LDPC

基于matlab，针对调幅AM、调频FM和调相PM信号，分析在不同的噪声环境，包括高斯白噪声、色噪声、非高斯噪声及正弦干扰中，各种信号的二阶循环谱。可根据需要改变程序中信号或噪声环境，分析结果。(Based on matlab, AM for AM, FM FM and PM phase modulation signals, analysis of noise in different environments, including Gaussian white noise, colored noise, non-Gaussian noise and sinusoidal interference, the various second-order cyclic spectrum signals. May need to change the process in accordance with the signal or noise environment, the results of the analysis.)

说明：  光谱的中心化处理算法去除一些噪声信息，使建模更精确稳定。(The center of spectral processing algorithms to remove some noise information, so that more accurate modeling stability.)

Visualisation of oscillations

rf system matlab tool box 2

Single preceptron Easy example of single perceptron which learn to recognize logical function AND, OR, and so on :)

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

这是一个基于simulink的无刷直流电机的仿真模型，可以得出很好的仿真效果(This is a brushless DC motor based on simulink simulation model, simulation results can be obtained very good)

ds algorithm motion estimation

在matlab下仿真计算光纤的色散和自相位调制特性(Simulation of fiber dispersion and self-phase modulation characteristics)

说明：  Matlab7.0的Kohonen的SOFM(自组织特征映射)源程序(Matlab7.0 of Kohonen' s SOFM (self-organizing feature map) source)