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传感器网络探测声信号通过特征提取进行目标设别分类(Sensor network to detect acoustic signals through the feature extraction for target-based classification of other)

Ultra-Wideband Communications Systems Multiband OFDM Approach W. Pam Siriwongpairat Meteor Communications Corporation K. J. Ray Liu University of Maryland

数字图像在产生过程中经常会受到噪音污染。因此，对于数字图像应该对其进行去噪音处理。在传统的基于傅里叶变换的信号去噪音方法中，可以使得信号和噪音的频带重叠部分尽可能的小，这样就可以在频域通过时，不需改变滤波方法而将信号和噪音分隔开来。但是，如果信号和噪音的频域重合时，用该方法进行噪音处理的效果就比较差。(digital image in the selection process will be subject to regular noise pollution. Therefore, the digital image should be carried out to deal with the noise. Based on the traditional Fourier Transform method of signal to noise, can result in a signal and noise bands overlap small as possible, so it can be adopted in the frequency domain, the need to change methods of filtering the signal and noise to separate. However, if the signal and noise in the frequency domain coincidence, the method for dealing with the effects of noise on the relatively poor.)

说明：  使用K近邻方法对给定的一个样本进行分类。(K nearest neighbor method using a sample of a given classification.)

多相水平集:对多个不同的灰度级进行分割，本代码是适用于2个级别的。(Multiphase level set to a number of different gray level segmentation, this code is applicable to the 2 regions.)

用matlab实现了SVM算法，并且对两类点进行了分类，给出了图形化的结果。(SVM algorithm is implemented using matlab, and two points on the classification, given the graphical result.)

数字信号处理matlab程序，可以做为参考。(Digital signal processing matlab program can serve as a reference.)

2opt metaheuristic algorithm greedy

利用两幅图像对物体进行重建，基于计算机视觉的(two view reconstruction)

dct隐写技术matlab实现资料。算法原理：通过在一个图像块中调整两个DCT系数的相对大小，隐藏秘密信息。 将载体图像分为8×8的块，做二维DCT变换 用来表示选中的两个系数的坐标对于第i bit秘密信息 if（要隐藏信息‘1’） make else make 逆DCT变换，还原图像 (dct steganography matlab implementation information. Algorithm principle: an image block by adjusting the relative size of the two DCT coefficients, hidden secret information. The vector image is divided into 88 blocks, making two-dimensional DCT transform coefficients used to represent the coordinates of the selected two for the first i bit secret information if (to hide information ' 1 ' ) make else make the inverse DCT, restore image)