soursecode

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace 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 u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

使用music算法实现和差测角，实现波束的跟踪(differential goniometric using music algorithm )

this is the inverter model DC-to- AC in order to be used in a simulink model

DEMO MSER WITH DATA OF IDCAR 2015

说明：  侧向和横摆的二自由度车辆模型,输入为方向盘转角，车速，轮路附着系数(2dof vehicle model including lateral and yaw)

zigzag - a step in compress and decompress for image in matlab(zigzag in matlab)

synthetic aperture radar simulation

蚁群算法无误源代码，没有密码，绝对正确，在MATLAB中直接打开运行(ant colony algorithm)

截取一段音频信号作为输入信号，分别通过低通，高通和带通滤波器，比较滤波效果。(Interception of an audio signal as an input signal, respectively, through a low pass, high pass and band-pass filter, compare filtering effect.)

ARRAYS: declara e inicializa todas las variables.