Description: LastWave，开源项目，信号处理，跨平台，主要以小波应用为主，涉及图像处理和音频处理，非常好的源代码-LastWave is a signal processing oriented command language.
The 3.0 version is based on the GNU wxWidgets library. It allows LastWave to be truly multiplatform : it runs on both X11/Unix (or Linux of course) , Windows XP SP2 and Macintosh (OS X only) computers.It has been designed to be used by anybody who knows about signal processing and wants to play around with wavelets and wavelet-like techniques.
However, it can be used as a regular scripting language.
It mainly consists in a powerful command line language with matlab-like syntax which includes a high level object-oriented graphic language. It allows to deal with high-level structures such as signals, images, wavelet transforms, extrema representation, short time fourier transform,...
Display of all these complex structures is interactively controlled using the mouse or keyboard. The way it is controlled is described using the command language. Moreover, LastWave can generate postscript files of anything you draw.
Of c Platform: |
Size: 19403776 |
Author:danny |
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Description: 电压跌落是最严重的动态电能质量问题之一，
精确定位电压跌落起止时间是应对电压跌落问题的
重要前提和基础。由于电压采样信号往往有噪声分
量，现有的方法在定位电压跌落的起止时间时存在
局限性。本文提出利用多小波变换及相邻系数去噪
的电压跌落定位方法。多小波兼有对称性、正交性、
有限支撑性和二阶消失矩等优异的信号处理性能，
利用GHM多小波可以准确定位电压跌落起止时间。
多小波变换系数在每层之间具有对应关系，多小波
相邻系数将紧相邻的若干个系数作为一个整体来确
定阈值，考虑了系数之间的相关性，能获得更好的
去噪效果。通过 Matlab 进行仿真验证，仿真结果表
明，所提出的方法的正确性。
-Voltage sag is one of the most serious
dynamic power quality problems. Critical start-time
and end-time are important indices for voltage sags.
But the sampling signals often have noisy component,
the locations of start-time and end-time are hard to get.
Wavelet is an effective tool for those non-stationary
signal processing and has been used in this field. Local
feature in the signal can be enlarged after the
transformation using the scalar wavelet. But scalar
wavelets cannot contain orthogonality, symmetry,
compact support and higher order of vanishing
moments simultaneously. In this thesis, multi-wavelets
GHM is used to detect and locate power quality
disturbances. Multi-wavelets offer many excellent
properties such as the same approximation order but
more compact support. The dependence of the
multi-wavelets coefficients varies with the level, so
neighboring coefficien Platform: |
Size: 1363968 |
Author:李荣 |
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Search - Signal Processing with Wavelets in matlab