维纳滤波LMS matlab

要求使用继电自整定方法对其实施自适应PID控制。 1、选择采样时间0.1s，把对象离散化。 2、加继电（开关）控制，测量对象的Tc,Kc。 3、利用ZIEGLER-NICHOLS 公式表，确定PID参数。 4、实现闭环控制。 5、根据调节效果，修正PID参数。 (Require the use of relay tuning methods for its implementation of the adaptive PID control. 1, select the sampling time 0.1s, the discrete objects. 2, plus relay (switch) control, measurement object Tc, Kc. 3, using ZIEGLER-NICHOLS formula table, determine the PID parameters. 4, closed loop. 5, according to moderating effect, the amendment PID parameters.)

对通信原理中的迫零均衡进行基于MATLAB的仿真(On communication theory in zero forcing equalization MATLAB-based simulation)

利用mallat算法实现对信号的四级分解和重构，程序简单明了，适合初学者学习。(Use mallat algorithm for signal decomposition and reconstruction of four, the program is simple, suitable for beginners to learn.)

有关粒子群算法的源程序，用matlab语言编得，可用于求解函数优化问题(Particle Swarm Optimization on the source, using matlab language was made, can be used to solve the function optimization problem)

说明：  时域有限差分法(FDTD)_原程序+样品输入数据(Finite difference time domain (FDTD) _ the original program+ sample input data)

针对传统粒子群算法初期收敛较快，而在后期容易陷入早熟、局部最优的特点，提出了一种新的混沌粒子群优化算法(For early traditional PSO algorithm converges faster and easier in the late fall early, optimal local characteristics, we propose a new chaotic particle swarm optimization)

pcm编码的MATLAB实现，主要是通过13折线吗，取样量化编码的实现。(pcm encoded MATLAB realize, mainly through the 13 line it, the realization of sampling quantization coding.)

FACE RECOGNITION BASED ON NONLINEAR PCA In order to obtain the complete source code for FACE RECOGNITION BASED ON NONLINEAR PCA

基于离散小波变换的运动伪迹移除方法在脑功能近红外光谱成像中(Motion artifact remaval based on discrete wavelet transform method in brain functional near-infrared spectroscopic imaging)

Raptor结果分析，对实验结果的分析，各种不同类型的曲线描点(Raptor performance analyze)