PWMa

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

SOFTWARE DEFECT ASSOCIATION MINING

MATLAB编写的简易计算机~设置GUI界面(MATLAB summary prepared by the computer-settings GUI interface)

这是一个矢量量化的simulink的仿真程序，通过smulink来实现多级矢量量化。(This is a vector quantization of the simulink simulation program, through smulink to realize multi-stage vector quantization.)

简单的遗传算法解决优化问题的汇编代码，包括单变量无约束优化、单变量有约束优化及多变量优化问题，并配以实例进行说明(Genetic Algorithms)

对陀螺仪导航进行卡尔曼滤波的计算与仿真，效果很好。(For gyro navigation kalman filtering calculation and simulation, the effect is very good)

此算法用了LMMSE加RLS算法，对接收信号进行仿真，且仿真得到的误码率很小，在工程中也有一定的实际意义。(This algorithm increases with the LMMSE RLS algorithm, the received signal simulation, and the simulated bit error rate is very small, in the project also has some practical significance.)

说明：  批量读取csv文件 并保存成mat格式 有助于做大量数据处理的人(Read csv file and save into mat format)

几种基本粒子群算法的matlab代码，逐步提升，有助于初学者。(Several basic particle swarm algorithm matlab code, and gradually improve, to help beginners.)

多目标蚁群算法，蚁群算法(ant colony optimization, ACO)，又称蚂蚁算法，是一种用来在图中寻找优化路径的机率型算法。(MOACO，Multi-objective ant colony algorithm)