DCMotorControl_final

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)

说明：  关于背景重构和目标检测的一些论文，很多好的算法包含在里面了。(Background reconstruction and detection of a number of papers, many good algorithms included in it.)

运用MATLAB,产生基本的冲击序列、阶跃序列、矩形序列(The use of MATLAB, the impact of the basic sequence generated, step sequences, rectangular sequence)

地震波场模拟，二维声波模拟！未加边界条件，新手学习还是可以滴！(2D seismic wave forward modelling)

waveguide dispersion simulation

极大似然估计法用于系统模型辨识，需要构造一个以观测数据和未知参数为自变量的似然函数。(Maximum likelihood estimation method for system model identification, the need to construct a likelihood function as independent variables to the observed data and the unknown parameters.)

mrvm是RVM的改进，可直接用于多分类。不用什么一对一之类的。效率更高更好使。(Mrvm is an improvement of RVM and can be directly applied to multi classification. No need for one to one. Efficiency is better and better.)

dijkstar经典算法，用于寻求最短路径规划等(dijkstar classical algorithm for seeking the shortest path planning)

一个简单的LDA的matlab实现程序，大家多多批评(A simple matlab implementation of the LDA program, a lot of criticism)

用于实现车道线识别探测的matlab程序，可达到良好的识别率(Lane Recognition for achieving detection matlab program, can achieve good recognition rate)