FIR_pinlv

这是一份有关matlab开发练习的源程序，希望大家支持下。(This is a practice matlab source development, I hope you will support the next.)

matlab code to convert image from 2d to 3d

认知无线电功率控制方面一些重要参考文献，对研究功率控制方面的初学者很有帮助(Cognitive radio power control some important references，the study of power control for beginners is helpful)

说明：  SAR图像的滤波器，包括GAMMA、lee以及中值滤波(SAR image filters, including GAMMA, lee, and median filtering)

matlab程序，可将matlab中计算的曲面保存为AutoCAD的脚本文件，导入AutoCAD中绘制相应曲面。(matlab program matlab calculate the surface to save the AutoCAD script file, import the corresponding surface is drawn in AutoCAD.)

基于MATLAB开发的航天器轨道动力学程序包。(Program package of orbit dynamics of spacecrafts based on MATLAB.)

hi im kamran and i want to introduce my self i mhappy to meet you. bye

卡尔曼滤波算法，在matlab6.5环境下运行通过，包含完整步骤说明(Kalman filter algorithm, in matlab6.5 environment run by, contains a complete description of the steps)

hamming编码和RS码，在AWGN下性能(hamming codes and RS codes in AWGN performance)

多目标优化 相对传统多目标优化方法, PSO在求解多目标问题上具有很大优势。首先, PSO的高效搜索能力有利于得到多目标意义下的最优解 其次, PSO通过代表整个解集的种群按内在的并行方式同时搜索多个非劣解,因此容易搜索到多个Pareto 最优解 再则, PSO的通用性使其适合于处理所有类型的目标函数和约束 另外, PSO 很容易与传统方法相结合,进而提出解决特定问题的高效方法。就PSO 本身而言,为了更好地解决多目标优化问题,必须解决全局最优粒子和个体最优粒子的选择问题(Compared with the traditional multi-objective optimization of multi-objective optimization method, PSO in solving multi-objective problem has a great advantage. First, PSO is conducive to the efficient search capabilities are more objective sense of the optimal solution Secondly, PSO representative of the entire solution set through the population by way of the inherent parallel search multiple non-inferior solution, and this can easily search for the most number of Pareto optimal solution Furthermore, PSO' s versatility make it suitable for handling all types of objective function and constraints addition, PSO is easy to integrate with the traditional method, and then propose an efficient way to solve specific problems. The PSO itself, in order to better address the multi-objective optimization problems, the need to address the global best particle and the individual selection of the optimal particle)