− The paper presents problems of compressing measurement signals recorded under long-lasting monitoring conditions. The criteria for compression method selection in view of its efficiency (compression ratio) and quality of conversion (coding-decoding procedure), with regard to dynamic properties of the measurement signals are discussed. Attention is given to the interdependence of the achieved ...

In this paper we investigate from a statistical point of view the expected compression ratio between the size of a minimal Deterministic Finite Cover Automaton (DFCA) and the size of the minimal corresponding Determinitic Finite Automaton (DFA). Using sound statistical methods, we extend the experimental study done in [16], thus obtaining a much better picture of the compression power of DFCAs....

The need for lossless data compression has grown significantly as the amount of data collected, transmitted, and stored has exploded in recent years. Enterprise applications and storage, such as web servers and databases, are processing this data and the computational burden associated with compression puts a strain on resources. To help alleviate the burden, we introduce an optimized industry ...

One of the prime challenges of testing a system-on-achip (SOC) is to reduce the required test data size. In this paper, we introduce a novel compression / decompression scheme based on geometric shapes that substantially reduces the amount of test data and reduces test time. The proposed scheme is based on ordering the test vectors in such a way that enables the generation of geometric shapes t...

Various implementation of the context tree algorithm have demonstrated that thisapproach to data compression is very successful. Recently the algorithm was also appliedto the problem of lossless still image compression. Although the compression ratio resultsare promising and belong to the best achieved, one needs a better understanding of themechanisms that cause that compre...

Compression is used about everywhere. Images are very important documents nowadays; to work with them in some applications they need to be compressed, more or less depending on the purpose of the application. There are various algorithms that performs this compression in different ways; some are lossless and keep the same information as the original image, some others loss information when comp...

An improved method to compress of pseudo-periodic 1-dimensional signals like voiced speech, music, ECG etc is suggested. The pitch synchronous property of such signals is utilized to increase the efficiency of compression, to minimize losses and thus to enhance the quality of the reconstruction. Results show higher signal to noise ratio, higher compression ratio and lower percentage distortion ...

Previous mesh compression techniques provide nice properties such as high compression ratio, progressive decoding, and out-of-core processing. However, none of them supports the random accessibility in decoding, which enables the details of any specific part to be available without decoding other parts. This paper introduces the random accessibility to mesh compression and proposes an effective...