getcore

说明：  双音频按键识别 背景： 打电话拨号时，每次按键会发出不同的声音，这些声音实际上是由一些固定频率的正弦信号合成的。因为每个按键声音包含两个不同频率的正弦信号，因此也被称为“双音频”信号，简记为DTMF。这相当于是对不同键位用‘音频’进行了编码，如同计算机领域中用数字0和1对处理对象（包括键盘）进行编码。(Two-tone buttons identify Background: When you call dial, each key emits different sounds, which is actually made up of some fixed frequency sinusoidal signal synthesis. Because the sound of each key contains two sinusoidal signals of different frequencies, it is also known as &quot two-tone&quot signal, abbreviated as DTMF. This is equivalent to different keys using the ' audio' encoded, as the computer industry with the numbers 0 and 1 pair of processing object (including the keyboard) to be encoded.)

利用LFSR生成伪随机序列（m序列） 对待隐藏的图像进行加密然后利用线性插值的方法隐藏于载体图像中。 代码很完整 用的是MATLAB7.0(Use LFSR to generate pseudo-random sequence (m sequence) to treat encryption to hide the image and then use linear interpolation method of hidden images in the vector. Complete code is used in MATLAB7.0)

在矩形区域内不重叠随机产生初始坐标，作圆。(Draw circles in the rectangle.)

利用MATLAB进行信号处理的具体使用方法(the signal procession with matlab)

On the Kinematic Modeling and Control of a Mobile Platform Equipped with Steering Wheels and Movable Legs

逆合成孔径雷达的多目标架次分辨，用线性调频信号模拟回波(Inverse synthetic aperture radar multi-target sorties resolution, analog echo signal with linear FM)

基于matlab的图形图象加密算法，对图形图象进行行列变换，达到对图象进行加密的功能。(Matlab-based graphical image encryption algorithm, to transform the ranks of graphics images to be encrypted on the image function.)

自己做的一个ns－2下的flood仿真程序演示结果(a flood protol for wsn in ns2 simulator.)

产生射频噪声干扰信号，并画出他的波形和功率谱(RF signal generated noise, and draw his waveform and power spectrum)

A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data generating system. The considered system representations are input/state/output, difference equation, and left matrix fraction. KEYWORDS: subspace identification, deterministic subspace identification, balanced model reduction, approximate system identification, MPUM.