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Description: CELP
The most common Speech coding scheme is Code-Excited Linear Predictive (CELP) coding, which is used for example in the GSM standard. In CELP, the modelling is divided in two stages, a linear predictive stage that models the spectral envelope and code-book based model of the residual of the linear predictive model.
-CELP The most common Speech coding scheme i s Code-Excited Linear Predictive (CELP) codin g, which is used for example in the GSM standard. In CELP, the modeling is divided in two stages. a linear predictive models that stage the spect Cul envelope and code-book based model of the re sidual of the linear predictive model.
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Author: 赵楠 |
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Description: CELP
The most common Speech coding scheme is Code-Excited Linear Predictive (CELP) coding, which is used for example in the GSM standard. In CELP, the modelling is divided in two stages, a linear predictive stage that models the spectral envelope and code-book based model of the residual of the linear predictive model.
-CELP The most common Speech coding scheme i s Code-Excited Linear Predictive (CELP) codin g, which is used for example in the GSM standard. In CELP, the modeling is divided in two stages. a linear predictive models that stage the spect Cul envelope and code-book based model of the re sidual of the linear predictive model.
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Size: 160768 |
Author: 梓淳 |
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Description: 一个我自己整理打包好的自适应二进制算术编码程序，编码对象为文本文档，可以是任意数据，一般对预测或变换残差数据进行编码。输入输出均为文件。可以直接将文件加入到自己的工程中使用-A finishing packing my own good adaptive binary arithmetic coding procedures, coding for a text document, which can be arbitrary data, the general prediction or transformation of the residual data is encoded. Input and output are files. Documents can be directly added to the use of their own works
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Size: 5120 |
Author: 王奎 |
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Description: 自适应线性预测编码问题，计算LMS迭代时预测误差和系数误差的功率谱，绘出残余能量曲线和学习曲线-Adaptive linear predictive coding problem, when calculating the LMS iterative prediction error and coefficient error power spectrum, plotted the residual energy curve and learning curve
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Size: 2048 |
Author: 随便 |
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Description: 小波分解重构,降噪,压缩编码,压缩性能分析
xijie.m 将图片1级小波分解为近似,水平细节,垂直细节,对角细节
xijie2.m 将图片1和2级分解并重构,近似,水平细节,垂直细节,对角细节
noisereduce.m 图像1/2降噪.
noisereduce2.m全值阀值消噪图像
mycompress.m小波BIOR3.7一次和二次压缩,与一次与二次解压缩
mycompress2.m分析小波分解系数中置0的系数个数百分比和压缩后图像剩余能量百分比-Reconstruction of wavelet decomposition, noise reduction, compression coding, compression performance analysis xijie.m pictures a wavelet decomposition for the approximation, horizontal details, vertical details, diagonal details xijie2.m pictures 1 and 2 decomposition and reconstruction, approximation, the level of details, vertical details, diagonal details noisereduce.m Image 1/2 noise reduction. noisereduce2.m full value mycompress.m threshold wavelet de-noising images BIOR3.7 the first and the second compression, with the first and the second extract mycompress2 . m analysis of wavelet decomposition coefficients to 0 and the coefficient of the percentage of the number of compressed images the percentage of residual energy
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Size: 222208 |
Author: 李红 |
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Description: 这个是一个实现H.263视频编码技术的程序。H.263视频编码标准是一个可以用来压缩包含低比特率情况下有运动图像成分的视听服务的编码表示。该程序的实现了H.263，采用了一种结合了可减少时间冗余的帧间预测和可减少空间冗余的残留信号编码的方面。-Realize this is a H.263 video encoding technology procedures. Video coding standard H.263 is a compression can be used to contain low bit rate motion picture cases have constituents express coding audio-visual services. The program realization of the H.263, uses a combination of redundancy can reduce the time frame of the prediction and can reduce the spatial redundancy of the residual signal coding aspects.
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Size: 47104 |
Author: 纯哲 |
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Description: Simulation of Residual Excited Linear Prediction (RELP) coding for speech:
This simulation give your voice or available clear wav file.This encoder have linear predictor that decreases signal s dynamic (lower quantization level). This technique also use lowpass filtering to make lower bandwidth and reconstruct it with three methods that is chosen in decoder. For example duplicate same spectrum of encoded signal that filtered in upper frequency.-Simulation of Residual Excited Linear Prediction (RELP) coding for speech:
This simulation give your voice or available clear wav file.This encoder have linear predictor that decreases signal s dynamic (lower quantization level). This technique also use lowpass filtering to make lower bandwidth and reconstruct it with three methods that is chosen in decoder. For example duplicate same spectrum of encoded signal that filtered in upper frequency.
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Size: 855040 |
Author: Ardalan |
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Description: H.264/AVC Video Coding Standard
! Standardization, History, Goals, and Applications
! Codec Overview
! Video Coding Layer (VCL)
• Picture Partitioning and Interlace Processing
• Codec Structure
• Motion-Compensated Prediction
• Intra Prediction
• Prediction Residual Coding
• Deblocking Filter
• Encoder Test Model
! Performance
! Network Abstraction Layer (NAL)
• NAL Units and Types
• RTP Carriage and Byte Stream Format-H.264/AVC Video Coding Standard
! Standardization, History, Goals, and Applications
! Codec Overview
! Video Coding Layer (VCL)
• Picture Partitioning and Interlace Processing
• Codec Structure
• Motion-Compensated Prediction
• Intra Prediction
• Prediction Residual Coding
• Deblocking Filter
• Encoder Test Model
! Performance
! Network Abstraction Layer (NAL)
• NAL Units and Types
• RTP Carriage and Byte Stream Format
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Size: 1006592 |
Author: Andrew |
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Description: 强壮的人脸识别系统，发表于cvpr2011年，程序是应用matlab实现-Recently the sparse representation (or coding) based classifi cation (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as
a sparse linear combination of the training samples, and
the representation fi delity is measured by the � 2-norm or
� 1-norm of coding residual. Such a sparse coding model
actually assumes that the coding residual follows Gaus-
sian or Laplacian distribution, which may not be accurate
enough to describe the coding errors in practice. In this
paper, we propose a new scheme, namely the robust sparse
coding (RSC), by modeling the sparse coding as a sparsity-
constrained robust regression problem. The RSC seeks for
the MLE (maximum likelihood estimation) solution of the
sparse coding problem, and it is much more robust to out-
liers (e.g., occlusions, corruptions, etc.) than SRC. An
effi cient iteratively reweighted sparse coding algorithm is
proposed to solve the RSC model. Extensive
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Size: 1216512 |
Author: 刘大明 |
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Description: 人脸识别的稀疏表示识别方法将稀疏表示的保真度表示为余项的L2范数，但最大似然估计理论证明这样的假设要求余项服从高斯分布，实际中这样的分布可能并不成立，特别是当测试图像中存在噪声、遮挡和伪装等异常像素，这就导致传统的保真度表达式所构造的稀疏表示模型对上述这些情况缺少足够的鲁棒性。而最大似然稀疏表示识别模型则基于最大似然估计理论，将保真度表达式改写为余项的最大似然分布函数，并将最大似然问题转化为一个加权优化问题-Recently the sparse representation (or coding) based classification (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as a sparse linear combination of the training samples, and the representation fidelity is measured by the 𝑙 2-norm or 𝑙 1-norm of coding residual. Such a sparse coding model actually assumes that the coding residual follows Gaussian or Laplacian distribution, which may not be accurate enough to describe the coding errors in practice. In this paper, we propose a new scheme, namely the robust sparse coding (RSC), by modeling the sparse coding as a sparsityconstrained
robust regression problem. The RSC seeks for the MLE (maximum likelihood estimation) solution of the
sparse coding problem, and it is much more robust to outliers (e.g., occlusions, corruptions, etc.) than SRC. An efficient iteratively reweighted sparse coding algorithm is
proposed to solve the RSC model.
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Size: 18704384 |
Author: 徐波 |
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Description: 用于有限元软件Abaqus分析材料断裂的粘结区模型（CZM）子程序，由著名学者高彦飞编程，具有很高的参考价值。-ABAQUS allows the addition of a variety of user subroutines. We define a user element by UEL. Information of element and nodal displacements can be obtained from ABAQUS, and we update the stiffness matrix and the residual vector following the cohesive zone law. More coding details can be found in ABAQUS manual.
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Size: 3072 |
Author: 文保丘 |
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Description: 根据《Multipurpose Image Watermarking Algorithm Based on Multistage Vector Quantization》这篇论文进行的基于LABVIEW平台的仿真实验，其中包括了多级-残差矢量量化编码、索引约束矢量量化、鲁棒水印和脆弱水印的嵌入等技术和算法。LABVIEW版本至少为2010。-Multipurpose Image Watermarking Algorithm Based on Multistage Vector Quantization this paper LABVIEW platform-based simulation experiments, including multi-level- residual vector quantization coding, the index constrained vector quantization, robust watermark and fragile watermark embeddingtechniques and algorithms. LABVIEW version at least 2010.
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Size: 456704 |
Author: 王玄 |
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Description: quantizer for the gain in the gain-shape coding of residual.
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Size: 1024 |
Author: huxfkf |
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Description: Linear prediction (LP) is an ubiquitous analysis
method in speech processing. Various studies have focused on
sparse LP algorithms by introducing sparsity constraints into
the LP framework. Sparse LP has been shown to be effective in
several issues related to speech modeling and coding. However,
all existing approaches assume the speech signal to be minimumphase. Because speech is known to be mixed-phase, the resulting
residual signal contains a persistent maximum-phase component.
The aim of this paper is to propose a novel technique which
incorporates a modeling of the maximum-phase contribution of
speech, and can be applied to any filter representation. The
proposed method is shown to significantly increase the sparsity
of the LP residual signal and to be effective in two illustrative
applications: speech polarity detection and excitation modeling.
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Size: 268288 |
Author: pashaa
|
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Description: This paper describes a novel speech coding concept created by introducing sparsity constraints in a linear prediction scheme both on
the residual and on the prediction vector. The residual is efficiently
encoded using well known multi-pulse excitation procedures due to
its sparsity. A robust statistical method for the joint estimation of the
short-term and long-term predictors is also provided by exploiting
the sparse characteristics of the predictor. Thus, the main purpose
of this work is showing that better statistical modeling in the context
of speech analysis creates an output that offers better coding properties. The proposed estimation method leads to a convex optimization problem, which can be solved efficiently using interior-point
methods. Its simplicity makes it an attractive alternative to common speech coders based on minimum variance linear prediction.
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Size: 125952 |
Author: pashaa
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