AC3toMP3-GUI

用matlab仿真实现的雷达图像的几何畸变校正过程(using Matlab Simulation of radar images of the geometric distortion correction process)

说明：  这是书上的代码，C/C++中调用Matlab引擎的数值仿真的实现，供大家参考 (This is the code book, C/C++ Calling Matlab Engine Numerical Simulation for reference)

：滤波 fs=400 采样频率,必须大于两倍基带信号最高频率 ts=1/fs 采样时间间隔 T=5 时间窗大小 t=0:ts:T (hf1=zeros(1,N) hf1(f<=B1&f>=-B1)=1 y1=hf1.*fftshift(y) figure subplot(211) plot(f,abs(fftshift(y))/N,f,hf1, r-- ) axis([-fs/2,fs/2,0,1.2]) title( 原信号频谱 ) xlabel( f /Hz ) subplot(212) plot(f,abs(y1)/N) title( 低通滤波，截止频率90Hz ) xlabel( f /Hz ))

二维的TM波打到一个方形的金属柱上，边界条件为PML(TM wave hit a two-dimensional square metal column, PML boundary conditions)

matlab m文件 EM算法混合高斯模型(matlab m file EM algorithm Gaussian mixture model)

matlab 与HFSS联合仿真的几个例子。非常好用，，一学就会。(A few of examples of matlab with HFSS simulation. It is very nice, and quick to learn.)

这是一个简单的数据生成器，可以生成0到1之间的n维数据(This is a simple data generator can generate 0 to 1 between the n-dimensional 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)

PID用于机器人路径控制的MATLAB程序,路径选择是一个简简单的正弦函数.控制参数是速度和角速度.，已通过测试。 (The MATLAB program PID control for robot path, the path selection is a sine function simply control parameters and angular velocities. Has been tested.)

Not only incredibly useful utility for managing processes, but great tool for learning about the Task Manager