Concepts-of-Orthogonal-Frequency-Division-Multipl

matlab程序，用于人脸识别的K均值算法程序，非常有用。(matlab program for K-means algorithm for face recognition program, very useful.)

本源代码主要实现谐波小波的分解及重构的matlab程序。(Source code of the main harmonic wavelet decomposition and reconstruction of the matlab program.)

定位眼神的程序，有mATLAbC++多种版本可供使用(Positioning the eyes of the program, mATLAb C++ multiple versions available)

关于多维变量PSO算法优化，是基于matlab的算法分析。可解决电力系统中无功优化等类似问题。例子中是2维的，若要增加变量请自行更改程序(PSO algorithm to optimize multidimensional variable matlab-based algorithm analysis. Solve the power system reactive power optimization and other similar issues. Example is 2-dimensional, To increase the variable your own change program)

SSVEP脑电分析算法，计算脑电的频率和相位信息，并做出判断(SSVEP EEG analysis algorithm to calculate EEG frequency and phase information, and make judgments)

合成孔径雷达的的仿真测试算法及其文档，这是西电的牛导所设计的方法，在中电14所的项目中得到验证，并取得不错的效果。点目标的散射原理通过此文档可以得到了解(Synthetic aperture radar simulation testing algorithm and its documentation, which is lead by the Western Electric cow design methods, in the CLP 14 projects have been tested, and achieved good results. Point target scattering theory can be understood through this document)

仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 (he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)

KVM MIPS: Binary Patching for privileged instructions, reduces traps.

程序主要包含幂级数展开逼近余弦及在同一坐标下显示多个曲线。压缩包中还包含相关的参考资料。(Program mainly includes power series expansion approximation cosine and displayed in the same coordinate multiple curves. Compressed package also contains the associated reference materials.)

nonlinear finite element code using matlab