MATLAB-experimental-instruction

optimal power flow using particle swarm optimization

2D particle movement in a circle domain

This project gives the design of control system and speaker recognition code using matlab. Matlab’s straightforward programming interface makes it an ideal tool for speech analysis projects. For the current project, experience was gained in general matlab programming and the design of control system. A basic speaker recognition algorithm has been written to sort through a rule base in matlab and choose the one most likely match based on the pre define time frame of the speech utterance.

故障时频域特征提取，前六阶CEEMDAN+初始信号时频域特征(Fault time-frequency domain feature extraction, first six-order CEEMDAN + initial signal time-frequency domain feature)

对信号进行小波分解，用硬阈值方法去除噪声，进而提高精度(right signal wavelet decomposition, with a hard threshold to remove noise, and to improve accuracy)

该程序涉及了一阶系统、二阶系统的阶跃响应下的系统辨识方法。(The procedure involves first-order system, second-order system step response of system identification methods.)

This section of MATLAB source code covers 802.11a WLAN Channel Model.

使用matlab方法，计算强场下的stark光谱，内含详细说明。(Matlab method used to calculate the stark spectroscopy under strong field, containing detailed instructions.)

c均值算法的实现，使用c均值算法对一组三位数据进行聚类，给出了测试的类别数目和初始值。(c-means algorithm, using the c-means algorithm on a set of three data clustering, given the number of categories and initial value of the test.)

LMS自适应滤波的演示程序 LMS自适应滤波的演示程序(LMS adaptive filtering LMS adaptive filtering demo demo)