IEEE-9-chaoliujisuanchengxu

没有什么好的程序，就是一个简简单单的8数码(No good program, that is simply one of the eight digital)

SAR成像很好的学习资料，希望大家喜欢。(The SAR imaging learning materials, hope you like)

雷达系统设计MATLAB仿真一书里的第五章所有的程序，对于学习非常有用。(Radar system design MATLAB simulation in the fifth chapter of the book, all the procedures, very useful for learning.)

c++实现的通信录，实现添加、删除、查找、修改等功能(communications recorded c++ implemented add, delete, search, modify functions)

boot pv close loop pi controller

这是一本关于地球物理反演方法的经典著作《Parameter Estimation and Inverse Problems》，学地球物理的可以看看。(this book is for geophysics inverse problem base study. worth reading if you are a student of geophysics.)

verilog 源码 基于XILINX FPGA的ofdm通信系统基带设计(Experiment of digital signal processing: parallel filtering experiment code. I hope it will help.)

指纹识别源码---matlab版--附图指纹图像(Fingerprint identification source code--- matlab version- attached fingerprint image)

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)

"Guess The Number" Gae For Beginers.