buifou_v89

有些資料夾要自己件歐像存照片的資料夾 下指令的時候 match( sourceig_NEW

SIMULATION KEYBOARD INPUT

MATLAB高效编程技巧与应用：25个案例分析》源程序大量matlab源码！经本人验证，非常好的东西！(source a lot of matlab source! After I verify, very good thing!)

基于伪随机序列的DS-CDMA系统性能分析(Basic framework-based communication system, DS-CDMA system performance analysis...)

遗传算法二位函数测试,主要测试遗传算法的寻优能力(Genetic algorithm two bit function test)

matlab couse band pass high low very very low, butter, butord, chevychebs etc etc

直接序列扩频伪码跟踪simulink仿真程序，仿真PN码捕获，跟踪过程完整过程。(Direct sequence spread spectrum code tracking simulink simulation program, emulation PN code acquisition process complete process of tracking.)

This is code for Haralick feature extraction for image in matlab. The basis for these features is the gray-level co-occurrence matrix. This matrix is square with dimension Ng, where Ng is the number of gray levels in the image. Element [i,j] of the matrix is generated by counting the number of times a pixel with value i is adjacent to a pixel with value j and then dividing the entire matrix by the total number of such comparisons made.

三步法哪l是一种较好的搜索算法，快速而且高效，它是在对数法的基础上对 其进行了改进，提出在每一步搜索后搜索步长均减半的算法。它基本保持了FS的 性能，但其计算量只有FS的10％左右。TSS在会议电视和可视电话中应用较多， 它通过三步搜索，逐步较小搜索步长。若最大搜索范围为士7，搜索精度取一个像 素，则步长为4、2、1，共需三步即可满足要求，从而得名。 (L three-step method which is a better search algorithm, fast and efficient, it is on the basis of the number of law be improved, made in every step of the search after the search step of the algorithm are reduced by half. It basically maintained the performance of FS, but the calculation is only about 10 of FS. TSS at the meeting on television and video telephony in the application of more three-step search through progressively smaller search step. If the maximum search range of disabilities 7, search for a pixel accuracy, the step size for the 4,2,1, a total of three steps to meet the requirements, thus its name.)

SVM for Classification and Regression,其文中附有相应的网址，并可以下载SVM，结合相应的实例进行讲解(SVM for the Classification and Regression. his article with the corresponding web site and can be downloaded SVM, with the corresponding example to explain)