[go: up one dir, main page]

Zhang et al., 2012 - Google Patents

Decomposition and compression for ECG and EEG signals with sequence index coding method based on matching pursuit

Zhang et al., 2012

Document ID
4943337594538690533
Author
Zhang H
et al.
Publication year
Publication venue
The Journal of China Universities of Posts and Telecommunications

External Links

Snippet

An efficient compression method is proposed by encoding the sequence index of atoms based on matching pursuit (MP) algorithm with over-complete Gabor dictionary, which has the merit to adjust the compression ratio (CR) according to the practical request with low …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00Speech 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
    • G10L19/02Speech 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
    • G10L19/0212Speech 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
    • HELECTRICITY
    • H03BASIC ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M7/00Conversion 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
    • H03M7/30Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations

Similar Documents

Publication Publication Date Title
Cárdenas-Barrera et al. A wavelet-packets based algorithm for EEG signal compression
CN109785847B (en) Audio compression algorithm based on dynamic residual error network
Sriraam Correlation dimension based lossless compression of EEG signals
TW201338756A (en) Electrocardiogram signal compression and de-compression system
Tang et al. Phonocardiogram signal compression using sound repetition and vector quantization
Zhang Decomposition and compression for ECG and EEG signals with sequence index coding method based on matching pursuit
Kumar et al. Electrocardiogram signal compression using singular coefficient truncation and wavelet coefficient coding
Li et al. Robust multichannel EEG compressed sensing in the presence of mixed noise
Kumar Jha et al. Diagnostic quality assured ECG signal compression with selection of appropriate mother wavelet for minimal distortion
Titus et al. A simple but efficient EEG data compression algorithm for neuromorphic applications
Gurkan Compression of ECG signals using variable-length classifıed vector sets and wavelet transforms
Nguyen et al. Wavelet transform and adaptive arithmetic coding techniques for EEG lossy compression
Padhy et al. Exploiting multi‐lead electrocardiogram correlations using robust third‐order tensor decomposition
Shinde et al. The comparison of different transform based methods for ECG data compression
Liu et al. Studying the effects of compression in EEG-based wearable sleep monitoring systems
Gürkan et al. EEG signal compression based on classified signature and envelope vector sets
Gnana Subha et al. An efficient algorithm based on combined encoding techniques for compression of ECG data from multiple leads
Sriraam Quality‐on‐Demand Compression of EEG Signals for Telemedicine Applications Using Neural Network Predictors
Zonoobi et al. On ECG reconstruction using weighted‐compressive sensing
Rajankar et al. Signal adaptive threshold for ECG signal compression using false discovery rate approach
Welba et al. Contribution to S-EMG signal compression in 1D by the combination of the modified discrete wavelet packet transform (MDWPT) and the discrete cosine transform (DCT)
CN104506198B (en) Heart Sound Signal Compression Algorithm Based on Repetitive Features
Kanhe et al. Wavelet-based compression of ECG signals
Al-Ajlouni Wavelet threshold-based ECG data compression technique using immune optimization algorithm
Singh et al. An improved ASCII character encoding method for lossless ECG compression