An Investigation of Lossless and Lossy Data Compression & Source Coding

This paper investigates the use of lossless and lossy records investigates and supply coding strategies for the compression of records and the coding of supply symbols. It discusses the numerous forms of compression, which include Huffman, arithmetic, Lempel-Ziv, and block-based totally, and examines the overall performance of those algorithms so one can determine which one is high-quality ideal for a given scenario. Similarly, the paper examines how some exclusive measurements may be used to evaluate the high quality of the information compression. The paper then explains the source coding techniques, along with run-period codes, Golomb codes, and commonplace codes, and gives an analysis of the way they can be used to reduce the scale of source symbols. In the end, the paper gives a top-level view of the sphere of statistics compression and supply coding and provides tips for further studying for those interested in further exploring the topic.