bWTBB_v33a

modifi bf load flow in matlab

Kalman滤波算法在Matlab中的仿真，主要是针对基本的算法(Kalman filter algorithm simulation in Matlab, basic algorithm)

OpenCV 2 Computer Vision Application Programming Cookbook

matlab数值计算代码，MATLAB开发人员编写，推荐(matlab numerical code, written in MATLAB developers recommend)

齿轮采集的MATLAB数据样本，用于故障诊断，样本采集。(MATLAB data samples collected gear for fault diagnosis, sample collection.)

11.C++ Primer 3rd（中文版）,众所周知的C++学习经典书籍，C++学习圣经(11.C++ Primer 3rd (Chinese version))

用cfd解1一维Riemann问题，采用二阶精度两步差分格式进行数值求解(Cfd solution with a one-dimensional Riemann problem, the use of second-order accurate numerical solution of the two-step difference scheme)

粒子群优化算法计算出的PSS优化模型，为四机两区模型(PSS optimization model calculated by particle swarm optimization algorithm)

说明：  这是用于指纹识别的matlab的程序，完整的哦，共享，也许有用哈(finger)

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)