colorsegment

线性拟合源代码，利用偏微分求导的方法进行多元的线性拟合(Linear fitting source code)

使用MATLAB进行对信号的加窗和dtft计算(Carried out using the MATLAB signal increases in the calculation window and dtft)

Implementation Of LRI Learning Algorithm in Cellular Automata Matlab Code

目标做转弯运动，利用卡尔曼滤波器对其进行跟踪滤波(Goal to make the turning movement, using the Kalman filter tracking filter)

This file is a solution for vertical seismic profile -example

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)

Pitch-synchronous synthezis by cepstral model of 5th order.

digital signal processing using MATLAB & WAVELETS PROJECTS AND chapter wise matlab code,figures.

恒虚警门限求解，其中包括该程序所要调用的两个函数(CFAR threshold solution, including the procedure to call the two functions)

this is a gui program for the comparisoof spast past astd and opast algorithm