光纤耦合MATLAB程序

现代通信信号在matlab中的实现以应用程序(good)

BP神经网络解决异或问题,用VC可以打开浏览!也可与MATLAB接口使用.(BP neural network solutions differences or problems, with VC can open here! Also with the use of MATLAB interface.)

借助MATLAB软件的绘图功能，对函数的特性进行探讨，广泛联想，大胆猜想，发现进而证实其中的规律。(Braking distance )

本代码为特征提取代码，是从高维数据到低维数据(The source code for the feature selection to reduce the high-dimensional data low-dimensional data)

说明：  经典布谷鸟算法（包括莱维飞行），可直接运行，很好的资源(Classic cuckoo algorithm (including Levy flight), can be run directly, good resources)

说明：  通过非线性动力学中混沌研究的poincare图可以很方便的识别出周期，拟周期或者混沌运动，该程序实现了poincare图的绘制(Through the study of nonlinear dynamics in the chaotic poincare map can easily identify periodic, quasi-periodic or chaotic motion, the program achieved poincare mapping)

helicopter paper from nu

1．通过实验加深对快速傅立叶变换（FFT）基本原理的理解。 2．了解FFT点数与频谱分辨率的关系，以及两种加长序列FFT与原序列FFT的关系。 离散傅里叶变换（DFT）和卷积是信号处理中两个最基本也是最常用的运算，它们涉及到信号与系统的分析与综合这一广泛的信号处理领域。实际上卷积与DFT之间有着互通的联系：卷积可化为DFT来实现，其它的许多算法，如相关、滤波和谱估计等都可化为DFT来实现，DFT也可化为卷积来实现。(1. Deepen the experimental fast Fourier transform (FFT) the basic tenets of understanding. 2. Understand the FFT spectrum and points of the resolution, and two extended sequence with the original FFT FFT relations. Discrete Fourier Transform (DFT) and the convolution of two signal processing is the most commonly used basic arithmetic, they relate to the signal and system analysis and synthesis of the wide range of signal processing field. DFT actually convolution and interoperability between contact : DFT into convolution can be achieved in many other algorithms, If relevant, filtering and spectral estimation could be achieved as DFT, DFT into convolution can be achieved.)

arduino tool box for simulation of navigation system

The code implements the following paper: Guorong Xuan, Jiang Zhu, Jidong Chen, Shi Y.Q., Zhicheng Ni, Wei Su, "Distortionless data hiding based on integer wavelet transform" IET Electronics Letters, Volume: 38, Issue 25, page 1646- 1648, December 2002. (ISSN: 0013-5194) The watermark embedding and extraction modules have been implemented separately. The watermark embedding module embeds the watermark using bitplane compression in the integer wavelet transform domain. The watermark extraction module extracts the previously embedded watermark and restores the original image. A logo image is used as a watermark but can be replaced with any thing.