lp_hp_rii

这篇英文文章讲述利用频域不变形性进行宽带信号DOA估计的理论和方法(This article about the use of English is not the deformation of the frequency domain for wideband signal DOA estimation theory and method)

说明：  基于TOA|TDOA|AOA算法的比较，含详细MATLAB源程序(Based on TOA | TDOA | AOA Algorithms, with detailed MATLAB source code)

MATLAB 学习资料,关于GUI界面编程好书(MATLAB learning materials, a good book on the GUI interface programming)

本程序可用于计算电力系统可靠性指标ENS。不同于一般用平均负荷的方法，考虑了负荷的动态响应。(To calculate the reliability index of distribution system.)

说明：   matlab介绍，以及各种迭代方法的原程序。(matlab introduction of various iterative methods, as well as the original procedure.)

说明：  文件中是用于matlab画smith圆图程序包(Document is used to circle diagram smith painting matlab package)

时间序列来做预测，过程很适合初学者懂的。很详细，很容易的！(Time series to make the forecast, the process is very suitable for beginners understand. Very detailed, easy! )

分布式视频编码中虚拟信道模型的动态估计..(Distributed video coding in dynamic virtual channel model is estimated)

利用matlab进行信号采样（欠采样、过采样等）的源程序(Sampling the signal using matlab (less sampling, oversampling, etc.) of the source)

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)