chengxu

AT91SRAM7 configuration file is very good very practical hope to help you. Learn each other and work together. Take out a Shared

matlab--巴特沃斯高通滤波算法来增强图像(Matlab, butterworth high pass filter algorithm to enhance image)

Stop function Unpacked in UPX The program will not be able to decompress. After using this program

说明：  systemview仿真：(7,4)汉明码编译码器(systemview simulation: (7,4) Hamming Code Codec)

详细介绍了编码原理的基础知识，是编程的入门级必备教材(Details the basics of coding theory, is an essential textbook entry-level programming)

该程序教你如何在vc中调用matlab，包括使用心得(Teach you how to using matlab function in vc++)

Graph Cut algorithm implementation. Includes MATLAB compiled codes.

有关机动目标跟踪，卡尔曼滤波相关的资料，对从事卡尔曼滤波研究，机动目标跟踪的朋友有参考价值 (The maneuvering target tracking, Kalman filtering relevant information, engaged in Kalman filtering, target tracking friends have reference value)

VC++与Matlab混合编程时，所需的lib库文件压缩包(VC++ and Matlab mix program，need liblibrary rar)

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)