Improved SVD-WDR compression with Gradient-based optimization on images

Kaur, Sachindeep; Bawa, Navneet

doi:10.1109/pdgc.2016.7913202

Cited by 1 publication

(1 citation statement)

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“…Experimental results demonstrate the effectiveness of this method in reducing the amount of data transmitted through the communication network. Reference [14] has proposed a combination method based on SVD and WD reduction for image compression. The results show that combining WD reduction with SVD can improve the compression ratio (CR).…”

Section: Introductionmentioning

confidence: 99%

A Dynamic and Parallel Two-Stage Lossless Data Compression Method for Smart Grid

Wu,

Xu,

et al. 2023

IEEE Access

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With the rapid development of smart grid (SG) technologies, massive system data has been generated for SG for grid operation status monitoring and fault warning, this massive integrated data has brought great challenges for data transmission and storage. Thus, the breakthrough of data compression technology has become more and more important for data processing, this proposal, a lossless data compression method is proposed. The proposed method improves the Lempel-Ziv-Welch (LZW) algorithm. Specifically, the proposed method employs a parallel search approach to search the index of the dictionary globally by dividing the dictionary into several small dictionaries of different sizes and bit widths. In addition, the dynamic variable-length coding method is used as the output code which can offer flexible bit widths instead of fixed values, and the optimal dictionary partition combination and size parameters are selected to construct dictionaries. At last, the improved algorithm is cascaded with Huffman algorithm to form the proposed data compression algorithm. The data compression efficiency has been successfully verified by comparing with conventional Huffman and LZW data compression algorithms through data simulation, and it is observed to offer a better compression ratio than those methods with only LZW algorithm or Huffman algorithm, and save storage space effectively. More than this, the proposed method has realized lossless compression for power system data and guaranteed the integrity of the data, which will have better applicability for dealing with any similar information data.INDEX TERMS Lossless data compression, smart grid, Huffman algorithm, LZW algorithm.

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Section: Introductionmentioning

confidence: 99%