[go: up one dir, main page]

Lorio et al., 2004 - Google Patents

Analysis of data compression methods for power quality events

Lorio et al., 2004

Document ID
2666823963270294056
Author
Lorio F
Magnago F
Publication year
Publication venue
IEEE Power Engineering Society General Meeting, 2004.

External Links

Snippet

The use of digital technology for data acquisition and process of electric power quality events results in the growth the increase of available data, which need to be transferred and stored to be post, processed. Therefore much research has recently been carried out in the …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • H—ELECTRICITY
    • H03—BASIC ELECTRONIC CIRCUITRY
    • H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same information or similar information or a subset of information is represented by a different sequence or number of digits
    • H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
    • H03M7/40—Conversion to or from variable length codes, e.g. Shannon-Fano code, Huffman code, Morse code
    • H03M7/42—Conversion to or from variable length codes, e.g. Shannon-Fano code, Huffman code, Morse code using table look-up for the coding or decoding process, e.g. using read-only memory
    • H—ELECTRICITY
    • H03—BASIC ELECTRONIC CIRCUITRY
    • H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same information or similar information or a subset of information is represented by a different sequence or number of digits
    • H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
    • H03M7/40—Conversion to or from variable length codes, e.g. Shannon-Fano code, Huffman code, Morse code
    • H03M7/4031—Fixed length to variable length coding
    • H—ELECTRICITY
    • H03—BASIC ELECTRONIC CIRCUITRY
    • H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same information or similar information or a subset of information is represented by a different sequence or number of digits
    • H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
    • H03M7/3082—Vector coding
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signal, using source filter models or psychoacoustic analysis
    • G10L19/02—Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signal, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders
    • G10L19/0212—Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signal, using source filter models or psychoacoustic analysis using spectral analysis, e.g. transform vocoders or subband vocoders using orthogonal transformation

Similar Documents

Publication Publication Date Title
Stearns et al. Lossless compression of waveform data for efficient storage and transmission
Hamid et al. Wavelet-based data compression of power system disturbances using the minimum description length criterion
Huang et al. Application of arithmetic coding for electric power disturbance data compression with wavelet packet enhancement
Veenadevi et al. Fractal image compression using quadtree decomposition and huffman coding
Abo-Zahhad et al. An effective coding technique for the compression of one-dimensional signals using wavelet transforms
EP1350219A4 (en) Method and apparatus for the compression and decompression of image files using a chaotic system
Gupta et al. Data compression-lossless and lossy techniques
Belodedov et al. Development of an algorithm for optimal encoding of WAV files using genetic algorithms
Lorio et al. Analysis of data compression methods for power quality events
Hamid et al. Wavelet-based compression of power disturbances using the minimum description length criterion
Ravi et al. A study of various Data Compression Techniques
Thepade et al. New clustering algorithm for Vector Quantization using Slant transform
Ibrahim et al. A Chinese Remainder Theorem based enhancements of Lempel-Ziv-Welch and Huffman coding image compression
Ding et al. A real-time compression method of power system waveform data based on 2-D lifting wavelet transform and deflate algorithm
JP3968276B2 (en) Time series data compression / decompression apparatus and method
AHMED et al. Lightweight Image Compression Using Polynomial and Transform Coding
Carreto-Castro et al. Comparison of lossless compression techniques
Abo-Zahhad et al. ECG compression algorithm based on coding and energy compaction of the wavelet coefficients
Annalakshmi Lossy image compression techniques
Yuan et al. Power system fault data compression using the wavelet transform and vector quantification
Gurcan et al. Binary morphological subband decomposition for image coding
Babu et al. Efficient approach of run length coding technique using lossless grayscale image compression (E-RLC)
Finamore et al. Lossy Lempel-Ziv algorithm for large alphabet sources and applications to image compression
Gontijo et al. Segmentation and Entropy Coding Analysis of a Data Compression System for Power Quality Disturbances
Kakde et al. Lossless Data Compression Using Golumb Codes