dijkstra

lssvm多分类算法 (Multi-classification algorithm)

matlab学习，适合初学者对matlab软件进行学习(matlab learning software for beginners to learn matlab)

说明：  本代码用于matlab中数字信号得快速傅里叶变换及频谱分析(This code is used in matlab digital signal FFT and spectrum analysis)

DSB的调制与解调MATLAB下的系统仿真(DSB modulation and demodulation system simulation under MATLAB)

《基于MATLAB系统分析与设计－－控制系统》一书的源程序("based on MATLAB analysis and design-- Control System," a book of the source)

《数字信号处理：基于计算机的方法（第三版）》资源下载第二部分。 著者： （美）米特拉著 作译者： 孙洪等译 ISBN号： 7-121-02652-X 出版日期： 2006-06 出版社：电子工业出版社 内有书中部分事例的解题过程（英文），PDF格式。()

GA遗传算法与PSO离子群组合算法matlab程序，以下是使用本程序的简单介绍与使用步骤 1）修改设计变量个数 NPar变量定义的是设计变量个数，本例为8，使用时需根据自己实际情况进行修改。 2）修改设计变量的上下限 VarLow 与VarHign定义的是设计变量的上下限，使用时需根据自己实际情况进行修改。记住，变量的维数，要与1）变量个数一致哦。 3）修改FunName 变量FunName定义的是优化目标函数值的计算函数，根据自己实际情况改成自己的函数名。 4）修改最大迭代次数MaxIterations 要根据自己的问题实际，通过试算找出合适的MaxIterations数。 如果，你对GA与PSO比较精通，还可以通过修改KeepPercent、CrossPercent来提高算法的效率，但是对于初学者来说，上述的步骤与操作已经足够，所以其它不再赘述。祝你好运！ (GA genetic algorithm and PSO Ion combination algorithm matlab program, the following is a brief description of the use of this procedure with the use of step a) to modify the design variables are defined by the number of NPar variable number of design variables, in this case eight, when used according to need their actual situation changes. 2) modify the design variables on the lower limit is defined VarLow and VarHign upper and lower limits of design variables need to be modified when used according to their actual situation. Remember, dimensions variable, the number to be with a) variable consistency oh. 3) Modify FunName variable FunName definition is to optimize the objective function value calculation function, according to their actual situation into their own function name. 4) Modify the maximum number of iterations MaxIterations issue according to their actual, through spreadsheets to find the appropriate number MaxIterations. If you are more proficient GA and PSO, but also can)

说明：  MATLAB实现的NARX模型辨识程序，适用于初学模型辨识的学者理解NARX模型辨识方法(The NARX model identification program implemented by MATLAB is suitable for the scholars who are learning model identification to understand the NARX model identification method.)

qpsk signal detection in smart antennas using lms algorithm

rectification of stereo images using stereovision