Compression of Pseudo-periodic Signals Using 2D Wavelet Transform
نویسندگان
چکیده
منابع مشابه
Compression of Pseudo-periodic Signals Using 2D Wavelet Transform
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 ...
متن کاملQuality-Controlled Compression Method using Wavelet Transform for Electrocardiogram Signals
This paper presents a new Quality-Controlled, wavelet based, compression method for electrocardiogram (ECG) signals. Initially, an ECG signal is decomposed using the wavelet transform. Then, the resulting coefficients are iteratively thresholded to guarantee that a predefined goal percent root mean square difference (GPRD) is matched within tolerable boundaries. The quantization strategy of ext...
متن کاملImage Compression Using Wavelet Transform
1 Abstract The wavelet transform shows a lot of promise in image compression. Very high compression rates are achieved by using wavelet transform prior to quan-tization and entropy coding. This report discusses how wavelets can be used in image compression. This report handles the problem from an engineer's perspective. I am conndent that this report can be used for writing a primitive wavelet ...
متن کاملCompression of Finite Duration Ecg Signals Based on Wavelet Transform
An example of application of the wavelet transform to electrocardiography is described in the paper. The transform is exploited as a first stage of an ECG signal compression algorithm. The signal is decomposed into particular time-frequency components. Some of the components are removed because of their low influence to signal shape due to nonstationary character of ECG. Resulted components are...
متن کاملDiscrete Wavelet Transform in Compression and Filtering of Biomedical Signals
Biomedical signals are a kind of signals that are measured from a specific part of the body, for example from the hearth (electrocardiography: ECG), muscles (electromyography: EMG) and brain (electroencephalography: EEG). This kind of signals have a no-stationary behavior, it means the behavior through the time is changing every time window. For this reason, the pre-processing, processing, and ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: American Journal of Signal Processing
سال: 2012
ISSN: 2165-9354
DOI: 10.5923/j.ajsp.20110102.08