Artificial-Immune-Algorithm

ofdm基本原理 信道估计基本算法研究 应用前景(the basic principles of ofdm channel estimation algorithm for application of basic)

本文件主要是关于分支定界算法的MATLAB程序，采用分支定界法来求取线性规划与非线性规划等问题的全局最优解。(This document is a MATLAB program on the branch and bound algorithm using the branch and bound method to strike a global optimal solution of linear programming and nonlinear programming problems.)

说明：  基于遗传算法的OFDM自适应资源分配算法MATLAB源码 OFDM自适应资源分配问题（载波、功率等），是一个既含有离散决策变量，又含有连续决策变量的非线性优化模型，且含有较为复杂的非线性约束，因此适合采用智能优化算法进行求解。 (Adaptive genetic algorithm-based resource allocation algorithm for OFDM OFDM MATLAB source adaptive resource allocation problem (carrier, power, etc.), is a decision with both a discrete variable, but also with continuous decision variables of the nonlinear optimization model, and contains more complex non-linear constraints, so smart optimization algorithm for solving.)

利用ＳＯＲ迭代法求解线性代数方程组，此迭代法是数值计算方法中的基本方法之一。(The use of the SOR iterative method for solving linear algebraic equations, this iterative method is one of the basic method of numerical methods.)

一个完整的SVM分类器的程序，matlab编写的。(A complete program SVM classifier.)

说明：  OFDM系统接收部分的matlab仿真源代码(OFDM system receives some source code matlab simulation)

matlab的经典算法--用于各种插值与拟合(matlab classical algorithm- interpolation and fitting)

hvdc_vsc in matlab simpower simulink

two y axis plot for matlab

说明：  每个传感器具有一定的范围和精度，而且周围环境可能对它们产生干扰。即单传感器只能提供部分不精确的信息，从而不能排除对外界环境描述的歧义性。鉴于各传感器性能上的差异表现出的互补性，如果综合各个传感器的信息，就能得到比单一传感器所能提供的更准确可靠的信息。简言之，与单一传感器相比，多传感器数据融合由于信息的冗余性和互补性存在很多方面的优势。 多传感器融合(Each sensor has a certain range and accuracy, and the surrounding environment may interfere with them. That is to say, a single sensor can only provide some inaccurate information, so it can not rule out the ambiguity of the description of the external environment. In view of the complementarity of the differences in the performance of each sensor, if we synthesize the information of each sensor, we can get more accurate and reliable information than a single sensor can provide. In short, compared with a single sensor, multi-sensor data fusion has many advantages due to the redundancy and complementarity of information.)