kalman
一连续平稳的随机信号x(t),自相关函数RX(t)=e-/t/,信号x(t)为加性噪声所干扰,噪声是白噪声,测量值的离散值Z(k)为已知,TS=0.02s。
-3.2,-0.8,-14,-16,-17,-18,-3.3,-2.4, -18,-0.3,-0.4,-0.8,-19,-2.0,-1.2,-11,-14,-0.9,0.8,10,0.2,0.5,-0.5,2.4,-0.5,0.5,-13,0.5,10,-12,0.5,-0.6,-15,-0.7,15,0.5,-0.7,-2.0,-19,-17,-11,-14。
自编卡尔曼滤波递推程序,估计信号x(t)的波形。(A continuous stationary random signal x (t), the autocorrelation function RX (t) = e-/ t /, the signal x (t) is additive noise of the interference, noise is white noise, the measured value of the discrete values Z (k ) are known, TS = 0.02s.
-3.2,-0.8,-14,-16,-17,-18,-3.3,-2.4,-18,-0.3,-0.4,-0.8,-19,-2.0,-1.2,-11,-14 ,-0.9,0.8,10,0.2,0.5,-0.5,2.4,-0.5,0.5,-13,0.5,10,-12,0.5,-0.6,-15,-0.7,15,0.5,-0.7,-2.0,-19,-17,-11,-14.
Self Kalman filter recursive procedure, the estimated signal x (t) waveform.)
- 2020-12-21 11:19:08下载
- 积分:1
FFT
1.用Matlab产生正弦波,矩形波,以及白噪声信号,并显示各自时域波形图
2.进行FFT变换,显示各自频谱图,其中采样率,频率、数据长度自选
3.做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱
4.用IFFT傅立叶反变换恢复信号,并显示恢复的正弦信号时域波形图(1. Produce sine wave, square wave, and the white noise signal with Matlab, and their time-domain waveform display
2. FFT transform, display each spectrum, where the sampling rate, frequency, length optional data
3. RMS to make maps of the three signals, power spectrum, as well as the number of RMS map
4. Restored by inverse Fourier transform IFFT signal and displays the time domain waveforms sinusoidal signal recovery)
- 2013-12-02 16:18:48下载
- 积分:1