ch02

收集的目前比较流行的智能算法的matlab代码，包含：粒子群算法、人工蚂蚁算法、人工免疫算法、免疫粒子群优化算法、差分进化算法、上帝算法等等(Collect the more popular intelligent algorithm matlab code, including: particle swarm optimization, artificial ants algorithm, artificial immune algorithm, immune particle swarm optimization algorithm, differential evolution, God algorithms)

应用于3G，4G 通信系统中的 turbo 解码。应用环境为C，可嵌套CUDA。(Applies to 3G, turbo decoding 4G communication system. Application environment for C, can be nested CUDA.)

用matlab模拟光的衍射现象，并能很好的说明衍射类型与光的传播距离有关。(Matlab simulation using diffraction phenomenon of light and a very good description of diffraction and optical transmission of the type of distance-related.)

Companding is essentially a technique for achieving non-uniform quantization. There are basically 2 methods which are most popular in literature.:-A-law companding and u-law companding. These algorithms help in achieving to an extend, compression. The given code shows how to compress a 14-bit code to 8-bit code and its digital implementation using matlab. Please contact by mail if a detailed description of code is needed.

一个关于模糊PID的MATLAB仿真程序。用FIS工具箱来实现的.(failed to translate)

包含了欧拉梯形，龙格库塔法，汉明积分法等转换程序(Contains the Euler, trapezoidal, Runge-Kutta method, Hamming integration method conversion program)

针对单音信号的科斯塔斯锁相环matlab仿真程序(Costas phase-locked loop simulation for the tone signal)

用matlab 实现bpsk的误码率蒙特卡洛仿真，可以作为编程的范例来用(Using matlab to achieve bpsk BER Monte Carlo simulation ，could be used as a programming paradigm)

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,)

说明：  容积卡尔曼滤波算法，常被用于目标状态跟踪，或者下一时刻的状态预测值(CKF status tracking)