classic_spectral_estimation

安捷伦USB 示波器例程。有这东西的兄弟有福了(Agilent USB Oscilloscope routines. The brothers have this blessed thing)

消隐算法 三维 消隐分类 画家算法 算法的介绍及例子说明(Vanishing algorithm 3 d Vanishing classification Painter algorithm The algorithm is introduced and examples )

（信号与系统实验GUI）本软件针对信号与系统这门课的特点，以信号分析和系统分析作为展示课程内容的主线编写而。信号分析和系统分析两个模块包含了丰富的功能可供使用者参考。((Signal and System Experiment GUI) The software for signal and system characteristics of this course to signal analysis and system analysis as a showcase for the preparation and main course content. Signal analysis and system analysis two modules contain a wealth of features for users' reference.)

Total Variation Denoising(TV denoising (scalar fidelity term) [ROF92] Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white Gaussian noise is added with a-priori known (or estimated) noise power (variance). The fidelity term to the input image is calculated automatically so that the power of the noise is reduced. )

用3中误差扩散滤波器实现误差扩散，分别是floyd stein, sierra, Stenenson滤波器(Error diffusion filter with a 3 to achieve error diffusion, respectively, floyd stein, sierra, Stenenson filter)

说明：  非线性调频信号的设计与实现，第一部分内容(Nonlinear FM signal design and implementation, the first part of)

Implementation and evaluation of a distribution load flow algorithm for networks with distributed generation

把一些Matlab基础教程进行打包，是PDF格式或PPT格式的，希望对初学者有用！(Some basic tutorials for Matlab packaged are the PDF format or PPT format, and I hope it is useful for beginners!)

has provided the primary evidence supporting involvement of the dopaminergic system in the pathology of RLS. While PET and SPECT imaging of the striatum held initial promise of linking dopamine abnormalities to RLS, they have failed to reveal a consistent pattern of abnormalities. The dopamine-2 receptor binding potentials of RLS patients have been

基于遗传算法的epginomics科学工作流调度优化算法.(a GA based for epginomics workflow scheduling optimization)