hafumanbianma

matlab code.................................

《精通matlab7.0混合编程》的例子程序，其中涉及MATLAB程序和VC++程序，其中大部分为改书所附光盘。()

modem编程的一些例子源码modem编程的一些例子源码(Some examples of modem programming modem-source programming some examples of source)

matlab/simmatlab/simulinkSfunctionC文件例子源码ulinkSfunctionC文件例子源码(matlab/simmatlab/simulinkSfunctionC paper documents examples of ulinkSfunctionC example source code)

详细讲解信号处理的pdf,里面包含了FFT，小波，希尔伯特-黄变换等内容，是信号处理方面很好的参考资料(Explain in detail the signal processing pdf, which contains the FFT, wavelet, Hilbert- Huang Transform, etc., is a good reference for signal processing, data)

电力系统短路故障计算 ，应用于电力系统分析。(Power system fault calculation)

说明：  永磁同步电机的直接转矩控制算法设计 matlab的仿真(PMSM DTC)

该系统实现粗糙集合中的分辨矩阵与分辨函数的约简方法，该方法可以求出信息系统的属性约简(the system to achieve the rough set to distinguish function matrix and tell about Jane, The method can be used to find information system attribute reduction)

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)

In mid-2003, someone in the Lounge asked for a list of time zones. I said that I had one, but the data was in a CodeBase/FoxBase file. Chris Maunder asked if I could retrieve that data and submit it to CodeProject. After procrastinating a few weeks, I decided to go ahead and not only extract the data, but to write a program to edit that data.