simulatiion

关于matlab中模糊神经网络中关于故障诊断的程序(About the fuzzy neural network matlab procedures for troubleshooting)

说明：  Osada算法A3距离实现。C与matlab混合编程。(Osada algorithm A3 distance. C and matlab mixed programming.)

由设计要求可知，wp<=0.2π，允许误差幅度小于1dB，ws>=0.3π内衰减应大于15dB。为了验证数字滤波器的实际滤波功能，设计程序时，把输入序列定为验证函数x（t）=4sin（100πt）以及x（t）=4sin（200πt）和x（t）=4sin（400πt）。又因为Ts=1.25ms，T=80ms，故采样点为64，即N=64，所以当M=6，可以同时调试并验证程序的滤波功能。(Seen by the design requirements, wp < = 0.2π, allow a margin of error of less than 1dB, ws> = 0.3π within attenuation greater than 15dB. In order to verify the actual filtering function of the digital filter design program, the input sequence as validation function x (t) = 4sin (100πt) and x (t) = 4sin (200πt) and x (t) = 4sin (400πt) . And because Ts = 1.25ms, T = 80ms, so the sampling points is 64, that is N = 64, so when M = 6, can debug and validate filtering program.)

簡單的四方形車牌辨識功能，沒有很完整，但可以偵測出部份四邊形(A simple square plate recognition, not very complete, but it can detect part of the quadrangle)

说明：  考虑拉曼散射的matlab仿真，可用于对于光在光纤中传播的子程序。(Matlab simulation considering Raman scattering can be used as a subroutine of fiber laser simulation.)

离散迭代，对于离散系统，进行多次迭代，得到最终的准确结果(Discrete iteration)

此程序把M序列作为输入，使用最小二乘法对系统进行辨识，实现最小二乘的基本功能(M sequences in this program as input, using the least squares method to identify the basic functions of the least squares)

例4：在sinc(t)信号中叠加噪声，分析对应频谱 fs=100 采样频率,必须大于两倍基带信号最高频率 ts=1/fs 采样时间间隔 T=2 时间窗大小 ( x=x+0.1*randn(1,N) x=awgn(x,-10, measured ) figure plot(t,x) title( 时域信号图 ) xlabel( t /s ) y=fft(x,N) figure if mod(N,2)~=0 N=N-1 end f=linspace(0,fs/2,N/2) plot(f,abs(y(1:N/2))*2/N) title( 叠加噪声的sinc(t)信号频谱 ) xlabel( f /Hz ) figure y0=y(1:N/2) P=y0.*conj(y0)/N P=10*log10(P) plot(f,P) title( 功率谱 ) xlabel( f /Hz ) )

viterbi译码算法的matlab源代码(viterbi decoding algorithm matlab source code)

几个matlab程序 包括：计算任意相交区域面积和电场的仿真实现(Several matlab programs include: the intersection area and in arbitrary Simulation of the electric field)