analynumerique

Kernel principal component analysis (kernel PCA) [1] is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.

很实用的毕业设计论文及源代码，FFT滤波器设计(Thesis is a practical and source code, FFT filter design)

Use weka in matlab, call all the classifier in weka

protocol implementation for viewing data

MATLAB code filter2 floating coefficients

一个lms算法的matlab仿真程序。实现曲线输出。有很好的参考价值。(An LMS algorithm matlab simulation program. Realize the output curve. Have a very good reference value.)

说明：  ofdm的时域仿真代码，matlab下正常。(ofdm s time domain simulation code with matlab,it s works well.)

This program can generate a pulse from a given spectrum

利用前推回代法计算ieee33节点的潮流，计算的速度快，精度高容易收敛。(The forward and backward substitution method is used to calculate the power flow of IEEE 33 nodes. The calculation speed is fast, the accuracy is high and the convergence is easy.)

灰度图转换，可以把彩色图片转换为灰度图片。并进行计算(Grayscale conversion, color images can be converted to gray-scale image. And calculated)