5

ababoost级联分类器,通过一组弱分类器形成一个强分类器(cascade of classification)

结合实例详细介绍了免疫克隆算法优化函数的程序(Detail with examples immune clone algorithm to optimize the function of the program)

多縫夫朗禾費衍射模擬,對於仿真干涉模擬有非常大的幫助(Multi-slit Fraunhofer diffraction Wo fees simulation, emulation interference simulation for a very big help)

对线性时变模型和非线性模型的预测控制算法进行了仿真分析，设计了两种模型下的模型预测控制的实现(Simulation analysis of linear time-varying model and nonlinear model predictive control algorithm)

这是pi_4_DQPSK的MATLAB仿真源程序，很好的仿真了这种数字调制和解调(This is pi_4_DQPSK the MATLAB simulation of source, a good simulation of this kind of digital modulation and demodulation)

simulation for walsh code (CDMA)

给出了如何使用伪逆滤波器的matlab代码(give a matlab code of pseudo-inverse filter)

Matlab数学建模算法全收录，数学建模比赛必备参考资料(Matlab mathematical modeling algorithm Quanshou Lu, Mathematical Contest in Modeling is an essential reference information)

说明：  BP神经网络进行数据分类，是一种多层前馈神经网络，该网络的主要特点是信号前向传递，误差反向传播。运用梯度下降法，(BP neural network is a multi-layer feedforward neural network for data classification. Its main characteristics are forward signal transmission and back error propagation. Using gradient descent method and BP neural network to classify data is a multi-layer feedforward neural network. The main characteristics of this network are forward signal transmission and back error propagation. Using gradient descent method,)

内附MATLAB学习的基本知识和很多MATLAB程序设计知识，是学习MATLAB的必备手册。(Included learning the basics of MATLAB and a lot of MATLAB programming knowledge, is the essential guide to learn MATLAB.)