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基于 DCT(离散余弦变换 )域的信息隐藏算法是目前应用最广的变换域算法 ,此类算法的最大不足是嵌信息量小。通过分析 DCT域隐藏算法隐藏容量少的原因 ,提出了一种大容量的 DCT域信息隐藏算法。算法首先对载体图像进行频谱均匀化处理 ,然后对图像进行全局 DCT变换 ,并将隐藏信息嵌入到载体图像的低频 DCT系数上 ,信息嵌入采用分段量化的方法实现 ,提取隐藏信息时不需要原始载体图像。实验结果表明 ,该算法的嵌入容量大 ,不可感知性好。-Based on DCT (discrete cosine
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In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly bas
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输入YUV文件,输出RAW文件,可以改变图像的量化步长,运动矢量-YUV input file, output RAW files, you can change the image quantization step, motion vector
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对WAV音频文件进行PCM量化及编码,最终生成二进制向量-PCM WAV audio files on the quantization and coding, ultimately generating a binary vector
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PAV (H265) 是 音视频 压缩解压 协议,非常不同于H264/MPEG4,ZPAV (H265) 的基本算法 是 小波,多级树集合群,广义小波,数学形态小波,......
ZPAV (H265) 基本算法 :
1,图象与声音分解与合成 :小波 ;
2,图象与声音前处理 :小波子带零交叉降噪,目标纹理处理,语音处理 ;
3,速率控制 :小波子带熵速率控制 ;
4,量化与反量化 :小波子带熵量化与反量化 ;
5,低频分量和高频分量的降维 :小波子带邻域交
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使用学习矢量量化网络的控制图模式识别,里面包含七种模式识别的比较,资料非常珍贵。-Control chart pattern recognition using learning vector quantization networks, this article is very nice.
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Vector Quantization Classifire with LBG
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对初学者非常实际非常方便的矢量量化的C语言实现 ,值得-Very practical very convenient for beginners C language implementation of vector quantization is worth
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ArcEngine空间数据编辑。提供编辑矢量化等功能-ArcEngine spatial data editing. Editing functions such as vector quantization
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地图中等值线的识别与矢量化,可以实现从栅格地图中获取等值线(The isoline map of recognition and vector quantization, the contour can be implemented from the grid map)
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对初学者非常实际非常方便的矢量量化的C语言实现 ,值得(Very practical very convenient for beginners C language implementation of vector quantization is worth)
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就是使用矢量量化中的经典算法LBG算法,实现图像压缩(Is the use of vector quantization in the classic algorithm LBG algorithm to achieve image compression)
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用于计算设计矢量量化码书,采用Matlab进行编写,方便易懂(For computing vector quantization codebook design, using Matlab for writing, easy to understand)
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通过粒子群算法改进了矢量量化,有利于图像的压缩(The particle swarm optimization is used to improve the vector quantization, which is beneficial to the compression of the image.)
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LVQ网络(Learning Vector Quantization)是SOM的一个变种,但是学习方法仍然是Kohonen的竞争方法,说他是变种,因为这个算法是一种有监督的方法。(LVQ network is a variant of SOM, but learning method is still a competitive method of Kohonen. It is a variant because it is a supervised method.)
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Learning Vector Quantization Neural Network Based External Fault
Diagnosis Model for Three Phase Induction Motor Using Current
Signature Analysis
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Learning Vector Quantization (LVQ) and k-Nearest
Neighbor for Intrusion Classification
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matlab情况下基于矢量量化的说话人识别技术与实现(Speaker recognition technology based on vector quantization)
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K-means聚类算法的matlab实现(k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each obse
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基于矢量量化(VQ)的说话人识别实验MATLAB源程序(Speaker Recognition Experiment MATLAB Source Program Based on Vector Quantization (VQ))
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