Wavelet-Project-21-6-2005

采用RGB模型进行阴影的检测与去除。能够显示前景、背景、去除阴影后的运动目标(RGB model with shadow detection and removal. To show foreground, background, after the removal of shadows moving target)

说明：  在含出差的粒子滤波中加入不同权函数，分析基于何种权函数的粒子滤波更为可用(The Comparative Study Based On Robust Particle Filter of Different Weight Function)

calssification algorithm66

在matlab环境下，介绍了拟合函数的方法，介绍了几种函数拟合的例子(Matlab environment, introduced the method of fitting function, several examples of fitting function)

自适应算法,根据空域相邻块的运动水平,自适应地选择搜索策略,对于小运动块,充分利用中心偏置特性提高算法速度,对大运动块则利用多候选值算法力求得到真实的全局最小值,以确保对各种不同的图像序列都有较高的搜索速度和准确度(Adaptive algorithm, in accordance with the airspace adjacent to the level of block movement, adaptive search strategy to choose, for a small movement blocks, take full advantage of center-biased characteristics of algorithms improve the speed of movement of large pieces of the algorithm using multi-candidate seeks to be the true value of the overall situation minimum, to ensure a variety of image sequences have a high search speed and accuracy)

这里是通信领域中各种基带信号（非常全，几乎最新的都有），用matlab编写，给出了相应的带宽和功率谱密度，很值得学习通信的看看(Here are the various communications baseband signal (very full, almost all the latest), written with matlab, the corresponding bandwidth and power spectral density, it is worth learning to see communication)

fastICA信号处理，详细介绍了用fastICA进行信号处理的过程，以及后面的仿真实验(fastICA signal processing, described in detail with fastICA the process of signal processing, and the subsequent simulation)

this is a matlab for the PSNR. In this .m I have been using the PSNR to evluate the quality of the audio quality. Its a very useful way to do it.

关于multiview active learning的资料(Information on multiview active learning )

散傅里叶变换的性质 一、 实验目的 1、 掌握离散傅里叶变换的性质，包括线性特性、时移特性、频移特性、对称性和循环卷积等性质； 2、 通过编程验证傅里叶变换的性质，加强对傅里叶变换性质的认识。 (The nature of the discrete Fourier transform, the purpose of the experiment 1, to grasp the nature of the discrete Fourier transform, including a linear characteristic, when the shift characteristic frequency-shift characteristic, symmetry, and the circular convolution nature 2, through the programming verification Fu li the nature of the Fourier transform, to enhance the understanding of the nature of the Fourier transform.)