mo_hinh_toan_hoc_thap

根据已经给定的数组，按要求绘制直方图的形状(code)

LVQ神经网络的预测——人脸朝向识别,MATLAB的经典算法(LVQ neural network prediction- face towards the identification, MATLAB classical algorithm)

前面搞错了,把五个文件一起打包上传了,现在一个一个传 预加重声波在噪声信道内传输 模拟程序 程序头上有详细的注释和使用说明(Made a mistake in front of the pack with five file upload, and now a mass of a pre-emphasis acoustic noise within the transmission channel simulation program procedures detailed head notes and use)

高斯算法的一个例子，可以看一下········(Gaussian algorithm is an example of what can be seen)

产生16路信号，画出16路原始信号的频谱叠加图以及滤波器响应，并画出结果信号的时域和频域波形(Generate 16-channel signal, draw 16 original signal spectrum overlay and a filter response, and draw result signals in time domain and frequency domain waveforms)

说明：  pwm整流电路，即将直流电源逆变为交流电(Rectifying circuit, will be the dc power supply inverter for alternating current)

with this code tou can get 2dimonsional fft of image

matlab 例程，matlab辅助小波分析与应用一书的源代码，开发环境为matlab(Matlab routines, Matlab support wavelet analysis and the application of a source code development environment for Matlab)

function of heed code

input: fun x(t) t min & t max a df T = t_max-t_min fs = a*1/T 输入1：方程，xt；输入2，3：信号起始时间；输入4：选取的采样周期是信号长度倒数的倍数， 默认为50；输入5：频域分辨率，默认为0.3 输出频域信号和频域范围 为了提高fft的速度，频域信号长度是2的次方( Input: fun x (t) t min & t max a df T = t_max-t_min fs = a* 1/T Input 1: Equation XT input 2,3: signal start time input 4: select the sampling period is the reciprocal multiples of the signal length, default is 50 input 5: frequency domain resolution, default is 0.3 of the output frequency domain signal and the frequency domain in order to improve the speed of the FFT, the frequency domain signal length is a power of 2)