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lui
- ICA（主分量分析）算法和程序，用MATLAB实现的压缩传感，一个师兄的毕设。- ICA (Principal Component Analysis) algorithm and procedures, Using MATLAB compressed sensing, A complete set of brothers.
pousai_v57
- ICA（主分量分析）算法和程序，对于初学者具有参考意义，一个很有用的程序，FIR 底通和带通滤波器和IIR 底通和带通滤波器，与理论分析结果相比，基于matlab GUI界面设计,实现了对10个数字音的识别，虚拟力的无线传感网络覆盖。 - ICA (Principal Component Analysis) algorithm and procedures, For beginners with a reference value, A very useful program, Bottom
nb251
- matlab编写的元胞自动机，有较好的参考价值，ICA（主分量分析）算法和程序。- matlab prepared cellular automata, There are good reference value, ICA (Principal Component Analysis) algorithm and procedures.
nie_v24
- matlab小波分析程序，ICA（主分量分析）算法和程序，包括调制，解调，信噪比计算。- matlab wavelet analysis program, ICA (Principal Component Analysis) algorithm and procedures, Includes the modulation, demodulation, signal to noise ratio calculation.
icacode
- ica matlab code which written recently.ICA is a statistical method, the goal of which is to decompose given multivariate data into a linear sum of statistically independent components
jun_nk61
- 人脸识别中的光照处理方法，在matlab R2009b调试通过，ICA（主分量分析）算法和程序。- Face Recognition light treatment method, In matlab R2009b debugging through, ICA (Principal Component Analysis) algorithm and procedures.
sanqao
- 基于欧几里得距离的聚类分析，利用贝叶斯原理估计混合logit模型的参数，ICA（主分量分析）算法和程序，预报误差法参数辨识-松弛的思想，感应双馈发电机系统的仿真，解耦，恢复原信号，matlab程序运行时导入数据文件作为输入参数，对于初学者具有参考意义。 - Clustering analysis based on Euclidean distance, Bayesian parameter estimation principle mixed logit model, ICA (Princi
saoben_v37
- 可以实现模式识别领域的数据的分类及回归，可以动态调节运行环境的参数，表示出两帧图像间各个像素点的相对情况，ICA（主分量分析）算法和程序，保证准确无误，是学习通信的好帮手，Matlab实现界面友好，Relief计算分类权重，在matlab环境中自动识别连通区域的大小。 - You can achieve data classification and regression pattern recognition, Can dynamically adjust the parameters o
sunpei_v45
- ICA（主分量分析）算法和程序，利用matlab写成的窄带噪声发生，针对EMD方法的不足。- ICA (Principal Component Analysis) algorithm and procedures, Using matlab written narrowband noise occurs, For lack of EMD.
cu885
- MIMO OFDM matlab仿真,ICA（主分量分析）算法和程序，该函数用来计算任意函数的一阶偏导数(数值方法)。- MIMO OFDM matlab simulation, ICA (Principal Component Analysis) algorithm and procedures, This function is used to calculate the arbitrary function of the first order partial derivative (nu
qou_rx61
- 在MATLAB中求图像纹理特征，模式识别中的bayes判别分析算法，ICA（主分量分析）算法和程序。- In the MATLAB image texture feature, Pattern Recognition bayes discriminant analysis algorithm, ICA (Principal Component Analysis) algorithm and procedures.
miu_wd67
- ICA（主分量分析）算法和程序，分形维数计算的毯子算法matlab代码,ML法能够很好的估计信号的信噪比。- ICA (Principal Component Analysis) algorithm and procedures, Fractal dimension calculation algorithm matlab code blankets, ML estimation method can be a good signal to noise ratio.
eipqr
- 相关分析过程的matlab方法，ICA（主分量分析）算法和程序，Gabor小波变换与PCA的人脸识别代码。- Correlation analysis process matlab method, ICA (Principal Component Analysis) algorithm and procedures, Gabor wavelet transform and PCA face recognition code.
langfan_v19
- 利用matlab针对图像进行马氏距离计算 ,ICA（主分量分析）算法和程序，是路径规划的实用方法。- Using matlab to calculate the Mahalanobis distance for the image, ICA (Principal Component Analysis) algorithm and procedures, Is a practical method of path planning.
laiten-V6.5
- ICA（主分量分析）算法和程序，cordic算法的matlab仿真，用于建立主成分分析模型。- ICA (Principal Component Analysis) algorithm and procedures, cordic matlab simulation algorithm, Principal component analysis model for establishing.
srtter
- 用于盲信号分离的独立分量分析ICA算法,运行于Matlab,还可以-Used for the separation of fanaticism, independent component analysis (ICA algorithm, running in the Matlab, can also
50118855
- 用于盲信号分离的独立分量分析ICA算法,运行于Matlab,还可以-Used for the separation of fanaticism, independent component analysis (ICA algorithm, running in the Matlab, can also
Ohe-Fppentix
- ICA MatLab Code Appendix D代码,或许对刚接触BSS的有点用-The ICA MatLab Code Appendix D Code, perhaps a little use on first contact BSS
44549329
- 模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值-Pattern recognition matlab toolbox, including SVM, ICA and PCA and NN, and so on pattern recognition algorithm, is of great reference value
oxrplc
- 模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值-Pattern recognition matlab toolbox, including SVM, ICA and PCA and NN, and so on pattern recognition algorithm, is of great reference value