase. Therefore, there is a growing need to compress these data efficien...

Due to bandwidth constraints on the wireless link in an IP network, it is useful to compress the headers so as to maximize the utilization of the link. Different Header Compression schemes have been proposed. Some make use of the similarity in consecutive headers in a packet flow to compress these headers. These are called here time compression, as they acquire the compression information over ...

A surgical compress retained in the abdominal cavity following surgery is a serious problem. Here, we describe a 33-year-old female who was admitted with abdominal pain, vomiting, no passage of gas or feces, and abdominal distension for 3 days. She had a splenectomy at another medical center 4 years previously. An upright plain abdominal film revealed small bowel obstruction with marked small b...

Lossless sequential data compression techniques are well-known. Such techniques work best on data with repetition in its sequential representation. One might wish to compress data that can possess non-sequential repetitive structure, for example, first-order terms. Sequential techniques often do not compress such data well. This paper presents improved compression techniques that can take advan...

We analyze the achievable rate of the superposition of block Markov encoding (decode-and-forward) and side information encoding (compress-and-forward) for the three-node Gaussian relay channel. It is generally believed that the superposition can out perform decode-and-forward or compress-and-forward due to its generality. We prove that within the class of Gaussian distributions, this is not the...