搜索资源列表
norm_max
- Matlab 二进小波变换程序，求取模极大值程序-Matlab wavelet transform into two procedures, to strike maxima procedures
edge_detection
- 用matlab程序实现：小波模极大值用于边缘提取。对matlab中常用的woman图进行仿真，从最后的结果仿真图看出模极大值用于边缘检测的作用。
mjdzh
- 这是一个用模极大值算法对一维信号去噪的程序,信号重构采用经典的交替投影法.-This is a use of modulus maxima algorithm of one-dimensional signal de-noising procedure, signal reconstruction using the classical alternating projection method.
filter
- 模极大值滤波，对信号进行分解和重构。所采用信号是matlab自带信号。-Modulus maxima filtering, the signal decomposition and reconstruction. Signal is used in signal matlab own.
zonghe
- 该程序实现了基于小波模极大值，阈值去噪算法，并比较了各种方法的去噪效果。-The program achieved a de-noising based on wavelet modulus maxima algorithm, and effectively removes the signal in Gaussian white noise.
maichongsin2
- 该程序实现了基于小波模极大值去噪算法，并有效的去除了信号中的脉冲噪声。-The program achieved a de-noising based on wavelet modulus maxima algorithm, and effectively removes the signal of the impulse noise.
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
xbmojidazhidcdbyjc
- MATLAB编写，可以实现掌纹图像的边缘提取，基于小波模极大值边缘提取。-Image edge detection.
Denoise
- 小波模极大值法去噪的matlab源代码，内附demo例子-Wavelet Mod Denoising matlab SourceCode
rebuildresposebyridgeofwavelet
- 小波变换模极大值重建信号的matlab源程序，来源于胡广书的《现代信号处理教程》附属光盘-wavelet transform modulus maxima method wavelet transform modulus maximum method wavelet transform modulus maxima applying
4
- 小波变换模极大值重建信号的matlab源程序，来源于胡广书的《现代信号处理教程》-Matlab source wavelet transform modulus maxima reconstruction signal derived from HU-book " Modern signal processing tutorial"
wavelet-atlab-sources
- 小波变换模极大值重建信号的matlab源程序，来源于胡广书的《现代信号处理教程》附属光盘-Wavelet transform modulus maxima reconstruction signal matlab source code, derived from HU-book " modern signal processing tutorial subsidiary Disc
914000720135
- 生成C/A码，C/A 码是用 m 序列优选对组合形成的 Gold 码。Gold码是由两个长度相同而互相关极大值为最小的 m 序列逐位模2 相加所得到的码序列。(C/A code is to use m sequence optimization of combination to form Gold code. Gold code is made up of two same length and cross-correlation bitwise modulus maximum value i
Matlab runcode
- EMD（经验模态分解，全称Empirical Mode Decomposition，一般指EMD算法）是Hilbert-Huang变换（HHT）的核心算法。 经验模态分解(EMD)算法是通过算法过程定义的，而并非由确定的理论公式定义的，所以对其进行准确的理论分析非常困难，我们目前只能借助大量的数字仿真试验不断对其性能进行深入的研究。 EMD算法的目的在于将性能不好的信号分解为一组性能较好的本征模函数（IMFIntrinsic Mode Function ），且IMF须满足以下两个性质： (1
HHT20170301
- 希尔伯特黄变换 对暂态行波信号模极大值进行标定(The Hilbert yellow transform is calibrated to the maximum value of the transient traveling wave signal.)