nn

fft and dft is done withought functions..

利用matlab里面的吹风机数据，用前300个数据进行辨识。分别采用最小二乘辨识和arx辨识。并画出图形。(Use a hair dryer inside matlab data before using 300 data identification. Respectively, using the least squares identification and arx identification. And draw graphics.)

multiple modulation schemes.enjoy

Speech analysis and parameter extraction Short-term analysis, frames and windows

fit_ML_normal - Maximum Likelihood fit of the normal distribution of i.i.d. samples!. Given the samples of a normal distribution, the PDF parameter is found fits data to the probability of the form: p(r) = sqrt(1/2/pi/sig^2)*exp(-((r-u)^2)/(2*sig^2)) with parameters: u,sig^2 format: result = fit_ML_normal( x,hAx ) input: x - vector, samples with normal distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields sig^2,u - fitted parameters CRB_sig2,CRB_u - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

auto correlation by matlap

rs232收发程序matlab (rs232 transceiver procedures matlab)

Spatial channel model version 1.0

f uso please do not put files on these two directory.

segmentatio for auto conour