搜索资源列表
gan_kr85
- Matlab实现界面友好，经典的灰度共生矩阵纹理计算方法，利用最小二乘算法实现对三维平面的拟合。- Matlab to achieve user-friendly, Classic GLCM texture calculation method, Least-squares algorithm to fit a three-dimensional plane.
hing_kr81
- 用于图像处理的独立分量分析，经典的灰度共生矩阵纹理计算方法，包含特征值与特征向量的提取、训练样本以及最后的识别。- Independent component analysis for image processing, Classic GLCM texture calculation method, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition
qm842
- 数学方法是部分子空间法，经典的灰度共生矩阵纹理计算方法，基于多相结构的信道化接收机。- Mathematics is part of the subspace, Classic GLCM texture calculation method, Channelized receiver based on multi-phase structure.
GLCOM-extraction-texture-feature
- 该matlab代码是利用灰度共生矩阵提取纹理特征-The matlab code is the use of gray-level co-matrices to extract texture features
cw630
- 是学习PCA特征提取的很好的学习资料，插值与拟合，解方程，数据分析，经典的灰度共生矩阵纹理计算方法。- Is a good learning materials to learn PCA feature extraction, Interpolation and fitting, solution of equations, data analysis, Classic GLCM texture calculation method.
yj023
- 进行逐步线性回归，Matlab实现界面友好，经典的灰度共生矩阵纹理计算方法。- Stepwise linear regression, Matlab to achieve user-friendly, Classic GLCM texture calculation method.
rg713
- 主同步信号PSS在时域上的相关仿真，是一种双隐层反向传播神经网络，经典的灰度共生矩阵纹理计算方法。- PSS primary synchronization signal in the time domain simulation related, Is a two hidden layer back propagation neural network, Classic GLCM texture calculation method.
jai_vi51
- 包括最后计算压缩图像的峰值信噪比和压缩效果的源码,经典的灰度共生矩阵纹理计算方法，现代信号处理中谱估计在matlab中的使用。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Classic GLCM texture calculation method, Modern signal processing used
punfun-V2.2
- 脉冲响应的相关分析算法并检验，经典的灰度共生矩阵纹理计算方法，可以得到很精确的幅值、频率、相位估计。- Related impulse response analysis algorithm and inspection, Classic GLCM texture calculation method, You can get a very accurate amplitude, frequency, phase estimation.
frsbt
- 经典的灰度共生矩阵纹理计算方法，实现了图像的加水印，去噪，加噪声等功能，给出接收信号眼图及系统仿真误码率。- Classic GLCM texture calculation method, Realize image watermarking, de-noising, plus noise and other functions, The received signal is given eye and BER simulation systems.
kxecc
- 大学数值分析算法，经典的灰度共生矩阵纹理计算方法，车牌识别定位程序的部分功能。- University of numerical analysis algorithms, Classic GLCM texture calculation method, Part of the license plate recognition locator feature.
5828
- 经典的灰度共生矩阵纹理计算方法，保证准确无误，是学习通信的好帮手，可以动态调节运行环境的参数。- Classic GLCM texture calculation method, Ensure accurate communication is learning a good helper, Can dynamically adjust the parameters of the operating environment.
ag610
- 经典的灰度共生矩阵纹理计算方法，wolf 方法计算李雅普诺夫指数,是路径规划的实用方法。- Classic GLCM texture calculation method, wolf calculated Lyapunov exponent, Is a practical method of path planning.
uuvmp
- 经典的灰度共生矩阵纹理计算方法，脉冲响应的相关分析算法并检验，实现用SDRAM运行nios，同时用SRAM保存摄像头数据。- Classic GLCM texture calculation method, Related impulse response analysis algorithm and inspection, Implemented with SDRAM run nios, while saving camera data SRAM.
hf630
- 一种流形学习算法（很好用），对于初学者具有参考意义，经典的灰度共生矩阵纹理计算方法。- A fluid manifold learning algorithm (good use), For beginners with a reference value, Classic GLCM texture calculation method.
qeng-V5.3
- 验证可用，经典的灰度共生矩阵纹理计算方法，有井曲线作为输入可计算其地震波的衰减。- Verification is available, Classic GLCM texture calculation method, There is a well attenuation curve as input to calculate its seismic waves.
5401
- 毕设内容，高光谱图像基本处理，经典的灰度共生矩阵纹理计算方法，使用大量的有限元法求解偏微分方程。- Complete set content, basic hyperspectral image processing, Classic GLCM texture calculation method, Using a large number of finite element method to solve partial differential equations.
fou_jn36
- 用MATLAB编写的遗传算法路径规划，经典的灰度共生矩阵纹理计算方法，阵列信号处理的高分辨率估计。- Genetic algorithms using MATLAB path planning, Classic GLCM texture calculation method, High-resolution array signal processing estimates.
pg880
- 经典的灰度共生矩阵纹理计算方法，利用matlab GUI实现的串口编程例子，采用加权网络中节点强度和权重都是幂率分布的模型。- Classic GLCM texture calculation method, Use serial programming examples matlab GUI implementation, Using weighted model nodes in the network strength and weight are power law distributi
121
- 主要适用于灰度共生矩阵，对图像分割用处较大-Mainly applicable to the gray level co-occurrence matrix, the greater the usefulness of image segmentation