matlab_msg

说明：  包里有直流电动机的simulink模型，适合于直流电机的调速，启动仿真(Bag has simulink model of DC motor, suitable for DC motor speed control, start simulation)

Circuit analysis for circuits in electronics

说明：  三维立体分布图 砷元素的 2011 国赛数模(3—D litifenbu )

给原始的语音信号加上一个高频余弦噪声，频率为5kHz。画出加噪后的语音信号时域和频谱图(To the original speech signal and the last high frequency cosine noise, frequency of 5kHz. Speech signal time domain and frequency spectrum and noise after the draw)

simulation of electric drives

辐射传输，温度与发射率分离算法（ASTER-TES）最关键模块NEM的matlab实现，也可参考其中的普朗克函数写法，demo可直接运行。(Radiative transfer, the temperature and emissivity separation algorithm (ASTER- TES) NEM matlab, the key module can also be reference of the Planck function method and the demo can be run directly.Radiative transfer, the temperature and emissivity separation algorithm (ASTER- TES) NEM matlab, the key module can also be reference of the Planck function method and the demo can be run directly.)

说明：  lena图像的分解将规范化后的图像的数据格式由适合显示图像的uint8格式转换为适合数值处理的double格式，再调用二维小波分解函数进行图像分解，最后为了清晰地显示分解图像的塔式结构，在图像的相应区域绘制若干分界线。 (lena image after decomposition of the standardized image data format suitable for display by the image is converted to uint8 format suitable for numerical treatment of the double format, and then call the function of two-dimensional wavelet decomposition for image decomposition, and finally in order to clearly show the decomposition of the image of the tower structure , the corresponding region in the image number of the line drawn.)

摘要 该文主要考虑利用图像噪声再生技术来提取图像细节 其思想是利用被滤除的噪声信号进行回收再利用 通过对噪声信号和初步去噪信号进行小波变换 比较它们的小波系数 当噪声信号的小波系数达到一定的阈值时 将噪声信号的小波系数保留叠加至初步去噪信号的小波系数 然后利用传统的软阈值去噪的方法来进行图像的去噪 从而达到既能够去除噪声 又能保留图像细节的目的 实验证明 该方法较传统的方法在去噪和细节保持上有改进(Abstract In this paper, consider using images to extract the noise regeneration of its ideological image detail is the use of the noise signal was filtered to recycle through the noise signal and the initial wavelet transform de-noising signal comparison of their wavelet coefficients of the wavelet signal when the noise coefficient reaches a certain threshold will be the noise signal superimposed to the wavelet coefficients to retain the initial de-noising signal wavelet coefficients and then using the traditional soft-threshold denoising approach to image denoising in order to achieve the removal of noise can not only be able to retain The purpose of image detail that the methods of the experiment a more traditional approach to denoising and detail in there to keep improving)

matlab 仿真的一个系统的波的图，简单易学好用(matlab simulation of a system of wave maps, easy to learn easy to use)

matlab code for nosice trakking device