mako

说明：  利用Matlab软件平台对JTC进行了图像识别仿真实验，得到了二维及三维相关输出图像，显示出尖锐的相关峰。仿真实验表明：联合变换进行图像识别中存在强烈的零级干扰，干扰信号是有用信号的7.14倍，输出结果不理想；采用功率谱相减法可以消除零级强干扰，进而提高了图像的识别能力。(Simulations of joint transform correlator (JTC) using Matlab is implemented, and the 2-D and 3-D drawings of the correlation image are obtained. In the simulation experiments, the sharper correlation peaks are showed. The result shows that strong disturbance of zero rank exists in the simulation of JTC, and it is 7.14 times stronger than the useful signal thus, the power spectrum subtraction is used to eliminate the strong disturbance, and the capacity of image recognition is improved.)

aco matlab code ant colony optimization matlab code acs algorithm

this is static var compensator based on fuzzy logic controller

仿真比较4QAM和4FSK调制信号在瑞利衰落信道下的误符号率和误比特率性能(Simulation comparison 4QAM and 4FSK modulated signals in Rayleigh fading channels under the symbol error rate and bit error rate performance)

这篇文章为随即和非随机的散射环境中造成的信封衰落提供了一个AR模型。它展示了至少需要一个二阶AR过程去建立一个伏在接收信封内在的阻尼正弦自动/交叉相关函数的模型。通过对模拟值的比较得到使用模型可以得到与理论值近似的值。模型基于的仿真过程被用来与JACK仿真器在随机分散事件中作比较。(his work presents an autoregressive (AR) model for fading envelope influenced by isotropic and non-isotropic scattering environments. It is shown that at least a second order AR process is required to model the damped sinusoidal auto/cross correlation function inherent in the complex received envelope. The comparison of statistics of the simulation trace obtained using the model shows good agreemeqt with the theoretical values. The model based simulation procedure is compared to the Jake s simulator for isotropic scattering case and is shown to exhibit an order of magnitude smaller time complexity. )

根据系统的阶跃响应，计算时域性能指标（比如超调量、峰值、调节时间等）。(According to the step response of the system, calculate the time-domain performance indicators (such as overshoot, peak, adjust the time).)

it s a matlab function to calculate the displacement modal shape,frequency of the structure,some input files are also included in the package,it s a good function for studying dynamic system

data mining k nearest neighbour

Matlab基础及其应用教程，系统介绍Matlab工具如何使用(Matlab Basic Tutorial)

apf with different controllers