This paper presents the long data compression and the Cmos transistor count increased new fault technologies theses data compression the large data compression and storing the data are described, for provides high encoding efficiency and scalability with respect to the number of test channels support test channel the support algorithm is Viterbi-based test compression. Instead of using the line...

Although it is often noted that the process of data compression forms an illuminating metaphor for concept learning mechanisms, the computational basis of the metaphor is not usually made explicit. In this paper, an algorithm is described which implements climbing-tree inductive gener-alisation as a form of clustering process. The algorithm is correctly clas-siied as a generalised data compress...

Compressing sensor data benefits sensor network applications because compression saves both transmission energy and storage space. This paper presents a novel lossless compression algorithm for sensor networks that is both dataaware and resource-aware. The DARA algorithm provides high compression ratios and also has a small memory footprint and efficient execution well within the range of senso...

A wavelet ECG data codec based on the Set Partitioning In Hierarchical Trees (SPIHT) compression algorithm is proposed in this paper. The SPIHT algorithm [1] has achieved notable success in still image coding. We modified the algorithm for the one-dimensional (1-D) case and applied it to compression of ECG data. Experiments on selected records from the MIT-BIH arrhythmia database revealed that ...

We present a new differential compression algorithm that combines the hash value techniques and suffix array techniques of previous work. The term ‘‘differential compression’’ refers to encoding a file (a version file) as a set of changes with respect to another file (a reference file). Previous differential compression algorithms can be shown empirically to run in linear time, but they have ce...

A JBIG compliant, quadtree based, lossless image compression algorithm is described. In terms of the number of arithmetic coding operations required to code an image, this algorithm is signi cantly faster than previous JBIG algorithm variations. Based on this criterion, our algorithm achieves an average speed increase of more than 9 times with only a 5% decrease in compression when tested on th...

We compress the document image by the use of LZMA algorithm. It is stands for Lempel-Ziv-Markov chain algorithm. It is used for lossless compression. In pre-processing we remove the noise from the image. Then we apply the wavelet transform to the image. It will decompose the image. Here we quantize the image by the use of wavelet. It is more robust under transmission. For encoding process it wi...

Major issues in video data transfer over the internet are security and speed. For fast transmission over the network, the video data should be compressed before transmission. Joint compression and encryption algorithms employ compression before encryption for secured and fast data transfer over the internet. In this paper, a joint compression and encryption algorithm, Puzzle Fast Random Bit Enc...

Logging while drilling (LWD) is an advanced drilling technology in oil/gas exploration and development, which was developed to increase drilling efficiency and decrease drilling cost. The real-time logging data transmission by the limited transmission bandwidth is a key technology in LWD. Compressing logging data by some algorithm is an evident method to enhance data transmission. This paper in...

The wireless sensor network utilizes image compression algorithms like JPEG, JPEG2000, and SPIHT for image transmission with high coding efficiency. During compression, discrete cosine transform (DCT)–based JPEG has blocking artifacts at low bit-rates. But this effect is reduced by discrete wavelet transform (DWT)–based JPEG2000 and SPIHT algorithm but it possess high computational complexity. ...