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VectorScalarQuantization
- 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
quantization
- 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
WSQ_MatLab
- WSQ algorithm code.The algorithm which is popular for compression of fingerprint images is WSQ. WSQ stands for wavelet scalar quantization
DOA
- 信号特征矢量重排法 算法简要说明：该算法是针对相干信号源提出的一种解相干方法，其实现步骤如下： 1.采取N阵元均匀直线标量阵列获取M个相干信号源，假设信号源全部相干（M<N）； 2.求阵列接收数据的最大似然协方差矩阵Rx，并进行特征值分解，确定特征矢量的个数，进而得到重排矩阵的维数L； 3.根据特征矢量重排的法则确定重排矩阵Rr； 4.采取MUSIC算法实现信号源数和DOA的估计（进行100次独立实验）。-Feature vector signal rearr
cdpress
- Static length frequent matching compression for cache data in simple scalar
Quantization-Scalar
- Image Scalar Quantization