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DS-spread spectrum系统中,噪声为加性高斯白噪声,传统单用户检测,线性解相关多用户检测和最小均方误差多用户检测的性能比较(DS-spread spectrum system, the noise is additive white Gaussian noise, the traditional single-user detection, the linear decorrelating multiuser detection and MMSE Multiuser Detection Performance Comparison)

《数字信号处理——理论、算法与实现》胡广书 书配光盘程序 本光盘共包含三个子目录，分别是DSP_FORTRAN, DSP_C和DSP_MATLAB。DSP_FORTRAN和DSP_C各含有约40个信号处理的子程序，概括了书中所涉及到的绝大部分算法。程序分别由FORTRAN语言和C语言编写（MA模型、ARMA模型及最小方差谱估计三个算法只给出了用C语言编写的程序, 没有给出相应的FORTRAN子程序），并在PC机上调试通过。编译环境是FORTRAN77 V5. 10和TURBO C2. 0。DSP_MATLAB含有近100个用MATLAB编写的信号处理程序，它们是本书各个章节的大部分例题，使用的是MATLAB6.1。(" Digital Signal Processing- Theory, Algorithm and Implementation" Hu Guang book written with the CD-ROM CD-ROM program includes three subdirectories, namely DSP_FORTRAN, DSP_C and DSP_MATLAB. DSP_FORTRAN and DSP_C contains about 40 of the signal processing routine, the book summarizes most of the algorithms involved. Program language and C respectively written in FORTRAN (MA models, ARMA model and minimum variance spectrum estimation is given by the three algorithms only programs written in C language, did not give the corresponding FORTRAN subroutines), and in the PC, through debugging . Compilation environment is FORTRAN77 V5. 10 and TURBO C2. 0. DSP_MATLAB contains nearly 100 written using MATLAB signal processing procedures, which are most of the various chapters of the book examples, using MATLAB6.1.)

optical character recognition is used to convert images of any paper into soft copies

模拟光伏发电系统并网，希望对初学者有所帮助。(Simulation of photovoltaic power generation systems interconnection。Hope to help beginners.)

Numeric method to secant algorithm development for the class

adaptive volterra NLMS filter

增加了声子晶体周期条件： if (mod(ii,19)<9) u(ii,3)=2*u(ii,2)-u(ii,1)+c*(u(ii+1,2)-2*u(ii,2)+u(ii-1,2)) else u(ii,3)=2*u(ii,2)-u(ii,1)+0.5*c*(u(ii+1,2)-2*u(ii,2)+u(ii-1,2)) end(if (mod(ii,19)<9) u(ii,3)=2*u(ii,2)-u(ii,1)+c*(u(ii+1,2)-2*u(ii,2)+u(ii-1,2)) else u(ii,3)=2*u(ii,2)-u(ii,1)+0.5*c*(u(ii+1,2)-2*u(ii,2)+u(ii-1,2)) end)

Kalman滤波理论及其MatLab实现。PDF格式，采用Acrobat Reader7.0以上及兼容版本打开。全文为英文，不喜英文的建议不要下，免得浪费下载数(Kalman Filtering Theory and implementation in matlab.pdf)

DESCRIPTION: This Matlab algorithm performs many tasks associated with power system analysis. First, it has the ability to perform both fully coupled and dc power flow analysis. Second, it has the ability to create measurements (with user-defined error) to be used as input for state estimation. Third, it has the ability to perform state estimation - allowing the user to examine how the placement of measurement devices as well as magnitude of distibution of measurement error affect the discrepency between power flow and state estimation results. In essence, it provides the user with a complete package for the study of both power flow and state estimation in n-bus power systems.

a program,filter method,cartoon-texture decomposition for image,Fast Cartoon + Texture Image Filters(a program,filter method,cartoon-texture decomposition for image,Fast Cartoon+ Texture Image Filters)