搜索资源列表
tubian
- 利用多尺度小波分解侦测时间序列中奇异点位置-multiscale wavelet decomposition time sequence detection singular position
ECGrbojiance
- 一个用小波奇异点监测法来监测心电信号R波的例子，可用在其他信号的奇异点监测上。-a singular point wavelet monitoring method to monitor ECG R-wave example, other signals can be used in the singular point monitoring.
waveletxsfj
- 对信号进行小波变换，输出各尺度的小波系数，可以根据小波系数进行薄层测量和奇异点检测。-right signal wavelet transform, the output scale wavelet coefficients. according to TLC wavelet coefficients measured and singular point detection.
wave_max
- 小波变换极大值推算突变点的奇异度指标-wavelet transform maximum projection of singular point mutation indicator
breakpoint
- 用MATLAB小波工具箱实现的信号奇异点的检测-MATLAB toolbox realize the singular point of the signal detection
signalprocessing
- 文章讲诉的是小波在信号处理方面的应用，包括奇异点的检测，信号降噪等，有很全的原理介绍，有仿真程序和结论分析，具有一定的学习价值
singularitycwt
- 基于小波及复高斯小波的常见信号的奇异点分析
edge_detection
- 小波模极大值用于边缘提取,利用小波对奇异点处理,是很好的例子.
xinhaochuli
- 信号处理小波分析 1)计算信号的小波变换。 2)求出模极大曲线。 3)计算其中两个奇异点的Lipschitz指数。
wavelet_edge-detection
- 小波模极大值原理在图像边缘提取和信号奇异点检测中的应用
Wavelet-transform
- 原始信号是含有奇异点的信号，为确定该奇异点的时间，采用haar小波进行连续小波变换后，在对系数进行分析处理。-The original signal is containing singular point of the signal, in order to determine the singular point time, adopting haar wavelet to continuous wavelet transform, the coefficients in analyzed
wavelet_max
- 小波模极大值原理在图像边缘提取和信号奇异点检测中的应用-Wavelet Modulus Maxima Principle in Image Edge Detection and Signal Singularity Detection
wavelet_detect
- 极其经典的小波包分解程序，奇异点检测，附图说明-Most classical wavelet packet decomposition process, singular point detection, photo descr iption
waveletsingularitydetectionsigna
- 采用2进小波对1维信号的奇异点进行检测。小波模极大值位置就是奇异点的位置-A 2 into 1-dimensional wavelet singularity detection signal. Wavelet Modulus Maxima location is the location of singular points
wavelet
- matlab小波分析源程序，包含小波分解去噪，奇异点检测，实际工程中的故障检测，图像处理-matlab
gaijinxiaoboquzao
- 一篇关于小波奇异点的论文，很详细，改进的算法。-A paper on the wavelet singularity, in great detail, the improved algorithm.
waveletsignalsingularitydetection
- 应用matlab语言实现小波分析的检测分析信号的奇异点 db小波分解 重构-matlab wavelets
qiyidiandingwei
- 采用小波对信号进行分解，然后根据不同的分解层次的小波系数，判断信号的奇异点位置-Wavelet decomposition of the signal, and then broken down according to different levels of wavelet coefficients, determine the location of the signal singularity
waveletprogram
- 采用小波奇异点检测方法寻找光谱谱峰位置，用来确定光谱中谱峰位置，峰高，峰宽等相关等信息。(locate spectral peaks in the spectrum by a wavelet singularity detection method)
Lipschitz指数和模极大值
- 本程序主要用于求解信号小波变换后，信号奇异点处的李氏指数和模极大值，对信号的断点进行定量的描述，可用于信号故障诊断。(This program is mainly used to solve the Lie index and the modulus maxima at the signal singular point after signal wavelet transform, and quantitatively describe the breakpoint of the signal