wire_self-relevent

用matlab实现语音的加噪去噪过程，FFT变换(Implementation using matlab voice add process noise denoising, FFT transform)

生成不同幅值、频率的正弦波、三角波，加入噪声，进行频域分析。(Generate different amplitude, frequency sine wave, triangle wave, adding noise, time domain analysis.)

Image processing RANSAC registration

说明：  基于ar方法的频谱估计算法，matlab版()

一个关于matlab中gui界面设计的小程序，适合初学者对gui编程进行一定程度的了解。(A small program on matlab gui interface design, suitable for beginners gui programming to a certain degree of understanding.)

matlab编写的视频监控采集和目标提示软件，请批评指正！！！(matlab prepared video surveillance and target acquisition software tips, please criticism! ! !)

在PDSCH信道下，运用非正交的知识做的系统级仿真，并采用编码译码方式降低用户的误码率。(In PDSCH channel, the use of non-orthogonal knowledge to do system-level simulation, and the use of codec way to reduce user error rate.)

这是一个关于基于VCSOA的光开关的仿真程序。仿真程序基于传输矩阵法设计的，将整个器件在轴向按折射率的不同分成很多层。计算了在外部抽运（即泵浦，加在放大器上的工作电流）呈现周期性变化时，放大器将输出一系列的光脉冲，即光开关。 ( This is a simulation package for computing the characteristics of the VCSOA when acting as an optical switch, which is designed based on TMM( transfer matrix method). The whole device is splitted into many segments in the axis direction according to different index. When the external pump is a periodic signal, the output of the VCSOA would be a pulse train, which can be used as optical switch. )

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)

求积分的matlab源程序,该程序的执行效率比较高，并且简单。(Quadrature matlab source, the efficiency of the program is relatively high, and simple.)