ParticleEx1

用不加权的递推最小二乘法进行参数估计，用于系统辩适、仿真(Using non-weighted recursive least squares parameter estimation method for systems dialectical relevance, simulation)

Matlab在人工神经网络计算机仿真中的应用。通过仿真实例表明，Matlab是进行人工神经网络计算机仿真的有力工具(Artificial Neural Network in Matlab computer simulation applications. The simulation examples show that, Matlab is a computer simulation of artificial neural networks a powerful tool for)

建立一个MIMO系统，通过这个系统可以很好的了解到整个MIMO系统组成和结构(The establishment of a MIMO system, the adoption of the system can be very good that the whole composition and structure of MIMO systems)

Matlab code for Kalman filter

使用Schmidl&Cox算法实现系统符号同步，在理想信道、CM1-4(UWB信道的四种经典模型)和AWGN信道下分别进行了仿真。(Schmidl &Cox algorithm is Used for symbol synchronization , in ideal channel, CM1-4 (four classic UWB channel model) and AWGN channel.And we can analyse qualities of these channels.)

说明：  Wiener filtering algorithm(WF) for speech enhancement set parameter values smoothing factor in noise spectrum update smoothing factor in priori update

仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 (he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)

利用matlab--无刷直流电机建模，然后电流滞环控制(Use of matlab-brushless dc motor modeling, then current hysteresis control)

Improved ant clustering algorithm

MATLAB仿真详解.分章节解读.PDF格式.解压后即可观看.(Detailed MATLAB simulation. Sub-section interpretations. PDF format. Decompression can watch later.)