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mao-xm85
- 一个计算声子晶体结构的一维传递矩阵法,意信号卷积的运算,并且绘制图象，用于特征降维，特征融合，相关分析等。- A one-dimensional transfer matrix method to calculate the phonon crystal structure, Convolution operation is intended to signal and image rendering, For feature reduction, feature fusion, correla
faibai_v44
- 完整的基于HMM的语音识别系统，一个计算声子晶体结构的一维传递矩阵法,用于信号特征提取、信号消噪。- Complete HMM-based speech recognition system, A one-dimensional transfer matrix method to calculate the phonon crystal structure, For feature extraction, signal de-noising.
dq736
- 用于图像处理的独立分量分析，一个计算声子晶体结构的一维传递矩阵法,是学习PCA特征提取的很好的学习资料。- Independent component analysis for image processing, A one-dimensional transfer matrix method to calculate the phonon crystal structure, Is a good learning materials to learn PCA feature extractio
auhww
- 用于特征降维，特征融合，相关分析等,使用高阶累积量对MPSK信号进行调制识别，一个计算声子晶体结构的一维传递矩阵法。- For feature reduction, feature fusion, correlation analysis, Using high-order cumulants of MPSK signal modulation recognition, A one-dimensional transfer matrix method to calculate the phono
xingzhuangbubianju
- 利用HU的七个不变矩作为形状特征向量,对输入图像数据的七维形状特征行向量进行提取。 - The seven invariant moments of HU are used as the shape feature vectors to extract the feature vectors of the seven dimensional shape of the input image data.
GLCM
- 批量处理图片，提取主要的四个纹理特征（能量、熵、惯性矩、相关性），并存入向量内(Batch processing pictures, extract the main four texture features (energy, entropy, moment of inertia, correlation), and put them into the vector.)
image recognition
- 分别采用有边缘和无边缘两类图像作为样本库，使用用Hu不变矩对图像进行特征提取，并使用K近邻分类法进行分类和识别。(Two types of images with edges and no edges are used as the sample library, the images are extracted using Hu invariant moments, and the images are classified and identified by K nearest neighb
Feature_extraction
- 用于运动人体的图像特征提取，提取的特征包括，高宽比，速度，紧密度，灰度共生矩阵，hu矩，主成分分析，离散余弦变化，图像的预处理等。(Image feature extraction for moving human body includes features such as aspect ratio, speed, tightness, gray level co-occurrence matrix, Hu moments, principal component analysis, disc
GLDM(2)
- 利用gldm提取图像纹理特征源代码，八维，含能量、熵、惯性矩、相关的均值和标准差(Image texture feature extraction using GLDM source code, eight dimensional, including energy, entropy, moment of inertia, the mean and standard deviation)
Texture feature extraction
- 灰度共生矩 阵即为灰度级的空间相关矩阵，以其为基础的统计方法通过对矩阵统计量的求取较好地提取到了纹理特征，通过选取关键参数编程并进行仿真实现，分别求取了四个方向的灰度共生矩阵及其特征量来分析图像 的纹理特征。(The gray level co-occurrence matrix is the gray level spatial correlation matrix. Based on the gray level co-occurrence matrix, the texture featu
garchsk
- Jondeau 、Leon 等提出自回归条件方差—偏度—峰度模型(GARCHSK)，用于同时描述收益率二阶矩、三阶矩和四阶矩的时变特征。此文件为该模型代码。(Jondeau, Leon et al. Proposed an autoregressive conditional variance-skewness-kurtosis model (GARCHSK), which was used to describe the time-varying characteristics of the
全新的子载波调制方式盲识别算法
- 提出一种全新的子载波调制方式盲识别算法,该算法利用OFDM子载波组的统计特性,然后通过推导得到新的基于混合高阶矩的特征量,使得到新的特征量不受信噪比、载波频偏与相位偏移的影响。