搜索资源列表
atrous-plusBEMD
- 用atrous小波变换与EMD算法相结合的图像融合-Combination of image fusion with atrous wavelet transform and EMD algorithm
wvd
- 这是一个轴承故障分解程序，给予小波变换，小波去噪，小波重构与EMD相结合，有时频谱，边际谱，功率谱-This is a to bearing failure decomposition program given wavelet transform, wavelet denoising wavelet reconstruction combined with EMD, sometimes the spectrum, marginal spectrum, power spectrum
waveletEMDimproved
- 对信号进行小波分解预处理，之后对预处理后的信号进行EMD分解以及Hilbert变换，提取信号的瞬时频率-Wavelet decomposition pretreatment, with EMD after the preprocessed signal and the Hilbert transform of extracting a signal instantaneous frequency signal
waveletEMD
- waveletEMDimproved的原始版本，以小波软阈值降噪对信号进行预处理，对预处理后的信号进行EMD分解-the original version waveletEMDimproved, wavelet soft threshold denoising preprocessing the signal, signal pretreated with EMD
WPandEMD
- 小波包和EMD方法对信号分析后的频谱图比较，可以对EMD的运行参数进行修改。-Spectrum comparison of Wavelet package and EMD
quzao-EMDPxiaobo
- 分别利用EMD和小波进行降噪，并进行对比分析，内附经典论文。-Were carried out using the EMD and wavelet noise reduction, and a comparative analysis, containing classic papers.
EMDdenoise
- 一种基于EMD分解后对imf分量利用小波分解进行去噪的方法，给出了相应的例子，有注释-Based on the EMD decomposition after the imf component by using the method of wavelet decomposition denoising, corresponding examples are given, with comments
115
- 本文针对基于经验模态分解ＥＭＤ的时空滤波器存在的固有模态函数分量中频率混叠交叉导致有用信号与噪声一起被滤除的问题结合小波在时间尺度两域表征信号局部特征的特性提出了一种基于能量估计实现ＥＭＤ分解层数确定-In this paper, based on empirical mode decomposition EMD temporal filter mode functions inherent component of cross-frequency aliasing and noise toge
package_emd
- EMD对图像进行处理，与传统的小波去噪进行比较具有明显优势-EMD for image processing, and compares traditional wavelet de-noising has obvious advantages
3MATLABYUYIN
- 3.1语音信号的同态处理和倒谱分析30 3.1.1同态处理的基本原理30 3.1.2复倒谱和倒谱31 3.2离散余弦变换34 3.3Mel频率倒谱系数的分析37 3.3.1Mel滤波器组37 3.3.2MFCC特征参数提取38 3.4小波和小波包变换43 3.4.1小波变换43 3.4.2小波包变换44 3.4.3小波包算法45 3.4.4MATLAB中一维小波和小波包变换函数46 3.4.5MATLAB语音信号小波和小波包变换的例子49 3.
program
- 包括emd分解程序，求边际谱程序，hilbert包络解调程序，求取小波包频带能量程序，K均值聚类程序-fault diagnosis program
package_emd
- emd经验模态分解，适用于对含噪信号处理，优于小波去噪的信号去噪方法。-Empirical mode decomposition
xsj
- 关于一个轴承故障分解程序，里面包含小波去噪，重构等，还有EMD模态分解，并且还有各种功率谱仿真图-About a bearing failure decomposition process, which contains the wavelet de-noising, reconstruction, etc., as well as mode decomposition EMD, and there are a variety of power spectrum simulation map
1HIBERT
- hilbert提取心音包络.此程序包含心音信号的低通滤波、小波去噪、EMD分解、希尔伯特黄变换以及心音阈值定位一系列算法。-hilbert extract PCG envelope low pass filter This program contains heart sound signals, wavelet de-noising, EMD decomposition, Hilbert-Huang transform and heart sound threshold locate a se
pvtsmeha
- 包括调制，解调，信噪比计算，采用了小波去噪的思想，针对EMD方法的不足,本程序的性能已经超过其他算法，仿真效果非常好，粒子图像分割及匹配均为自行编制的子例程。- Includes the modulation, demodulation, signal to noise ratio calculation, Using wavelet denoising thought, For lack of EMD, This program has exceeded the performance of
nrzqbxkv
- 可以实现模式识别领域的数据的分类及回归，针对EMD方法的不足,模拟数据分析处理的过程，粒子图像分割及匹配均为自行编制的子例程，关于小波的matlab复合分析。- You can achieve data classification and regression pattern recognition, For lack of EMD, Analog data analysis processing, Particle image segmentation and matching subrou
hmtdwhij
- 包括调制，解调，信噪比计算，抑制载波型差分相位调制，实现典型相关分析，music高阶谱分析算法，随机调制信号下的模拟ppm，是小学期课程设计的题目，采用了小波去噪的思想，针对EMD方法的不足。- Includes the modulation, demodulation, signal to noise ratio calculation, Suppressed carrier type differential phase modulation, Achieve canonical corre
pjiuxxvs
- 最大似然（ML）准则和最大后验概率（MAP）准则，使用matlab实现智能预测控制算法，有小波分析的盲信号处理，是机器学习的例程，针对EMD方法的不足,应用小区域方差对比，程序简单。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Use matlab intelligent predictive control algorithm, There Wavelet Analysis Blind
aziqbfhr
- 包含了阵列信号处理的常见算法，包括面积、周长、矩形度、伸长度，随机调制信号下的模拟ppm，主要为数据分析和统计，matlab小波分析程序，针对EMD方法的不足,连续相位调制信号(CPM)产生。- Contains a common array signal processing algorithm, Including the area, perimeter, rectangular, elongation, Random ppm modulated analog signal under Ma
uiqdphgp
- 主要是基于mtlab的程序，各种资源分配算法实现，计算加权加速度,针对EMD方法的不足,仿真效果非常好，复化三点Gauss-lengend公式求pi，采用了小波去噪的思想。- Mainly based on the mtlab procedures, Various resource allocation algorithm, Weighted acceleration, For lack of EMD, Simulation of the effect is very good, Comple