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在MATLAB中编写实现图像的不同级别小波分解算法；2选择合适的小波基；3对经典的几幅黑白和彩色图像进行DWT变换；4实现零树、基于塔式网格矢量量化、基于LBG算法、基于标量量化等小波变换编码；5得到分析比较结果。达到的目的：1综合训练学生编程的能力；2对高数、计算方法、程序设计、数据结构、算法、数字图像处理等课程的复习和运用；3可培养学生的算法设计和分析能力。-in MATLAB prepared to achieve different levels of image wavelet dec
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有关标量量化的lloyd-max方法及信噪比，信息熵，最小平方距离的度量方法-The scalar quantization of the lloyd-max method and signal to noise ratio, information entropy, least squares method of distance measurement
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L3_1.m: 純量量化器的設計(程式)
L3_2.m: 量化造成的假輪廓(程式)
L3_3.m: 向量量化器之碼簿的產生(程式)
L3_4.m: 利用LBG訓練三個不同大小與維度的碼簿並分別進行VQ(程式)
gau.m: ML量化器設計中分母的計算式(函式)
gau1.m: ML量化器設計中分子的計算式(函式)
LBG.m: LBG訓練法(函式)
quantize.m:高斯機率密度函數的非均勻量化(函式)
VQ.m: 向量量化(函式)
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采用矢量量化对语音信号量化，并与标量量化对比分析，绘制了语音信号的概率密度曲线-The use of vector quantization for speech signal quantization and scalar quantization and comparative analysis, rendering the speech signal probability density curve
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256色灰度图像压缩
256色灰度图像dct变换-标量量化-反标量
量化-反DCT-256-color grayscale image compression 256-color grayscale image dct transform- scalar quantization- Anti-scalar quantization- Anti-DCT
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Author: This Code written By Dr. Faisel G. Mohammed
(Lecturer in Science college- Computer Dep.-Iraq: Email: fgmnjt@scbaghdad.edu.iq )
Purposes: for Bsc Students in Multimedia Lab.
To Learn Vector and scalar Quantization Algorithms in digital
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在c语音的环境中，多描述编码的标量量化的实现-In c voice environment, multiple descr iption scalar quantization coding to achieve
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scalar quantization lecture gives the idea about scalar quantization
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本文件利用matlab对图像进行scalar quantization。程序分别对图像进行了8，16，32，64level量化，同时计算出了不同level的MSE/SNR/PSNR 。-This matlab file realize the scalar quantization on the image. The program quantizes the image with 8, 16, 32, 64 levels respectively, and then compute the v
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Image Compression and Watermarking scheme using Scalar Quantization
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scalar quantization of image and communication over erassure channel and error removal
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video watermarking using scalar quantization
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Speech Coding Standards, SIGNAL PROCESSING TECHNIQUES, STOCHASTIC PROCESSES AND MODELS, LINEAR PREDICTION, SCALAR QUANTIZATION, PULSE CODE MODULATION AND ITS VARIANTS, VECTOR QUANTIZATION, LINEAR PREDICTION CODING, etc.
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Image scalar quantization, reads an image and quantize it with a step n, test images are joined
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要想得到好的性能编码，
仅采用标量量化是不可能的。
当把多个信源符号
联合起来形成多维矢量，
再对矢量进行标量量化时自由度将更大，
同样的失真下，
量化基数可进一步减少，码率可进一步压缩。这种量化叫矢量量化
-To get better performance coded using only scalar quantization is impossible. When a plurality of source symbols are combined to f
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简要介绍了标量量化和矢量量化的相关知识。标量量化包括了固定量化、自适应量化、基于视觉的量化等。矢量量化包括了其基本原理和LBG,Lattice两种实现方法。-Brief scalar quantization and vector quantization related knowledge. Scalar quantization including fixed quantization, adaptive quantization, the quantization based on the
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用训练序列和lloyd算法，对一个正弦信号数据进行标量量化。-Using the training sequence and lloyd algorithm, a sinusoidal signal data scalar quantization.
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用训练数据优化DPCM方法，对一个余弦信号数据进行标量量化。-we take optimize the training data DPCM method for the cosine signal data scalar quantization to get a wonderfull understanding.
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adaptive forward scalar quantization
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Image Scalar Quantization
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