搜索资源列表
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
BSS
- 盲源分离算法的几篇文章应用 【基于独立分量分析的脑电中眼电伪迹消除】【基于负熵和智能优化的盲源分离方法】【基于小波消噪和盲源分离的信号奇异点检测方法】-Blind source separation algorithm applied 【several articles based on independent component analysis of EEG ocular artifact】 【intelligent optimization based on negative entr
BasedonWaveletTransformSingularityDetectionandDeno
- 基于小波变换的信号奇异性检测及去噪例程,希望对学习的同学有所帮助-Based on Wavelet Transform singularity detection and denoising routines, hope to help students learn
example1
- 基于小波变换的信号奇异性检测及去噪例程。-Based on Wavelet Transform Singularity Detection and Denoising routines.
iii_rgb
- a function that convert the rgb to iii format and vice versa it also take the singularity problem to account
example1
- 小波变换的信号奇异性检测及去噪例程，此码为matlab语言-Wavelet Transform Singularity Detection and Denoising routine
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.
wave1
- 自定义信号，用于梯形边界奇异点检测matlab代码， 和三个小波去噪分解的代码-Custom signal singularity detection for trapezoidal matlab code boundary, and three wavelet denoising decomposition code
Wavelet-transform--application
- 小波变换是近年来发展起来的一门新的数学分支 它适宜于分析研究信号的局部性质, 对 于图象数据压缩、奇性检测、非卷积型算子的化简及取样插值定理等方面都有着重要的应-Wavelet transform is developed in recent years a new branch of mathematics it suitable for the local nature of the signal analysis for image
Two-kinds-of-wavelet
- 小波变换是近年来发展起来的一门新的数学分支 它适宜于分析研究信号的局部性质, 对 于图象数据压缩、奇性检测、非卷积型算子的化简及取样插值定理等方面都有着重要的应-Wavelet transform is developed in recent years a new branch of mathematics it suitable for the local nature of the signal analysis for image
Eliminate-singularity
- 该程序是用小波变换对信号进行重构，从而对信号的突变部分即奇异点进行处理，再进行滤波，得到的信号要稳定许多。-The program is using wavelet transform for signal reconstruction, thus mutations in the signal processing part of the singular point, and then filtering the resulting signal to stabilize much.
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
Matlab
- Matlab小波变换对于奇异点的检测，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。-Matlab wavelet transform to singular point detection, the original signal is containing the singularity of the signal, to determine the singular point time, adopting haar wavel
multicontourlet-project-phase-1
- MCT is composed of two-stage filter banks similar to that of the contourlet transform (CT) [8]. The first stage filter banks implement multiwavelet decomposition, which capture the point singularity effectively, in contrast to the Laplacian p
Study-on-Choosing-Mother-Wavelet
- 该文介绍了小波变换及其用于信号奇异性检测的基本原理, 重点研究了信号奇异性检测中小波基( 又称母小波) 及尺度 的选择问题, 提出了规则性系数相似法, 即根据相似性, 可以用平滑的小波, 即规则性系数大的小波表示平滑的函数 用不平 滑的小波, 即规则性系数小的小波表示非平滑的函数。同时针对天然气管道泄漏检测这一具体的工程实例, 采用该方法对 管道发生微小泄漏时所产生的缓变信号进行了分析, 仿真实验验证了该方法的有效性和适用性。-Study on Choosing Mother Wav
Harmonic-Wavelet-Analysis
- 首先给出了谐波小波时频剖面图检测含噪声信号的微弱奇异成分的方法 然后运用谐波小波时频剖面图方 法分析了碰摩故障仿真信号 最后利用该方法对多个实际汽轮机组动静碰摩故障的真实振动信号进行了分析研 究。结果表明, 谐波小波能够得到其它信号分析方法无法得到的特征, 有效识别机组的碰摩故障。-Harmonic wavelet time frequency profile plot is introduced firstly in practice to identify weak
3900001
- 本文研究的是利用奇异性指数实现对设备状态监视和故障预警功能。首先用LabVIEW 采集传感器电信号，然后对采集到的电信 号进行小波变换得到信号包络奇异点的奇异性指数，即设备运行状态的特征值-In this research project, we use LabVIEW to do wavelet-transformation to the signal collected by sensors in order to get singularity index from the sin
EOF
- 此程序用EOF方法分解原始数据矩阵，并可选择提出奇异点。-The program by EOF method decomposition raw data matrix, and can choose to put forward singularity.
MFDMA
- 使用MFDMA方法计算多重分形的广义Hurst指数及多重分形谱-The generalized Hurst exponent and singularity spectrum of the MFDMA method
1
- 试用小波变换的模极大值判断delta函数，节约函数和三角形函数的奇异性。-Trial wavelet transform modulus maxima determine the delta function, saving function and triangle function singularity.