Numericalanalysis

P3.18. An analog signal xa(t) = sin (100πt) is sampled using the following sampling intervals. In each case plot the spectrum of the resulting discrete-time signal. Ts= 0.1 ms, Ts= 1 ms, Ts = 0.01 Sec

说明：  一种应用matlab进行光谱定标和随机数产生的源代码(An application for spectral calibration matlab and random number generator source code)

小波去噪，分程3种，第一对信号进行强制消噪处理并图示结果；第二用默认阈值对信号进行消噪处理并图示结果；第三用给定的软阈值进行消噪处理。以及运行图。(Denoising , sub-way three kinds , the first pair of signal processing and noise cancellation forced the results shown second by default thresholds for signal processing and illustrates the results of de-noising third with a given soft threshold de-noising deal with . And a diagram.)

在matlab软件中，自己编程实现的一个分类算法，算法首先采用kmeans与fcm聚类分析方法进行采样，然后利用svm对选取得样本进行分类(In matlab software, own programming to achieve a classification algorithm, the algorithm first used fcm kmeans cluster analysis methods and sampling, and then use the elections to obtain samples for svm classification)

风光储 Droop 控制策略改成了 V/f 和 PQ 控制策略，并应用 MATLAB/Simulink 进行了仿真(The Droop control strategy of the system is changed into V/f and PQ control strategy, and the simulation is carried out by using MATLAB/Simulink)

ofdm系统的载波频偏干扰消除程序。算法在程序中有详尽的注释。算法性能优良。(ofdm system carrier frequency offset interference cancellation process. Algorithm are detailed in the program notes. Algorithm is excellent.)

ethercat introduction and competitors s protocal comparision

谱估计源程序：是谱估计中的经典算法基于线阵MUSIC等算法的源程序(spectrum estimation source : spectral estimation algorithm based on the classic line array MUSIC algorithm of the source)

针对mean shift 跟踪方法中存在的光照变化不稳定问题， 提出了基于梯度特征与彩色 特征相融合的mean shift 跟踪方法。首先分别提取目标的梯度特征和彩色特征，利用多尺度的相似度 计算方法进行特征的匹配，然后通过最大化相似度对目标进行跟踪。通过物体和人体等运动目标的跟 踪，验证了改进的跟踪算法在光照变化情况下的鲁棒性优于原有的算法，显著降低了跟踪位置误差。(The instability of the light changes in the mean shift tracking method, the mean shift tracking method based on gradient features and color characteristics of fusion. First extract gradient features and color features of the target, the similarity calculation method using multi-scale feature matching, and then maximize the similarity of the target track. Through the tracking of objects and people moving target, verify the robustness of the improved tracking algorithm in the case of illumination changes is better than the original algorithm significantly reduces the tracking position error.)

进行时延估计 包含双谱和互相关两种方法 没有高阶累积量(For time delay estimation contains double spectrum and cross-correlation two ways No higher order cumulants )