搜索资源列表
evaluate_image
- 其中包含了几个评估图像质量的函数，分别从能量、熵和均方误差等方面来评价图像质量。-Which contains several image quality evaluation function, respectively, from the energy, entropy and mean square error, etc. to evaluate the image quality.
FEx_MP7_Texture_GLCM
- 灰度共生矩阵源代码，描述了能量，熵，相关性等5个量的值-GLCM source code, describes the energy, entropy, correlation between the amount of the value of the 5
11
- 为提高语音端点检测系统在低信噪(0 dB 以下) 下 检测的准确率, 提出了一种基于谱熵的端点检测算法。将每 帧信号分为16 个子带, 选取频谱分布在250～ 3. 5 kHz 并且 能量不超过该帧总能量90 的子带, 计算经过语音增强后的 子带能量以及各子带信噪比, 根据各子带信噪比的不同调整 其在整个谱熵计算过程中的权重, 然后平滑谱熵, 以最终的 谱熵作为端点检测的依据-To improve endpoint detection system in the low
huidugongshengjuzhen
- 主要是关于灰度共生矩阵应用，其中将灰度共生矩阵从0，45，90，135四个方向进行了计算，并对共生矩阵能量、熵、惯性矩、相关4个纹理参数进行了计算，十分有用。-Mainly on the GLCM application, which will GLCM from 0,45,90,135 four directions were calculated, and the co-occurrence matrix of energy, entropy, moment of inertia, rela
ls-svdls
- 最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。 -Least-squares method (also known as least squares) is a mathematical optimization techniques. It does thi
chip_histogram_features
- 此函数可以提取图像的均值、方差、偏度、峰度、能量和熵等特征值, 在图像处理和识别方面比较有用-This function can extract the images mean, variance, skewness, kurtosis, and other characteristics of the energy and entropy values , image processing and recognition in the more useful aspe
Iuseit
- 灰度共生矩阵特征参数，对共生矩阵计算能量、熵、惯性矩、相关4个特征值。-The GLCM characteristic parameters
gongshengjuzheng
- 用灰度共生矩阵提取五个纹理特征 包括：熵、均匀度、相关性、能量、对比度-Extraction of five GLCM texture characteristics，Include: entropy, uniformity, correlation, energy, contrast
lmn4op.ZIP
- 基于信息熵的无线传感器网络节点能量的汇报机制Based on the information entropy of the wireless sensor network node energy and reporting mechanism-Based on the information entropy of the wireless sensor network node energy and reporting mechanism
huidu
- 基于灰度共生矩阵对图片进行计算，可以的到熵、相关性、逆差距、能量等值-Picture is calculated based on the GLCM can to entropy, correlation, inverse gap, the energy equivalent
GLDM
- 基于灰度共生矩阵的纹理特征提取。特征参数为：熵，能量，-GLCM-based texture feature extraction. The characteristic parameters: entropy, energy,
graycopropswy
- 利用灰度共生矩阵提取SAR图像纹理特征，可提取：熵‘对比度、同质性、能量等特征。-GLCM to extract SAR image texture features can be extracted: entropy ' contrast, homogeneity, energy and other features.
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