Compression of Pseudo-periodic Signals Using 2D Wavelet Transform
نویسندگان
چکیده
An improved method to compress of pseudo-periodic 1-dimensional signals like voiced speech, music, ECG etc is suggested. The pitch synchronous property of such signals is utilized to increase the efficiency of compression, to minimize losses and thus to enhance the quality of the reconstruction. Results show higher signal to noise ratio, higher compression ratio and lower percentage distortion with the new method of 2-D compression as compared to 1-D compression. A new method employing the k-means clustering algorithm is used to determine the periodicity of signals.
منابع مشابه
A unified theoretical harmonic analysis approach to the cyclic wavelet transform (CWT) for periodic signals of prime dimensions
The article introduces cyclic dilation groups and finite affine groups for prime integers, and as an application of this theory it presents a unified group theoretical approach for the cyclic wavelet transform (CWT) of prime dimensional periodic signals.
متن کاملRobust SAR Image Compression using Bit Plane Encoder
SAR images are different from optical images in many ways. Therefore, the traditional compression methods, which have been used for compression, are not so efficient for the compression of the SAR images. Generally, 2-dimensional Fourier transform (2D-FT) is used for representing a complex SAR image. But the energy of the coefficients of 2D-FT on the complex SAR image distributes in the whole f...
متن کاملDamage Detection in Post-tensioned Slab Using 2D Wavelet Transforms
Earthquake force, loading more than structural capacity, cracking, material fatigue and the other unpredicted events were undeniable in the structure life cycle in order that environmental conditions of the structure would be changed and treats health. Damage of structures such as crack, corrosion of the post tension cables from inappropriate grouting of the post tension structures and etc. can...
متن کاملCompression and Decompression of Biomedical Signals
In this work, a novel ECG data compression method is presented which employs set partitioning in hierarchical trees algorithm(SPIHT) on two dimensional electrocardiogram(2D-ECG).The 2D ECG is a two dimensioned array, in which each row of this array indicates one or more period and amplitude[7] normalized ECG beats. When SPIHT algorithm is used to compress one or two-dimensional signals separate...
متن کاملPeriodic Wavelet Packet Implementation Applied to ECG Signals Coding
In this work we show a transform coding technique based on the discrete wavelet transform (DWT). In order to select the best base for each consecutively processed signal segment, we use periodic wavelet packets. Its main application is to encode long-term registers of digitized electrocardiogram signal (ECG), in order to reduce the bit rate. The twelve principal cardiac leads were tested obtain...
متن کامل