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matlab环境下，采用指定个数的高斯信号对任意概率分布的信号进行模拟(matlab environment, using the specified number of Gaussian signals for any probability distribution of the signal to simulate)

matlab解决logistic模型代码(matlab code to solve logistic model)

采用声子晶体能带理论求解周期性结构振动特性，采用解析法编程，适合初学者学习参考(Wave propagation in periodic structures band-gap behaviours)

buck电压电流双闭环 在simulink仿真环境下(Voltage and current double closed loop)

buttonIcon = createButtonLabel(string,PVs,figOpt) Have you ever been frustrated by an inability to label a vertically oriented pushbutton or uicontrol with a string? This function is for you! All valid Parameter-Value pairs, INCLUDING TEXT ROTATION, are supported. Note that this function requires the Image Processing Toolbox, and that it triggers the creation of a temporary figure, which will be momentarily visible during button-label creation.

利用遗传算法解决一维装箱问题，包含了数据初始合理化，交叉变异的过程(The use of genetic algorithms to solve the one-dimensional packing problems, including the initial data rationalization, crossover and mutation process)

有关8psk在matlab上的调制解调及误码率计算(For 8PSK modulation and demodulation and bit error rate in the matlab basis)

高斯过程在机器学习中的应用，非常经典的一本书(gaussian processes and machine learning)

雷达数据处理对于观测的目标位置数据（称为点迹）进行滤波处理，自动形成航迹，并且可以对下一个目标的位置进行估计预测。利用最小二乘算法（LMS）进行滤波处理，得到了比较稳定的航迹估计。 最小二乘方法是参数估计中一种较为常见的参数估计方法。对于雷达观测数据，在我们假定已经精确知道航迹的运动学模型之后，通过建立观测方程，即可以对于模型的参数，如初速度，初始位置和加速度等进行最小均方误差估计。采用序贯最小二乘的方法可以对观测数据进行实时处理，已对待估计参数进行实时更新，然后利用观测模型可以对 数据进行滤波计算。(Radar data processing for target position data observed (known as trace points) filter processing, automatic track, and can be estimated to predict the position of the next target. Using the least squares algorithm (LMS) filtering process, have been relatively stable track estimates. Least-squares parameter estimation method is a more common parameter estimation method. For radar data, we assume that the kinematic model has been accurately track after, through the establishment of observation equations, which can be the parameters of the model, as ever speed, acceleration, etc. initial position and minimum mean square error estimation. Sequential least squares method using the observed data can be processed in real time, has been to treat the estimated parameters are updated in real time, and then use observational data can be filtered model calculations.)

一本关于matlab的好书，是一本教程，请欣赏学习。(one of the best books on Matlab is a guide, please appreciate learning.)