Kalman-matlab

10年数模赛题alpha、beta角求法，利用最小二乘法求解(10 model years of the contest problems alpha, beta angle Method, using the least squares method)

LMS algı rithm demo sample

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

channel rayleigh fading

bpsk信号频谱感知 能量检测算法 自编程序绝对有效(bpsk CR spectrum sensing)

李指数计算，该函数用来计算时间序列的最大Lyapunov 指数--Wolf 方法(Lee index calculation, the function is used to calculate the time series of the largest Lyapunov exponent- Wolf method)

面阵中二维角度估计 Unitary -ESPRIT算法MATLAB程序( Unitary-ESPRIT matlab algorithm)

利用matlab语言编写了可设置函数曲线图视角的用户界面的源程序。 (Use of matlab language that can be set up function curves from the Perspective of the user interface of the source.)

matlab的经典讲义，介绍的很详细，对matlab初学者非常有帮助。(matlab classic notes, the very detailed introduction to matlab beginners very helpful.)

空白的project1.m matlab文件(the template project1.m file)