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基于matlab编制的newmark结构动力分析(Matlab prepared based on the Newmark Structural Dynamic Analysis)

matlab在通信原理中的应用，TDM仿真，希望大家能用得上！(matlab in Applied Communication Theory, TDM emulation, hope that we can useful!)

三种冲击滤波器的matlab实现与比较：Comparing 3 shock filters: Osher-Rudin [OR90], Alvarez-Mazorra [AM94] and Gilboa-Sochen-Zeevi [GSZ02eccv,GSZ04pami]. (three shocks Filter Implementation of Matlab and comparison : Comparing three shock filters : Osher- RUDIN [OR90] Alvarez-Mazorra [AM94] and Gilboa-Sochen- Ze Plav [GSZ02eccv, GSZ04pami].)

通过稳态图来识别对机械机构的振动信号，用有理分式多项式法进行模态参数识别(By steady-state map to identify rational fraction polynomial method of mechanical vibration signal, modal parameter identification)

Good paper for a research about the field of medical.

matlab界面编程，适合于界面编程的初学入门。(The introduction to the programmer of matlab.)

matlab源程序，可以仿真出来经典的BA无标度网络模型(Matlab source, can be simulated classic BA scale-free network model)

Salam Des toolbox que j’ai les télécharger depuis qlq année titre se traitement de signal ou bient signal processing

牛顿法,用于优化求解，在图像优化求解,在点散射目标的仿真 (newton)

说明：  SVM用于模式识别 整理别人的代码（原来的是英文）所得： kernel.m用于内积矩阵的计算 svcplot.m用于绘图 svm168.m是主程序 testlin.m是采用线形内积函数的支持向量机应用的 文件 testrbf.m是采用RBF内积函数的支持向量机应用 的 文件 每个文件中都有说明。 仿真平台matlab7.0, 仿真全部通过 将所有文件拷贝到work目录下（注意不要直接将上层文件夹直接拷贝到work目录下，若那样操作，必须在matlab的file菜单中的set path中设置相应的路径）。 打开matlab，在命令窗口中输入 testlin或testrbf 即可查看结果。 (SVM pattern recognition for collating other people's code (the original is in English) from : kernel.m plot within the matrix for the calculation svcplot.m for graphics is the main svm168.m testlin.m procedure is used linear plot function within the SVM application documents testrbf.m RBF is using plot function within the SVM applications each file documents were described. Matlab7.0 simulation platform, all through the simulation of all the documents copied to the work directory (not directly to the attention of the upper folder directly copied to w contex directory, as if the operation, Matlab in the file menu on the set path corresponding set the path). Open Matlab, in the command window or imported testlin testrbf can see the results.)