math-course-code_matlab

比较复杂的可进行修改扩展的遗传算法源程序，带有说明文档(Complex can be extended to modify the genetic algorithm source code, with documentation)

the code for dilation , erode ,compliment and morphology are given

扫雷 mine sweeping 方向键可以改变当前位置，按"="键或者"end"键相当于windows 下的双击作用，按空格键标记雷的位置。(A mine sweeping game by matlab code.)

Skeleton to test large-asset handling. The asset in question is one million.

利用matlab自带的BP神经网络工具箱对duffing混沌背景模型进行相空间重构与预测，程序中已经给出duffing函数，主函数中也给出了主要注释，方便大家学习交流。(BP' s own use matlab neural network toolbox for duffing chaotic background model and prediction of phase space reconstruction, the program has been given duffing function, the main function also gives the main note, we facilitate learning exchanges.)

说明：  调度问题中的粒子群优化方法及其应用研究 调度问题中的粒子群优化方法及其应用研究(Scheduling Particle Swarm Optimization Method and Its Application Scheduling Particle Swarm Optimization Method and Its Application)

The program model plane source as the model demonstration of 3D, easy for beginners to learn and exchange

Digital Singal Processing Using Matlab Prentice Hall

matlab 初学者所需要的gui学习工具，帮助你从VC++快速入门matlab gui(a example for matlab gui,for a learner)

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)