AsynchronizeItemsBinding

说明：  首先对电网节点优化，再PQ分解法求解系统潮流。(First of all, optimization of the power grid nodes, then PQ decomposition method for calculating the trend.)

小波分析的一款工具箱，包括很多有用的实用小波分析工具。(A wavelet analysis toolkit, including many useful practical wavelet analysis tools.)

自己写的一个车牌定位matlab程序，希望对大家有用。(Himself wrote a matlab license plate location process, in the hope that useful to everyone.)

matlab学习资料 matlab自学资料 matlab

自己写的,在matlab环境下将rgb图像转为yuv文件,可适用于444,422,420的格式.(wrote it myself, in the Matlab environment will yuv rgb images to documents, applicable to the 444, 422,420 format.)

求一些信号的均方根时延扩展、信道衰弱速率(Seeking root mean square delay spread of some signals)

FDTD+PML计算光子晶体的程序，很有价值的哦(FDTD+ PML procedure for calculating the photonic crystal, valuable Oh)

《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.)

实现了PLSA的MTLAB算法，分门别类，较详细。(PLSA algorithm to achieve the MTLAB, categories, more detailed.)

随机共振理论及算法，能够实现经典随机共振过程，是源代码(Stochastic resonance theory and algorithms can achieve the classic stochastic resonance process, the source code)