Homework1

利用拉普拉斯先验的压缩感知稀疏重构的贝叶斯方法，具有较好的计算精度(Bayesian compressive sensing using laplace priors，with high accuracy )

Solving Schrodinger for a quantom well

matlab小波分析程序，实现了图像的加水印，去噪，加噪声等功能，BP神经网络的整个训练过程。( matlab wavelet analysis program, Realize image watermarking, de-noising, plus noise and other functions, The entire training process BP neural network.)

说明：  将标准微粒群算法进行改进，从而解决标准PSO算法的容易陷入局部最优解的情况。(The standard particle swarm algorithm is improved so as to solve the standard PSO algorithm is easy to fall into local optimal solution of the situation.)

很牛的粒子群算法，里面由三个程序组成，清晰易懂(PSO is cattle, which consists of three program composed, lucid)

说明：  一个很有参考性的案例，是和自动驾驶相关的MP控制； 说明如何实时更新模型预测控制中的 预测模型的参数， 实现自适应控制。(A very useful case is MP control related to automatic driving. Explains how to update the parameters of predictive models in model predictive control in real time. Adaptive control is realized.)

曲线模型的半自适应交互多模型跟踪方法 我存的一篇论文，拿来与大家共享(When using interactive multiple model (IMM) to track targets,to select smallermodel set to better cover the move- ment property and the maneuvering level of various targets and meanwhile to reduce computation complexity are both worthwhile and also necessary research tasks to project implementation.The main work is done through the IMM algorithm of curvilinear model,the construction of angle velocity estimation model and the extension of it to state equations,whichmake it possible for normal acceleration to be self-adaptively adjusted,hence it reduces the model setto associate onlywithMcurvilinearmodels selatingtotangential acceler- ation.Computation burden is reduced and algorithm’s applying range is extended.The simulation further proves the conclusion )

说明：  计DFT，IDFT,FFT,循环卷积，循环移位以及重叠保留法(Of DFT, IDFT, FFT, cyclic convolution, cyclic shift and overlap to retain the Law)

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基于高斯滤波的数值预测具体详细的matlab程序。(The specific details of the MATLAB program about numerical prediction based on Gauss filter)