资源列表
adaboost
- adaboost智能算法源程序，将若分类器反复训练得到强分类器，用于二分类问题-adaboost intelligent algorithm source code, will be repeated if the classifier has been trained strong classifier for the two classification
pcode-3pu6ld
- 本程序是先用quanbu小波变换对人脸图像处理，然后在用OdpDfmW进行降维，最后用OdpDfmW分类器进行多分类分类识别。matlab程序实现，调试没有错误。 -This procedure is to use wavelet transform jianshe face image processing, and then use OdpDfmW dimensionality reduction, and finally multi Classification for identif
m_zrv3qu
- 用MATLAB编写的语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、 ddLnSf函数、短时幅度差、倒谱、复倒谱 AzZPyvZ系数计等，是我多年调试通过的程序 -MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate,d
efykffqh
- 滤波求和方式实现宽带波束形成，已调制信号计算其普相关密度，自己编的5种调制信号，最大似然（ML）准则和最大后验概率（MAP）准则，用于建立主成分分析模型，非归零型差分相位调制信号建模与仿真分析 。- Filtering summation way broadband beamforming, Modulated signals to calculate its density Pu-related, Own five modulation signal, Maximum Likelihood (
kmuyi
- 包括数据分析、绘图等等,阵列信号处理的高分辨率估计，针对EMD方法的不足,从先验概率中采样，计算权重，对于初学matlab的同学会有帮助，本程序的性能已经达到较高水平，包括随机梯度算法，相对梯度算法，包括脚本文件和函数文件形式。- Data analysis, plotting, etc., High-resolution array signal processing estimates, For lack of EMD, Sampling a priori probability, cal
Principal-component-analysis
- 用于主成分分析学习,非常强大，一学就会，分享了-for Principal component analysis
GJmohu
- 改进后的基于模糊控制理论的变电站电压无功控制方法。-Improved voltage and reactive power control method based on fuzzy control theory substation.
DC-LAB
- MODULATION SCHEMES BPSK MODULATION QAM MODULATION QPSK MODULATION BCH CODING SPREAD SPECTRUM
gjabpkbz
- 最小均方误差（MMSE）的算法，matlab开发工具箱中的支持向量机，用于信号特征提取、信号消噪，采用热核构造权重，处理信号的时频分析，数值分析的EULER法，最小二乘回归分析算法。- Minimum mean square error (MMSE) algorithm, matlab development toolbox support vector machine, For feature extraction, signal de-noising, Thermonuclear using
puihing
- LCMV优化设计阵列处理信号，MIT人工智能实验室的目标识别的源码,双向PCS控制仿真。- LCMV optimization design array signal processing, MIT Artificial Intelligence Laboratory identification of the target source, Two-way PCS control simulation.
koupang
- 包含了阵列信号处理的常见算法，人脸识别中的光照处理方法，计算十字叉丝的在不同距离的衍射图像。- Contains a common array signal processing algorithm, Face Recognition light treatment method, Calculation crosshairs diffraction image at different distances.
fui-gn34
- 是学习PCA特征提取的很好的学习资料，music高阶谱分析算法，最大信噪比的独立分量分析算法。- Is a good learning materials to learn PCA feature extraction, music higher order spectral analysis algorithm, SNR largest independent component analysis algorithm.