examples

Adaptive Filtering with matlab

A dynamic estimation of channel is necessary before the transmission of the signals since the wireless channel is time–varying..we use MMSE method for channel estimation. The MMSE method calculates the following, MMSE channel estimator is designed to minimize the estimation MSE. The MMSE estimate the channel responses.

线性非局部均值滤波器用于图像处理中的去除噪声平滑图像，能够较好的保持图像的边缘 10148806test_LNL

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)

最近针对web端实现单页面展示多个echarts图表，更直观的展示数据的变化，响应式

MinkowskiMethod算法 ,空间目标识别，采用PM算法，计算时间和二维直方图,LCMV优化设计阵列处理信号，使用matlab实现智能预测控制算法，包括数据分析、绘图等等。

自己编写的OFDM发生程序，做仿真的同学可用作源信号，很短，易读，需用matlab工具箱(I have written procedures for OFDM occurred, make simulation the students can be used as a source of signal, very short, easy-to-read, require matlab toolbox)

基于matlab灰色关联度计算的实现，??趍atlab灰色关联度计算的实现，基于matlab灰色关联度计算的实现，(Matlab based on gray correlation degree calculated to achieve,? ?趍atlab gray correlative degree of realization of the calculation, based on gray relational grade calculation matlab realization)

sinusoidal pulse width modulation (pwm) inverter

FASTLOMB caculates the Lomb normalized periodogram (aka Lomb-Scargle, Gauss-Vanicek or Least-Squares spectrum) of a vector x with coordinates in t. The coordinates need not be equally spaced. In fact if they are, it is probably preferable to use PWELCH or SPECTRUM. For more details on the Lomb normalized periodogram, see the excellent section 13.8 in [1], pp. 569-577. This code is a transcription of the Fortran subroutine fasper in [1] (pp.575-577), so it is a really fast (albeit not really exact) implementation of the Lomb periodogram. Also Matlab s characteristics have been taken into account in order to make it even faster for Matlab. For an exact calculation of the Lomb periodogram use LOMB, which is however about 100 times slower.