fuzzypid

倒谱法检测基音周期，基于MATLAB实现(Cepstrum pitch detection, based on the MATLAB implementation)

fmguiv2图像跟踪，可稳定跟踪目标，用于MATLAB仿真(fmguiv2 image tracking, target tracking can be stable for the MATLAB simulation)

sequencia de imgs loira secretaria

Matlab编写的特征点提取算子 用于影像匹配等(Matlab prepared Feature Extraction operator for image matching, etc.)

先进PID控制MATLAB仿真(第3版), 作者: 刘金琨,2、3部分源码(Advanced PID control MATLAB simulation (3rd edition), Author: Jinkun, 2,3 some source)

matlab code for that pdf

时间序列数据分析中的梅林变换工具，数据包传送源码程序，wolf 方法计算李雅普诺夫指数。( Time series data analysis Mellin transform tool, Data packet transfer source program, wolf calculated Lyapunov exponent.)

matlab仿真,超宽带信号中,产生固定持续时间的正玄信号(matlab simulation, ultra-wideband signals, resulting in a fixed duration is mysterious signal)

Converts a frequency domain signal to time domain

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.)