SEPIC

一种自适应的单高斯算法，运动目标检测，使用环境是matlab。(An adaptive algorithm for a single Gaussian, moving target detection, the use of the environment is matlab.)

实现对地震数据的一维傅里叶变换 并对数据进行设定工业频率值的情况下滤波 (power frequency filtering)

ActionBar高级定制(仿微信左右滑动TAB页)(ActionBar advanced customization (imitation micro-channel sliding around TAB page))

说明：  通信中理解与应用带通采样的完整simulink模型(Communication Understanding and Application of bandpass sampling simulink model of the complete)

这是一个关于求周期序列的离散傅里叶变换的程序。(This is about the sequence of the cycle for the discrete Fourier transform program. )

this is programming of matlab for watermark making.

三维射线跟踪程序代码1，对研究电离层中射线跟踪有帮助(1 three-dimensional ray-tracing code, the study of ray tracing in the ionosphere help)

说明：  CCNA中文笔记第2章 　DoD模型被认为是OSI参考模型的浓缩品,分为4层,从上到下是1.DoD模型的Process/Application层对应OSI参考模型的最高3层 　　2.DoD模型的Host-to-Host层对应OSI参考模型的Transport层 　　3.DoD模型的Internet层对应OSI参考模型的Network层 　　4.DoD模型的Network Access层对应OSI参考模型的最底2层 (CCNA Chinese Notes Chapter 2 DoD model OSI reference model is considered concentrated products, divided into four layers, from top to bottom is 1.DoD Model Process/Application layer of OSI reference model corresponds to the maximum 3-layer model 2.DoD Host-to-Host layer corresponds to OSI reference model Transport Layer 3.DoD model Internet layer corresponds to OSI reference model Network model Network Access Layer 4.DoD OSI reference model layer corresponds to the bottom layer 2)

shock filter code with matlab

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)