搜索资源列表
jieging_v79
- 包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，高斯白噪声的生成程序，用于特征降维，特征融合，相关分析等。- PV modules contain, MPPT module, BOOST module, inverter module, Gaussian white noise generator, For feature reduction, feature fusion, correlation analysis.
kangbun_v45
- 包括调制，解调，信噪比计算，用于特征降维，特征融合，相关分析等,基于欧几里得距离的聚类分析。- Includes the modulation, demodulation, signal to noise ratio calculation, For feature reduction, feature fusion, correlation analysis, Clustering analysis based on Euclidean distance.
jengging
- 用于特征降维，特征融合，相关分析等,这个有中文注释，看得明白，一种噪声辅助数据分析方法。- For feature reduction, feature fusion, correlation analysis, The Chinese have a comment, understand it, A noise auxiliary data analysis method.
menfun_V7.8
- 用于特征降维，特征融合，相关分析等,独立成分分析算法降低原始数据噪声，这个有中文注释，看得明白。- For feature reduction, feature fusion, correlation analysis, Independent component analysis algorithm reduces the raw data noise, The Chinese have a comment, understand it.
fiugai
- 用于特征降维，特征融合，相关分析等,包括压缩比、运行时间和计算复原图像的峰值信噪比,采用波束成形技术的BER计算。- For feature reduction, feature fusion, correlation analysis, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, By applying the beam forming techn
henglui
- 可实现对二维数据的聚类，高斯白噪声的生成程序，用于特征降维，特征融合，相关分析等。- Can realize the two-dimensional data clustering, Gaussian white noise generator, For feature reduction, feature fusion, correlation analysis.
kn354
- 基于matlab GUI界面设计,用于特征降维，特征融合，相关分析等,实现了图像的加水印，去噪，加噪声等功能。- Based on matlab GUI interface design, For feature reduction, feature fusion, correlation analysis, Realize image watermarking, de-noising, plus noise and other functions.
qang-qq60
- 用于特征降维，特征融合，相关分析等,均值便宜跟踪的示例，利用matlab写成的窄带噪声发生。- For feature reduction, feature fusion, correlation analysis, Example tracking mean cheap, Using matlab written narrowband noise occurs.
kieneng_v68
- 包括脚本文件和函数文件形式，包括调制，解调，信噪比计算，用于特征降维，特征融合，相关分析等。- Including scr ipt files and function files in the form, Includes the modulation, demodulation, signal to noise ratio calculation, For feature reduction, feature fusion, correlation analysis.
RGB
- 实现图像的退化加噪处理，以及采用三中滤波方法进行还原(The realization of image degradation, noise processing, and the use of the three filtering method for reduction)
gxpjx
- For feature reduction, feature fusion, correlation analysis, Using matlab written narrowband noise occurs, Linear array using cut than learning laid upon the right control of the main sidelobe ratio.
PCA_DeNoise
- 再用主成分分析方法进行信号噪声去除。文件中包含三个子函数：1.Normalize_InputData，规则化输入数据；2.PCA_Reduce_Dimension，实现数据降维处理；3.PCA_Filter_Noise，实现噪声去除(the principal component analysis method for signal noise removal. The file contains three sub-functions: 1.Normalize_InputData, regul
gjjuq
- Realize image watermarking, de-noising, plus noise and other functions, Several new methods sar image denoising, For feature reduction, feature fusion, correlation analysis.
trkvj
- Suppressed carrier type differential phase modulation, Independent component analysis algorithm reduces the raw data noise, For feature reduction, feature fusion, correlation analysis.
han_rh25
- Includes the modulation, demodulation, signal to noise ratio calculation, Based on multi-document image obtained combining technique, For feature reduction, feature fusion, correlation analysis.
upcfk
- Including compression ratio, image restoration computing uptime and peak signal to noise ratio, For feature reduction, feature fusion, correlation analysis, Calculating a target and ocean echo power spectral density.
srep41048
- an filter for reduction speckle noise.
tiu_v57
- A noise auxiliary data analysis method, For feature reduction, feature fusion, correlation analysis, In matlab R2009b debugging through.
PCA
- 高光谱遥感与传统的单波段、多光谱数据相比，波段量大量增加、波段宽度极大降低，对地面目标的光谱特性的测度更加细致，然而波段的增多必然导致数据量急剧增加、计算量增大、信息冗余增加以及统计参数的估计偏差增大。因此，对高光谱数据进行降维处理具有重要意义。一方面，降维能够使图像远离噪声，提高图像数据质量；另一方面，能够去除图像中的无价值波段，减少波段数，从而降低计算量，提高运算效率。主成分分析是常用的高光谱数据降维处理方法之一。(Compared with the single band, hypersp
实验
- 高斯低通滤波器实现图像去噪，通过去除高频分量来降低图像噪声(Image denoising by Gauss low pass filter and reduction of image noise by removing high frequency components)