hilbert-huang

说明：  硬阈值去噪的MATLAB算法实现 源程序代码(MATLAB hard threshold denoising algorithm source code)

最大选择恒虚警检测——GO-CFAR检测器：包括对于无目标、仅有噪声的信号进行GO-CFAR检测的仿真，以及对于含目标、且在瑞利杂波背景下的GO算法仿真。一些程序主要是为了绘图，画出GO-CFAR检测过程中的信号波形以及检测门限对比图；而另一些程序是为了计算GO-CFAR检测过程中的检测概率和虚警概率。(GO-CFAR detectors: simulations of detection to signals with no target but noise only, as well as signals with target and the background of Rayleigh clutter. Some programs are aimed at giving pictures of the signals and detectiong threshold in the process of detection using GO-CFAR algorithm, while other programs are aimed at calculating the detecting rate and false alarm rate of GO-CFAR algorithm.)

ESTIMATION PARAMETRIQUE ESTIMATION PARAMETRIQUE

qpsk调制解调，结果可以通过示波器进行观察(qpsk modulation and demodulation, the results can be observed by an oscilloscope)

This function detect the area with the maximum power in a time/frequency signal. Developped by Etienne Combrisson.

此程序基于Matlab提升法实现第二代提升小波变换(This program is based on the second generation of lifting wavelet transform Matlab enhance law)

编写M文件，创建如下图形窗口，分别绘制如下图所示的曲线。 （1）曲线y=sin(t)sin(9t)，要求采用红色，点线。横坐标取值范围[0~ ]，标注x轴、y轴并加标题。 （2）一组余弦曲线，其振幅分别为0.4，0.6和0.8。横坐标取值范围[0~2 ]。添加图例与标题。进入图形编辑状态，调整图例的位置。 （3）分别绘制peaks函数的曲面图和网格线图。对曲面图做平滑处理，并添加标题与colorbar。 (Write M file, create the following graphics window, curves were plotted as shown below. (A) the curve y = sin (t) sin (9t), require the use of a red dotted line. The abscissa in the range [0 ~  ], labeled x-axis, y-axis and a title. (2) a set of a cosine curve, and the amplitude was 0.4, 0.6, 0.8. Abscissa value range [0 ~ 2  ]. Add a legend and title. Into the graphical editing mode, adjust the position of the legend. (3) were drawn surface chart peaks function and grid line graph. Surface charts do for smoothing and add titles and colorbar.)

说明：  计算一组数据的统计参数，包括最大值、最小值、平均值、方差等。(Calculate the statistical paremeters of a set of data, including the maximum， minmun, mean,variance.)

对于原始图像中只含有较少的高频噪声，采用合适的小波分解洗漱阈值量化方法进行去噪(For the original image only contains less high frequency noise, the use of appropriate wash wavelet thresholding denoising method)

Abstract- Although the vast majority of EMV payments are processed without a hitch, there are occasions when the cardholder later repudiates a payment. The cardholder may be adamant that he or she was not present to authorize the transaction, but the issuing bank considers the transaction data and certificate to evidence otherwise because they show that the chip and PIN mechanism had been used to authenticate the cardholder. A solution is proposed that leaves a cryptographic mark on the card’s chip which could help determine whether or not that card was present for the transaction and thereby help adjudication.