… Flowchart of the residual calculation and encoding phase of the current state of the art lossless
compression algorithm for floating-point data (dark grey) and our proposed method (light …

… ) processes, while lossless means that no data was lost during … that lossless compression
algorithms are used when data loss will not distort the intended information carried by the data …

… the lossless compression techniques based on various types of data like audio, text files etc
in terms of compression … a comparative analysis of these techniques for various data files ie …

… A typical example of lossless compression is Huffman data encoding algorithm. Lossy … data
string si. Therefore, paper centres on the study of given data encoding compression algorithm…

… The techniques are lossless and lossy methods. In the lossy, there is a loss of important
information during compression, but during lossless compression, there is no data that is lost. …

… need efficient compression algorithms to reduce the amount of data for flexible transmission
and efficient storage. The purpose of compression is to reduce the amount of data needed to …

… Lossless compression is a data compression method that allows the original data to be
rearranged from compressed data … most prominent lossless compression algorithms calculations (…

… In this paper, a comparative analysis is done for various compression techniques. Compression
techniques for lossless compression includes huffman coding and LZW coding. LZW …

… algorithm applied after it with the fact that it eliminates some redundant … of data processing
with notable results that can be very easily implemented and used in a lossless compression …