fouriertransmation

Tutorial matlab untuk pemula

NSGA2仿真实例，可用于神经网络仿真测试(NSGA is a popular non-domination based genetic algorithm for multi- objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter. A modified version, NSGA- II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori. NSGA-II is discussed in detail in this.)

数学建模赛题的Matlab解决程序，模拟车灯的映照情况(Mathematical Modeling Contest in the Matlab problem solving program to simulate the reflection of light conditions)

本程序是矩形波的产生。第零步定义了要产生的波形的所有特征参数，矩形波的持续时间WIDTH，矩形波的采样点数POINTS,载波频率为F0，这个频率的最终引入是便于使用RF频率发射波形。第一步包括产生矩形波，并将其调制到RF上，注意，产生的信号的持续时间是矩形波宽度的5倍，这样，总的采样点数就是5*POINTS。同时还应注意，如果要产生一个基带信号，必须设置T0=0.第二步是画出所产生矩形波的源代码。( This procedure is rectangle wave production. Step to produce stage defined the waveform of all characteristic parameters, the duration of the rectangle wave WIDTH, rectangle wave sampling POINTS POINTS, carrier frequency F0, this frequency for the ultimate introduction is easy to use RF frequency emission waveforms. The first step including generating rectangle wave, and modulated to RF, attention, produce the duration of the signal is five times the width of rectangle wave, so, overall sampling POINTS is 5* POINTS. Also, note that if you want to produce a baseband signals must set T0 = 0. The second step is to draw a rectangular wave generated by the source code. )

finit difference waveguide

系统辨识基于梯度校正的参数辨识方法，其中包括随机牛顿法，确定性梯度下降法(System identification based on the gradient correction parameter identification methods, including random Newton' s method, deterministic gradient descent)

templates for number plate detection

Tool to load waveforms into a agilemt esg signal generator

用矩量法计算半波振子的电流分布、输入阻抗、E面方向图。(Calculated half-wave dipole moment method using the current distribution, input impedance, E plane patterns.)

音频小波去噪程序 不是图像方面的,不要下错了(Audio wavelet denoising process is not the image area, not under the wrong)