A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new class of two-channel biorthogonal filter banks and waveletbases
IEEE Transactions on Signal Processing
Embedded image coding using zerotrees of wavelet coefficients
IEEE Transactions on Signal Processing
Prioritized DCT for compression and progressive transmission of images
IEEE Transactions on Image Processing
Wavelet filter evaluation for image compression
IEEE Transactions on Image Processing
An improved privacy-preserving DWT-based collaborative filtering scheme
Expert Systems with Applications: An International Journal
Electrocardiogram Signal Compression Using Beta Wavelets
Journal of Mathematical Modelling and Algorithms
A comparative study of wavelet families for classification of wrist motions
Computers and Electrical Engineering
Beta wavelet based ECG signal compression using lossless encoding with modified thresholding
Computers and Electrical Engineering
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Wavelets have emerged as powerful tools for signal coding especially bio-signal processing. Wavelet transform is used to represent the signal to some other time-frequency representation better suited for detecting and removing redundancies. A novel algorithm for wavelet based ECG signal coding is proposed in this paper. Experimental results show that this algorithm outperforms than other coders such as Djohn, EZW, SPIHT, etc., exits in the literature in terms of simplicity and coding efficiency by successive partition the wavelet coefficients in the space frequency domain and send them using adaptive decimal to binary conversion. Proposed algorithm is significantly more efficient in compression, simple in implementation and in computation than the previously proposed coders. This algorithm is tested for 26 different records from MIT-BIH arrhythmia database and obtained an average percent root mean square difference as around 0.01-4.8% for an average compression ratio of 2:1 to 35:1. A compression ratio of 8.5108:1 is achieved for MIT-BIH arrhythmia database record 117 with a percent mean square difference as 1.29%.