完美的OFDM仿真程序

power system and machine modelling using matlab and simulink

很好的机器人轨迹跟踪程序，欢迎大家下载学习(Good path tracking program, are welcome to download study)

基于二阶统计量的盲源分离算法程序,对原始算法做了一定得改进。(blind source separation based on second order statistics，madke some improvement to the origin arithmetic)

这是一个关于垂直腔半导体光放大器（VCSOA，微腔光放大器的一种）中的双稳态曲线计算程序，用Matlab语言写成，可执行。程序是根据VCSOA中的速率方程（Rate Equation）编写的。从曲线上可以看出随着输入功率Pin的变化VCSOA的输出功率Pout的双稳态曲线，是进一步研究该问题的基本素材之一。(This is a computation program for calculating the bistability activity of the vertical cavity semiconductor optical amplifier, which is based on the rate equation in VCSOA. This code is a basis for further investigating other activities in VCSOA related to bistability. )

此文档详细描述了多普勒频移以及多径对信号传输的影响。包含原理分析与推导。同时附有完整的程序以及结果仿真图。讲解全面，帮助很大。(This document describes in detail the doppler frequency shift and the multipath effect on the signal transmission.Contains the principle analysis and derivation.At the same time with complete program as well as the results of the simulation diagram.Interpretation of the overall, a great help.)

BPSK QPSK MSK 16QAM四种调制方式误码率对比(BPSK QPSK MSK 16QAM modulation error rate comparison of four kinds)

The above file will give you various kinds of filter that are applied to a single image and so that you will be able see the effect of that filter to the image.

目标的这项目是到获得了解的 DTMF音代软件和DTMF译码算法（戈泽尔算法） 使用 MATLAB。此项目包含的设计以下的 MATLAB 模块。 1.A 口气代函数的生产信号包含适当色调的一个给定的位数。 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报

用Canny算子检测图像的边缘，可以计算给定图像的边缘，并绘制出来与原图进行对比。(Canny edge)

提出了一种基于图像边缘连接的线段检测方法。数字图像中的线段是由很多线段图元组成,在同一 条线段中,它们的方向是相同的并且受到真实线段的方向约束。因此可以通过提取小的线段图元, 然后分析它们 的连接特性, 进行线段的检测。首先用ADM 算法对图像进行边缘检测, 得到单像素宽的边缘 然后在4 个方向上 进行线段的检测 对初步得到的结果进行合并和验证, 去掉短的线段, 连接临近的线段。经过实验证明, 该方法能 够快速地提取图像中的线段,并且对噪声具有一定的鲁棒性(A line segment connecting a detection method based on image edges. The segment of the digital image is composed by many segments elements, their orientation is the same and by the real line segment direction constraint in the same segment. By extracting a small segment Element can then analyze their connection characteristics for the detection of the line segment. First with ADM algorithm for edge detection on the image to obtain a single-pixel-wide edge then in the four directions on the detection of the line segments merger and verification of the preliminary results obtained, removing the short line segments, the line segments connected near. The experiments show that this method can quickly extract the line segments in the image, and certain robustness to noise)