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nenqie_v18
- 非常适合计算机视觉方面的研究使用,用于特征降维，特征融合，相关分析等,利用matlab写成的窄带噪声发生。- Very suitable for the study using computer vision, For feature reduction, feature fusion, correlation analysis, Using matlab written narrowband noise occurs.
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.
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.
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
trkvj
- Suppressed carrier type differential phase modulation, Independent component analysis algorithm reduces the raw data noise, For feature reduction, feature fusion, correlation analysis.