Description: This file contains a new and improved version of the Huffman coder, (June 29. 2001). The name is Huff06.m. There are also some additional files which are helpful when using Matlab for data compression: quantizer, different variants of run-length-encoding and end-of-block coding in Mat2Vec, and a program which do JPEG-like entropy coding. A complete compression example is shown in TestMat2Vec.m. This file is all you need for Huffman coding in MatLab.-This file contains a new and improved version of on of the Huffman coder, (June 29. 2001). The name is Huff06.m. There are also some additional files which are helpful wh en using Matlab for data compression : quantizer. different variants of run-length-encoding an d end-of-block coding in Mat2Vec. and a program which do JPEG-like entropy coding . A complete compression example is shown in Tes tMat2Vec.m. This file is all you need for Huffma n coding in MatLab. Platform: |
Size: 25600 |
Author:金金 |
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Description: 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 based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.-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 based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined. Platform: |
Size: 147456 |
Author:prasad |
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Description: 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)
L3_2.bmp: 影像檔
lena.mat: Matlab的矩陣變數檔
-L3_1.m: scalar quantizer design (the program) L3_2.m: quantitative result of the false contour (the program) L3_3.m: Vector quantizer code book of the generation (the program) L3_4.m: training in the use of LBG three different size and dimension of the code book and separate VQ (program) gau.m: ML quantizer design in the denominator of the calculation formula (function) gau1.m: ML quantizer design in the calculation of molecule-type ( function) LBG.m: LBG training method (function) quantize.m: Gaussian probability density function of the non-uniform quantization (function) VQ.m: vector quantization (function) L3_2.bmp: image file lena.mat: Matlab matrix variable file Platform: |
Size: 191488 |
Author:Oki |
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Description: Implementation of a Max Lloyd quantizer using matlab for grey scale images. The quantizer uses random starting conditions and find the locally optimal quantizer levels. Platform: |
Size: 1024 |
Author:bob |
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Description: Implementation of a Max Lloyd quantizer using matlab for color RGB images. The quantizer uses random starting conditions and find the locally optimal quantizer levels. Platform: |
Size: 1024 |
Author:bob |
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Description: 基于lloyd-max最佳量化器的量化程序，如有需要可随时下载。-Based on the best lloyd-max quantizer quantization procedure, if necessary, at any time to download. Platform: |
Size: 10240 |
Author:李严 |
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Description: 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 Platform: |
Size: 23552 |
Author:zhaotao |
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Description: Compute the output of a general delta-sigma modulator with input u,
a structure described by ABCD, an initial state x0 (default zero) and
a quantizer with a number of levels specified by nlev.
Multiple quantizers are implied by making nlev an array,
and multiple inputs are implied by the number of rows in u.
Alternatively, the modulator may be described by an NTF.
The NTF is zpk object. (The STF is assumed to be 1.) Platform: |
Size: 2048 |
Author:hamdi |
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Description: Determine the SNR for a delta-sigma modulator by using simulations.
The modulator is described by a noise transfer function (ntf)
and the number of quantizer levels (nlev). Platform: |
Size: 2048 |
Author:hamdi |
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Description: The ADPCM package is a flexible simulation tool for an adaptive differential encoder and decoder with backward predictor adaptation. It uses an LP-based (Burg) adaptive predictor and a nonuniform quantizer with mu transfer function. It generates the encoded bitstream and estimates the efficiency of a Huffman code for the compressed sequence.-The ADPCM package is a flexible simulation tool for an adaptive differential encoder and decoder with backward predictor adaptation. It uses an LP-based (Burg) adaptive predictor and a nonuniform quantizer with mu transfer function. It generates the encoded bitstream and estimates the efficiency of a Huffman code for the compressed sequence. Platform: |
Size: 25600 |
Author:Maciej Bartkowiak |
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Description: 用MATLAB实现13段折线A律压缩与均匀量化构成的非均匀量化器-13 line in MATLAB A-law compression and quantitative composition of the non-uniform uniform quantizer Platform: |
Size: 3072 |
Author:shen |
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Description: quantizer,考虑多种情况，MATLAB源代码实现，适用于网络传输过程中的信息处理-quantizer, consider a variety of circumstances, MATLAB source code, information processing for network transmission process Platform: |
Size: 43008 |
Author:尛神 |
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Search - MATLAB quantizer