matlab

一个双馈电机转子侧控制与网测控制联合调试的模型，使用SVPWM驱动。(A double fed motor rotor side control and network measurement control joint debugging model, using SVPWM drive.)

说明：  MATLAB矩阵及其运算变量和数据操作 MATLAB矩阵 MATLAB运算矩阵分析(MATLAB matrix and its variables and data manipulation operations MATLAB Matrix Matrix Analysis MATLAB computing)

echo cancellation by matlab

This paper describes the impact of fuzzy parameter in FCM algorithm, and found 2.1 value as suitable one.

功率谱估计基本算法，包括Bartlett，welch等(Power spectrum estimation)

FCMTHRESH Thresholding by 3-class fuzzy c-means clustering [bw,level]=fcmthresh(IM,sw) outputs the binary image bw and threshold level of image IM using a 3-class fuzzy c-means clustering. It often works better than Otsu s methold which outputs larger or smaller threshold on fluorescence images. sw is 0 or 1, a switch of cut-off position. sw=0, cut between the small and middle class sw=1, cut between the middle and large class Contributed by Guanglei Xiong (xgl99@mails.tsinghua.edu.cn) at Tsinghua University, Beijing, China. Please try testfcmthresh.m first!

Simulink 介紹與使用 Simulink 為建構在Matlab 環境下的模擬工具，是一種用來 分析與模擬 系統動態特性的軟體。Simulink 為採用視窗的方式配合滑 鼠的運用，建立 及模擬動態系統模型。藉由圖形化功能方塊的建立 且將各圖形方塊加以連 結成一個模擬系統，用以簡化設計的流 程並模擬分析。

SLR 定位算法的MATLAB实现，开始SL_R 定位了Num个未知节点。初始部分花时13秒左右，优化部分花时80秒左右。(SLR positioning algorithm to achieve the MATLAB, start the SL_R positioning Num unknown node. The initial part of flowering time of about 13 seconds, optimization of part when the flower 80 seconds.)

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

从声卡SPEAK 端 输出1HZ 锯齿波。 MATLAB编程(generating 1 Hz sawtooth from the Sound card )