prodat

IEEE802.15.4a超宽带信道模型的源代码，是最新的标准超宽带信道模型(IEEE802.15.4a ultra-wideband channel model of the source code, is the latest standard of ultra-wideband channel model)

自己写的利用SVM分离器来识别印章。水平有限，欢迎指正。(Write my own use of SVM separator to identify seal. The level is limited, welcome to correct. )

INVERTER MODEL IN SIMULINK

关于遗传算法的matlab软件实现，里面有三个遗传算法的matlab编程程序。(Matlab genetic algorithm implemented in software, there are three genetic algorithm Matlab programming procedures.)

koch曲线 koch曲线 koch曲线 koch曲线(koch snow koch snow koch snow)

微粒子算法matlab代码:很南找到一个资料，和大家分享(Microparticle algorithm matlab code: I am the South to find a data, and share)

基于MATLAB的低通FIR滤波器的设计于仿真(MATLAB-based low-pass FIR filter design in the simulation)

关于matlab的一些知识，希望对大家有所帮助。(Some knowledge about matlab, we want to help.)

产生右图所示图像f1(m,n)，其中图像大小为256×256，中间亮条为128 ×32，暗处=0，亮处=100。对其进行FFT： ① 同屏显示原图f1(m,n)和FFT(f1)的幅度谱图； ② 若令f2(m,n)=（-1）m+n f1(m,n)，重复以上过程，比较二者幅度 谱的异同，简述理由； ③ 若将f2(m,n)顺时针旋转90 度得到f3(m,n)，试显示FFT(f3)的幅 度谱，并与FFT(f2)的幅度谱进行比较； ④ 若将f1(m,n) 顺时针旋转90 度得到f4(m,n)，令f5(m,n)=f1(m,n)+f4(m,n)，试显 示FFT(f5)的幅度谱，并指出其与FFT(f1)和FFT(f4)的关系； ⑤ 若令f6(m,n)=f2(m,n)+f3(m,n)，试显示FFT(f6)的幅度谱，并指出其与FFT(f2)和 FFT(f3)的关系，比较FFT(f6)和FFT(f5)的幅度谱。(Generating an image f1 (m, n) shown in the figure, wherein the image size is 256 256, the intermediate light bar 128 32 0 = dark, bright Department 100. Its FFT: ① screen display picture f1 (m, n) and the FFT (f1) of the amplitude spectrum ② If so f2 (m, n) = (-1) m+n f1 (m, n), repeat The above process, comparing the amplitude spectrum of the similarities and differences between the two, brief reasons ③ If f2 (m, n) 90 degrees clockwise to get f3 (m, n), try to display FFT (f3) the amplitude spectrum and with the FFT (f2) comparing the amplitude spectrum ④ If f1 (m, n) obtained by 90 degrees clockwise f4 (m, n), so f5 (m, n) = f1 (m, n)+f4 (m, n ), try to display FFT (f5) amplitude spectrum, and pointed out its relationship with the FFT (f1) and FFT (f4) of ⑤ If so f6 (m, n) = f2 (m, n)+f3 (m, n) and try to display the FFT (f6) amplitude spectrum, and pointed out its relationship with the FFT (f2) and FFT (f3), comparing FFT (f6) and FFT (f5) amplitude spectrum.)

利用Kalman及EKF对两相永磁同步电机的状态进行估计。假设电机线圈电流可测，利用 EFK来估计电机的位置和转速。(Use of Kalman and EKF on two-phase permanent magnet synchronous motor of the state estimate. Assumptions motor coil current can be measured using EFK to estimate the motor position and speed.)