intprog

implementation of multi classes negative selection algorithm

适用于turbo码的rsc编码器matlab实现(a rsc encoder for turbo)

matlab几乎所有数值计算程序，都包括在内，数值积分数值微分，方程求根等等，几乎所有需要用到的程序(The matlab almost all numerical procedures, including numerical integration numerical differentiation equation Root, etc., almost all the needed procedures)

matlab中的混合编程及各类接口的使用实例。包括notebook,excel,word,mat,dll,color map,Implicit function，debugging等多个方面的多个实例。(matlab Mixed programming and examples of the use of various types of interfaces. Include multiple instances of multiple aspects of the notebook, excel, word, mat, dll, color map, Implicit function, debugging, etc.)

基于云模型的花片特征提取算法，该算法通过云模型的逆向正态云发生器，由样本点信息，求解出三类花四个特征参数各自的数字特征：期望、熵、超熵。(Based on Cloud Model Motif feature extraction algorithm, which cloud model of reverse normal cloud generator, the sample point information, solving the three spent four the number of features of their characteristic parameters: expectation, entropy, ultra-entropy.)

M-ITERATION CLIPPING PAPR reduction for OFDM

16QAM的调制端simulink仿真，本人初学者练习之用的，希望对初学者有用(failed to translate)

说明：  在考虑汽车零部件包装箱长、宽、高等三维尺寸的约束下，以配送中心为原点，分派多辆同一规格的货车到n个供应商处取货，最后回到配送中心。本章所构建的三维装载约束下的汽车零部件循环取货路径优化模型要解决的问题是确定循环取货路径，要求充分考虑汽车零部件在货车车厢中的三维装载位置，确保每个供应商处的零部件均能成功装载，尽可能使车辆装载率最大，且所有车辆的总行驶路径最短。(In considering the auto parts box length, width, higher dimensional size constraints to the distribution center as the origin, a multi-vehicle dispatch trucks to the same specifications of the pick n suppliers, and finally back to the distribution center. Auto Parts Pick cycle path constructed three-dimensional loading constraints under chapter optimization model to solve the problem is to determine the circulation pickup path requires full consideration in boxcars loaded in three-dimensional position of auto parts, to ensure that each vendor Parts can successfully loaded, as the vehicle maximum loading rate, and the total of all vehicles traveling the shortest route.)

关于非线性离散系统辨识，解耦，恢复原信号，BP神经网络的整个训练过程。( Nonlinear discrete system identification, Decoupling, restore the original signal, The entire training process BP neural network.)

find and fix red eye