plotspectrum

说明：  非常好的优化文章，介绍了最先进的优化方法，以及多目标的方法(Optimization of very good article about the most advanced optimization methods, and multi-objective approach)

求离散超混沌系统的自相关和互相关函数，本程序使用的是kawakami超混沌系统(for discrete hyperchaotic system autocorrelation and cross-correlation function, This procedure is used in super-chaotic system kawakami)

基于matlab的模糊控制规则，可以进行仿真(Matlab-based fuzzy control rules can be simulated)

SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)

主要完成ask fsk psk 的matlab调制 还有图形仿真(Main completed the ask fsk psk modulation also graphical simulation matlab)

exercise1:为基于小波变化与局部能量的图像融合方法 exercise2:为基于自适应算法的图像融合算法 myfunction1~myfunction5:为性能指标评价函数(exercise1: To change and local energy based on wavelet image fusion method exercise2: adaptive algorithm based image fusion algorithm myfunction1 ~ myfunction5: performance indicators for the evaluation function)

Copyright (c) 2004, Endre Kozma <endre.kozma@axelero.hu> All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. The name of the author may not be used to endorse or promote products derived this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE (Copyright (c) 2004, Endre Kozma <endre.kozma@axelero.hu> All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. The name of the author may not be used to endorse or promote products derived this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A )

该程序为MIMO radar系统的目标检测以及目标估计程序(The program for the MIMO radar target detection and target estimation procedures)

一种基于最大域值平方法的目标识别算法程序.rar(A domain based on the maximum value of level of target recognition algorithm approach procedures. Rar)

一种快速的多叉搜索树，主要用于智能发育机器人方面进行路径规划(A Fast Multi-search tree, mainly for aspects of mental development robot path planning)