gongetidu

说明：  基于分形理论谱峰检测研究，分形算法。。。。。。。。。。。。。。。。(aaaaaaaaaaaaaaaaaaaaaaa)

分析声音信号的时域和频域特性，并且可以分析声卡输入的声音，自己产生信号(Analysis of the sound signal in time domain and frequency domain characteristics, and can analyze the sound of the sound card input, the generated signal)

Uncertainty Quantification, Multilevel Monte Carlo, Probabilistic Collocation Methods

电除尘器的空间电气特性数值分析，分别对电势，空间电荷密度进行仿真(Analysis for Space Electric Characteristics in ESPs)

有限差分法 微分方程和积分微分方程数值解的方法。基本思想是把连续的定解区域用有限个离散点构成的网格来代替， 这些离散点称作网格的节点；把连续定解区域上的连续变量的函数用在网格上定义的离散变量函数来近似；把原方程和定解条件中的微商用差商来近似， 积分用积分和来近似，于是原微分方程和定解条件就近似地代之以代数方程组，即有限差分方程组 ， 解此方程组就可以得到原问题在离散点上的近似解。然后再利用插值方法便可以从离散解得到定解问题在整个区域上的近似解。 (Finite Difference Method Numerical solution of differential equations and integro-differential equation approach. The basic idea is to set a continuous solution of the region with a finite number of discrete points instead of a grid consisting of, these discrete points called grid nodes the solution of a continuous area on a given function of continuous variables used in the definition of discrete grid variable function approximation the original equation and boundary conditions in the micro-business operators to approximate differential, integral with the points and to approximate, so the original differential equations and boundary conditions are replaced by algebraic equations near Side, that is, finite difference equations , solve this equation group can get the original problem in discrete points on the approximate solution. And then using interpolation methods can be determined from the discrete solution of the problem solution of the approximate solution on the entire region)

说明：  GUI matlab 数字滤波器图形化设计 包含使用说明和设计报告、ppt(GUI matlab digital filter design graphic design report contains usage instructions and, ppt)

Denmark Technical University的大牛Hansen，第二版风力机空气动力学。(Denmark Technical University' s Daniel Hansen, the second edition of wind turbine aerodynamics.)

在小波变换中基于模极大值降噪算法的子程序(In the wavelet transform modulus maxima based noise reduction algorithm subroutine)

source code for matlab

经典的香农采样定理认为,为了不失真地恢复模拟信号,采样频率应该不小于奈奎斯特频率(即模拟信号 频谱中的最高频率)的两倍.但是其中除了利用到信号是有限带宽的假设外,没利用任何的其它先验信息.采集到 的数据存在很大程度的冗余.Donoho等人提出的压缩感知方法(Compressed Sensing或Compressive Sampling, CS)充分运用了大部分信号在预知的一组基上可以稀疏表示这一先验信息,利用随机投影实现了在远低于奈奎斯 特频率的采样频率下对压缩数据的直接采集.该方法不仅为降低采样频率提供了一种新思路,也为其它科学领域 的研究提供了新的契机.该文综述性地阐述了压缩感知方法的基本原理,给出了其中的一些约束问题和估计方法, 并介绍压缩感知理论的相关问题———矩阵填充,最后讨论了其未来可能的应用前景. (According to the conventional Shannon s sampling theorem,in order to represent the analog signal,the sampling rate should not be less than twice the Nyquist sampling rate.Howev- er,this theorem only makes use of the bandwidth information.As a result,the collected data contain many redundant information.The recently proposed sampling method,compressed sens- ing or compressive sampling(CS),can collect compressed data at the sampling rate much lower than that needed in Shannon s sampling theorem by exploring the compressibility of the signal. This paper presents a review on the basic theory of CS.Some of the restrictions and recovery methods in CS are also discussed.Finally,some potential applications based on CS are presented. )