Sensorless-Speed-Control-of-Independent-Dual-PMSM

卡尔曼滤波器matlab仿真程序，已知测试的随机信号用卡尔曼滤波器，估计原始信号。(kalman filter)

这是一本基于matlab计算软件的高等数学问题求解教材，很详细的介绍了在matlab环境下来计算一些经典的高等数学问题。(this is a book about solving advanced math problems with matlab software.it introduces how to compute a lot of classic advanced math problems under matlab. )

matlab实现的无约束修正Newton法，内含一维搜索进退法和0.618法，验证函数选择的booth函数，实验结果符合。(matlab achieve unconstrained correction Newton method, contains one-dimensional search method retreat and 0.618 method, verify booth function function selected experimental results.)

4个电机调速的matlab仿真模型 希望有所帮助(4 motor matlab simulation model of the hope that help)

matlab温度场模拟，10min后的温度场模拟图,二维温度场模拟图(numerical simulation of temperature field)

this is a code in background subtraction

计算成组滑动的滑窗检测器的最佳门限已知: 击中数N = 128, 组宽n = 8，PF = 10¡ 6，PD = 90 假设以下条件: (a) 信号不起伏 (b) 忽略天线波束调制 1 (c) 计算PD时忽略目标区以外噪声的影响 组门限(第二门限)为K=8 滑窗的门限(第三门限)为L=16 (滑窗中包含的组数为16) 求解: 最佳的KOPT 和LOPT，对这题做了具体仿真实现。需要的朋友，一定知道很有用。(Optimal threshold calculated as group slidable window detector is known: hit number N = 128, the group width n = 8, PF = 106, PD = 90 assuming the following conditions: (a) signal is not undulation ( b) ignore the antenna beam modulation 1 (c) the calculation of PD ignored outside the target area noise of impact group door limit (the second door limit) for K = 8 sliding window of the door limit (third door limit) for L = 16 (sliding window contains group 16) to solve: the best of the KOPT the LOPT, these questions do specific simulation to achieve. A friend in need, we must know to be useful.)

This is the matlab simulation of Fully Controlled Rectifier controlling a DC Motor with RAMP input.

《MATLAB 7.0编程基础基础》源程序 第3章(Chapter 3 of the " MATLAB 7.0 programming foundation foundation source)

design of: 1.butterworth bandpass filter 2.butterworth bandstop filter 3.butterworth lowpass filter 4.butterworth highpass filter for the given specifications using matlab design of: 1.hilbert transformer 2.differentiator using matlab frequency response of lowpass filter using kaiser window in matlab representation of basic signals using matlab convolution of two sequences using matlab