FatigueBoardBand

多普勃效应因子与表观时间和表观长度,网上是要花钱买的，(Multi-factor and the apparent effect of普勃time and the apparent length, the Internet is to spend money, and)

主程序为mybss.m和fastica1.m。经过调试能够成功运行，和lmd一起使用效果不错，可以实现各频率的分离。(The main program is mybss.m and fastica1.m. After debugging can be run successfully, and lmd use with good results, the separation can be achieved for each frequency.)

# D2D-communication optimal mode selection between normal cellular and D2D mode. MCMC_k_user.m is the main file to be run. This takes the input for No. of users, Power of each device, power emitted by the base station and path loss exponent and generates a plot of the optimal mode selection for different users. The remaining two files are just saved workspaces for different configurations.

extreme learning machine 例子 run segment_mean(extreme learning machine examples run segment_mean)

NUMERICAL INTEGRATION: Implementation of the routine of order 8 and applied on the function sin(x), 0<=x<=pi Code is very understodable, and converge very fast.

利用交又我们有可能由父代个体在子代组合成具有更高适合度的个体。(For this part, you are allowed 30 minutes to write a composition on the topic Why Do People Like to Buy Lotteries?)

一个matlab小程序，三次输错密码后，可以调用摄像头进行拍照，并发送飞信和电子邮件（当然需要进行必要的设置，注释很清楚）(A small matlab program, three times the wrong password, you can call the camera to take pictures and send flying letters and e-mail (of course, need to take the set, comments very clear))

说明：  通过并行压缩进行二维信号压缩，提出了一种利用并行压缩传感技术对二维信号进行压缩的新方案。根据这个原理，译码器的重新构造可以并行进行。通过对二维信号进行某些排列，可以确保所有列具有大致相同的密度级别，并且可以使用相同的测量矩阵进行采样。这样可以避免二维信号的矢量化，从而大大减小测量矩阵的尺寸。我们证明，如果排列良好，重建均方误差的上限会更紧。为了说明这一方案，我们将其应用于视频压缩并使用不同帧的排列有两种：参考帧的基于Z字形扫描的排列和非参考帧的基于块测试的排列。仿真结果表明，在相同的压缩比下，峰值信噪比比比在无置换情况下可提高3-7db左右。(we propose a new scheme to compress 2D signals using parallel compressed sensing. According to this seheme, the reeonstruction at the decoder can be performed in parallel. By performing certain permutation on a 2D signal, all columns are insured to have approximately the same density level and can be sampled using the same measurement matrix. In this way, vectorization of a 2D signal can be avoided, and thus the size of the measurement matrix can be dramatically reduced. We prove that with a good permutation, we can have a tighter upper bound on reconstruction mean square error. To illustrate this scheme, we apply it to video compression and use two kinds of permutations for different frames: the zigzag-scanbased permutation for reference frames and the block-test-based permutation for non-reference frames. Simulation results show that under the same compression ratio, the peak signal-to-noise ratio can be improved by approximately 3-7 dB compared to the case without permutation.)

Main form backround create shortcut

说明：  这是自己写的一个贝叶斯网络分类器，可能存在问题，自己调一下(This is to write a Bayesian network classifiers, there may be problems, make your own look)