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chugao1
- 0基于语音信号特征：短时能量，短时过零率子带谱熵的语音信号的端点检测-0 endpoint detection based on speech signal characteristics: short-term energy, short-term zero-rate sub-band spectral entropy of speech signals
wenli
- MATLAB14个特征值的提取程序，包括能量、熵、对比度、相关性、逆差等14个特征值的程序。-MATLAB14 eigenvalue extraction program, including the energy, entropy, contrast, correlation, deficit 14 eigenvalues program.
Wavelet-Entropy
- 文中从小波变换的角度出发,通过在尺 度域上对信号能量的一种划分,引入了小波能谱与小波熵作为信号特征提取的特征量来反映系统信号的统计特征。实验结果表明,该算法能有效提取弹丸激波信号特征,速度快、准确率高,而且具有对噪声不敏感的优势。 -Paper, starting from the point of view of the wavelet transform, introduced by a division of the signal energy scale domain, wave
txhw3_wx2
- 计算医学图像基于灰度共生矩阵的9个纹理测度，包括能量，惯量，熵等-To calculate medical image 9 based on GLCM texture measures, including energy, inertia, entropy, etc.
sampleEntropy11
- 对轴承故障信号进行小波包分解，重构能量最大的频段信号，并对该重构信号计算样本熵-Decomposing the bearing fault signal using waveletpackage method ,and reconstruct the maximum energy frequency band ,and then accumulate the sample entropy of the reconstructed signal
Spectral_Entropy
- 连续语音端点检测，短时能量、过零率以及谱熵相结合，健壮性好，识别率高。阈值为自适应，可适合情况下语音端点检测。-Continuous speech endpoint detection, short-term energy, zero-crossing rate and spectral entropy, robustness, high recognition rate. The threshold adaptive, may be suitable for the case of voice
paper-of-VAD
- 语音端点检测的各种论文，包括MFCC、过零率、短时能量、小波以及谱熵等方法，对编写语音VAD算法有很大的帮助-Speech endpoint detection in a variety of papers, including MFCC, zero-crossing rate, short-term energy, wavelet and spectral entropy method, write voice VAD algorithm of great help
gongshengjuzheng1
- 共生矩阵特性解,用于图形图像处理，求图像熵，能量-Co-occurrence matrix features solutions for graphics, image processing, and image entropy, energy
MATLABprocedures
- MATLAB特征值的提取程序，包括能量熵、对比度和相关性等特征值的提取，非常好用。-MATLAB eigenvalue extraction procedures, including energy entropy, contrast and correlations eigenvalue extraction, very easy to use.
matlabConjugate-matrix
- 很好的括计算共生矩阵、对共生矩阵归一化、对共生矩阵计算能量、熵、惯性矩的程序。-Well, including co-occurrence matrix calculation of co-occurrence matrix normalization on the co-occurrence matrix calculation of energy, entropy, moment of inertia of the program.
62
- 对重分配小波尺度谱存在着时、频分辨率不能同时达到最佳及当振动信号中存在着能量较大的噪声时会降低其时频分布可读性的缺陷，提出一种基于参数优化和奇异值分解(SVD)提高重分配尺度谱时频分布可读性的方法。首先利用Shan— non熵方法优化重分配尺度谱基函数的时间．带宽积(TBP)，克服其时、频分辨率不能同时达到最佳的缺陷，再对重分配尺度谱 进行SVD降噪降低噪声干扰影响，提高时频分布的可读性。最后用该方法对仿真信号和滚动轴承故障信号进行了分析，结果表明该方法的时频聚集性更好，抗噪能力更强，能
meanandvariance
- 计算一幅灰度图像的灰度均值，方差，能量和熵。-Calculating a grayscale image gray value, variance, energy and entropy.
GrayGradinet
- 基于灰度共生矩阵计算熵值、相关性、能量、对比度-Calculate four directions on the GLCM, as well as angular second moment, entropy, contrast, uniformity
the-basic-analysis-of-speech
- 语音信号时频分析，包括语谱图，过零率，自编的自相关，以及最后用了三种方法（短时能量和过零率、谱熵法、Teager算子）进行端点检测，代码完整且测试通过-time and frequency domain analysis of speech signals,including spectrogram,rate of zerocrossing,autocorrelation.and three method of endpoint detection,especially the Teager
huidutidugongshengjuzhen.-
- 灰度共生矩阵（GLCM） 及matlab代码实现.计算四个共生矩阵P,取距离为1，角度分别为0,45,90,135.对共生矩阵计算能量、熵、惯性矩、相关4个纹理参数.-GLCM matlab
huidugongshengjuzhen
- 提取图像灰度共生矩阵的四个特征值能量，相关性，熵-Extract images GLCM four energy eigenvalues, correlation, entropy, etc.
Endpoint-detection
- 基于短时能量与过零率、倒谱特征和谱熵的三种语音端点检测-Endpoint detection
Texture
- 能够创建4个方向的灰度共生矩阵，并且计算能量、熵、对比度和相关性四种特征-Creating four directions can be achieved GLCM , and calculate the energy , entropy, contrast, and correlation characteristics of four kinds of mean
wavenengliang
- 小波分析语音信号并计算各IMF包络的能量熵-Wavelet analysis of vibration signals and calculate the energy entropy IMF envelope
GLMCandLBPextraction
- 第一个程序提取了图像灰度级为64的灰度共生矩阵，并计算了能量，熵，对比度，相关性，逆差矩这5个参数.第二个程序可以提取彩色图像的LBP纹理特征，可以提取采样点为8、16、24的统一模式（u2）、旋转不变模式（ri）、统一旋转不变模式（riu2）的LBP值。-The first program to extract a grayscale image GLCM 64, and calculate the energy, entropy, contrast, correlation, inverse