cmsm

digital wathch design in matlab

双链量子遗传算法双链量子遗传算法双链量子遗传算法双链量子遗传算法双链量子遗传算法双链量子遗传算法(DOUBLE qGADOUBLE qGADOUBLE qGADOUBLE qGADOUBLE qGADOUBLE qGADOUBLE qGA)

说明：  图像边缘检测，包括所有常用算法，matlab实现，很有研究价值(Edge detection, including all commonly used algorithm, matlab implementation, great research value)

实现 harris角点提取，精度达到亚像素级，是基于matlab编程的。运行结果良好 。(For harris corner extraction, precision sub-pixel level, is based on matlab programming. Good operating results.)

Gauss消去法、Jacobi法、SOR法解线性方程组的源程序,可以方便得到解(code for solution of linear equations using Gauss elimination method、Jacobi method and SOR method)

论文《基于BP神经网络的PID控制器及其MATLAB仿真》Base_on_BP_neural_networ_ PID_controller_and_MATLAB_simulation.rar(Base on BP neural network PID controller and MATLAB simulation)

间接广义最小方差控制实例，可用于参数未知的情况进行预测控制(indirect Gmvc)

archivo informacion de matlab

《MATLAB统计分析与应用：40个案例分析》程序与数据(" MATLAB statistical analysis and application: 40 Case Studies" program with data)

基于蒙特卡洛方法的主动声纳信号检测性能分析.主动声纳信号检测性能的分析上,目前在计算机仿真中一般假定混响包络的统计特性符合瑞利分布模型。基于此模型,已经有了较完善的理论。然而,在现代高分辨声纳系统中,混响包络的统计特性并不符合瑞利分布模型。此时在接收机工作特性分析时存在大量繁琐的公式推导。因此该文采用蒙特卡洛(M onte Carlo)统计试验方法,实现对瑞利分布混响背景下的主动声纳信号检测性能分析。结合对接收机工作特性曲线的仿真,得出了检测概率的理论值和仿真结果的误差曲线。误差曲线表明,蒙特卡洛方法在主动声纳信号检测的性能评估中是可行的。 更多还原 (Active sonar signal detection performance analysis, computer simulation is generally assumed that the statistical properties of the reverberation envelope distribution model of Rayleigh active sonar signal detection performance analysis based on the Monte Carlo method. Based on this model, has been a better theory. However, in the modern high-resolution sonar system, the statistical characteristics of the reverberation envelope does not comply with the Rayleigh distribution model. At this point in the receiver operating characteristic analysis, there is a lot of tedious formula derivation. In this paper, using the Monte Carlo (M onte Carlo) statistical test methods, active sonar signal detection performance analysis reverberation background Rayleigh distribution. The receiver operating characteristic curve simulation obtained the error curve of the theoretical value and the simulation results of the detection probability. The error curve shows that the Monte Carlo method in the assessm)