ar_modle

说明：  一些自己编写的图像插值算法程序。包括最近邻插值，双线性插值和双三次插值(-Recently, the field of bilinear interpolation and interpolation matlab source, comparing the effects of two algorithms.)

该代码为基于PID神经网络的系统控制算法(The code for the neural network system based on PID control algorithm)

说明：  matlab图像处理命令大全 是一个较入门的图像处理指令合集(matlab image processing command Daquan is a more entry-collection of image processing instructions)

基于matlab的基本粒子群优化算法，可应用与最优潮流计算等(Matlab-based optimization of the particle swarm algorithm can be applied with optimal power flow calculation)

一种基于matlab/simulink的风力力发电建模系统，里面有非常多实用的模型能直接使用 (A wind power generation modeling system based on matlab/simulink, there are very practical model can be used directly)

1、利用自相关法找出含有大量数据的周期信号的周期 2、利用互相关对齐含有大量数据的多路采样信号以便分析 3、使用分段平滑经过求导后的含有干扰的图像曲线(1, using the autocorrelation method contains large amounts of data to identify the period of the periodic signal 2, using the cross-correlation contains a large amount of data aligned with the sampling signal for the multiplexed analysis, the use of segmented through derivative after smoothing with interference by the image curve)

元胞自动机模型中的BJH模型，用于模拟仿真交通流现象(Cellular automata model BJH model for simulation of traffic flow phenomena)

双输入DCDC系统，用于燃料电池汽车的燃料电池和蓄电池输入能量管理(Dual input DCDC system for fuel cell vehicles and fuel cell battery input energy management)

this is a code to calculate the moment invariant of images. the values which come out are capable of removing rotational, scaling, transnational variation in image given as input.classification can be done with the help of it.

设计一CQMFB，低通滤波器H_0 (z)来自一半带滤波器。该半带滤波器的长度为47，通带截止频率ω_p=0.42π，试给出H_0 (z)，H_1 (z)，G_0 (z)，G_1 (z)的幅频响应，单位抽样响应并画图。试着产生一信号，它由两个正弦加白噪声组成，一个在低频，一个在高频，正弦的频率及和白噪声的信噪比自己给定。试用所设计的滤波器组对该信号进行分解和重建。比较重建后的效果，并对结果继续进行分析。(Design a CQMFB, low pass filter H_0 (z) the half-band filter. The length of the half-band filter 47, passband cutoff frequency ω_p = 0.42π, try to give H_0 (z), H_1 (z), G_0 (z), G_1 (z) of the amplitude-frequency response, the unit sample response and Paint. Try to generate a signal that consists of two sinusoidal composition plus white noise, a low frequency, a high frequency in the signal to noise ratio, frequency and sine and white noise of its own given. Trial designed filter group that signal decomposition and reconstruction. Results were rebuilt, and the results continue to be analyzed.)