CONTOUR

芯片资料 芯片资料 芯片资料 芯片资料 芯片资料 芯片资料(Information on data-chip-chip-chip-chip data data data-chip-chip data)

说明：  该工程用来对于声音和图像的基本采集，工程中有各种采集的方法以及对于声卡的设置也作出了解释。附有matlab的GUI界面。(The project is used for basic voice and image acquisition, the project collected a variety of methods and settings for the sound card also made explanation. The GUI interface with matlab.)

MUSIC一维算法的经典谱估计程序，已运算过，下载即可使用(MUSIC algorithm is a classic one-dimensional spectral estimation procedures have been operational before, you can use to download)

旅行商问题（Travelling Salesman Problem, 简记TSP):假设有一个旅行商人要拜访n个城市，他必须选择所要走的路径，路经的限制是每个城市只能拜访一次，而且最后要回到原来出发的城市。路径的选择目标是要求得的路径路程为所有路径之中的最小值。 此处使用蚁群算法求解TSP问题(Suppose a business trip to visit n cities, he must choose the path to go, pass through the restriction is to visit each city only once, and finally go back to the original departure city. Path selection objective is to get the path distance to the minimum value among all paths.Here,we use the procedure of ant colony algorithm to work out the TSP.)

可以对脑电信号进行预处理，并且可以建立脑网络(EEG signal processing)

说明：  AWGN信道下，fqpsk 调制的MAP检测 (under awgn channel,MAP demodulation for FQPSK modulation)

清华大学信号课程第二次实验，内容是基于傅立叶级数的信号分解以及双音频按键音合成(Tsinghua signal course the second experiment, the content is based on the Fourier series of two-tone signal decomposition and synthesis of key tone)

三自由度汽车模型mdl文件和相应的m文件(Three degrees of freedom vehicle model mdl file and the corresponding m file)

功率谱估计（周期图法、welch法、pmusic法等）(PSD estimation)

1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线； 2） 写出最陡下降法， LMS算法的计算公式（ ）； 3） 用MATLAB产生方差为0.05,均值为0白噪音S(n)，并画出其中一次实现的波形图； 4） 根据2）中的公式，并利用3）中产生的S(n)，在1）中的误差性能曲面的等值曲线上叠加画出采用最陡下降法， LMS法时H(n)的在叠代过程中的轨迹曲线。 5）用MATLAB计算并画出LMS法时 随时间n的变化曲线（对 应S(n)的某一次的一次实现）和e(n)波形；某一次实现的结果并不能从统计的角度反映实验的结果的正确性，为得到具有统计特性的实验结果，可用足够多次的实验结果的平均值作为实验的结果。用MATLAB计算并画出LMS法时J(n)的100次实验结果的平均值随时间n的变化曲线。 6）用MATLAB计算并在1）中的误差性能曲面的等值曲线上叠加画出LMS法时100次实验中的H(n)的平均值的轨迹曲线； 7）对以上实验结果给出一些你认为有价值的讨论。 （在实验中n=1,,…..N,N的取值根据实验情况确定，一般选取足够大以使算法达到基本收敛，本题作业以电子文档PDF格式提供） (1) With MATLAB to draw the contours of the error performance surface and error performance surface 2) Write down the steepest descent method, the LMS algorithm formula () 3) using MATLAB variance 0.05, mean 0 white noise S (n), and draw one to achieve the waveform diagram 4) According to the formula 2), and using 3) S (n) produced in 1), the error performance of the contours of the surfaces superimposed on draw using the steepest descent method, the LMS method is H (n) in the iterative process in the trajectory curve. 5) curve to calculate and draw the LMS method using MATLAB with time n (time corresponding to the S (n) of a first implementation) and e (n) waveform reflect a certain time to achieve results not from a statistical point of experiment the correctness of the results obtained with the experimental results of the statistical properties of the available sufficient times the average of the experimental results as a result of the experiment. Calculate and draw the LMS m)