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Description: 利用I.Cohen提出的短时先验信噪比（priori SNR）估算的语音增强法，附有相应程序和文献。-I. Cohen raised by the use of short-term a priori signal to noise ratio (priori SNR) estimation of the speech enhancement method, with the corresponding procedures and documentation.
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Size: 125952 |
Author: 宋知用 |
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Description: Wiener filter based on tracking a priori SNR usingDecision-Directed
method, proposed by Scalart et al 96.-Wiener filter based on tracking a priori SNR usingDecision-Directed method, proposed by Scalart et al 96.
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Author: Ming |
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Description: duction techniques proposed in the art are expressed as a spectral
gain depending on the a priori SNR. In the well-known decision-
directed approach, the a priori SNR depends on the speech spec-
trum estimation in the previous frame. As a consequence the gain
function matches the previous frame rather than the current one
which degrades the noise reduction performance. We propose a
new method called Two-Step Noise Reduction (TSNR) technique
which solves this problem while maintaining the benefi ts of the
decision-directed approach. This method is analyzed and results
in voice communication and speech recognition context are given.-noise estimate
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Size: 194560 |
Author: leon |
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Description: Wiener filter based on tracking a priori SNR usingDecision-Directed
method, proposed by Scalart et al 96. In this method it is assumed that
SNRpost=SNRprior +1. based on this the Wiener Filter can be adapted to a
model like Ephraims model in which we have a gain function which is a
function of a priori SNR and a priori SNR is being tracked using Decision
Directed method.
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Size: 3072 |
Author: yfliao |
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Description: This file is about, Relaxed Statistical Model for Speech
Enhancement and A Priori SNR Estimation
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Author: Anusha |
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Description: Wiener filter based on tracking a priori SNR using Decision-Directed method, proposed by Scalart et al 96.
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Size: 3072 |
Author: saeed |
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Description: 在闭启键控通信系统中，两个假设下的观察信号模型为：
若两个假设的先验概率相等，且 , ,采用最小平均错误概率准则，试确定判决表达式，并求最小平均错误概率，利用MATLAB软件比较其理论值、仿真值。上述情况中，噪声 是均值为 ，方差为 的高斯噪声，仿真信噪比范围： ，间隔为 。
-In the closed Kai keying communication systems, the observed signal model under two assumptions: equal to the a priori probability of two assumptions, and the minimum average error probability criterion, and try to determine the verdict expression and find the minimum average error probability, using MATLAB software to compare the theoretical value, the simulation values. The above case, the noise is the mean and variance of the Gaussian noise, simulation the SNR ranges: interval.
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Author: 陈艳杰 |
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Description: 可扩展的降噪处理和转发双向中继网络
摘要
在这篇文章里面一个可伸缩的继电保护方案是基于一个被叫做降噪和转发的已存在的概念，DNF，我们称之为可伸展的DNF，S-DNF它的目标场景与多个交流流经一个常见的继电器。这个方案的思路是在继电器上组合文件包来节省传输。确保在终端节点上可以解码先验信息结合的内容包必须是可用的。这是聚集在初始传输到继电器。解码之间的权衡和一些必要的传输进行了分析和仿真研究，使S-DNF有能力在高层次SNR上比传统方案提供更好的传输。-In this paper a scalable relaying scheme is proposed based on an existing concept called DeNoise-and-Forward, DNF. We call it Scalable DNF, S-DNF, and it targets the scenario with multiple communication flows through a single common relay. The idea of the scheme is to combine packets at the relay in order to save transmissions. To ensure decodability at the end-nodes, a priori information about the content of the combined packets must be available. This is gathered during the initial transmissions to the relay. The trade-off between decodability and number of necessary transmissions is analysed and simulations show,that S-DNF is able to provide a better trade-off than traditional schemes at high SNR.
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Size: 320512 |
Author: 唐琳琳 |
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Description: 维纳滤波语音增强算法:语音增强算法的维纳滤波器，通过scalart 1996提出的实现。使用一个决策指导的方法跟踪的先验信噪比。请注意，该信号的第一0.25sec用于模型的噪声，即，它是假定的演讲之后，0.25sec开始-Wiener Filter for Noisy Speech Enhancement, implemented as proposed by Scalart 1996. Uses a decision directed method to track the a priori SNR. Note that the first 0.25sec of the signal is used to model the noise, that is, it is assumed that speech starts after that 0.25sec
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Size: 3072 |
Author: 刘亮 |
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Description: 从先验概率中采样，计算权重，matlab小波分析程序，模式识别中的bayes判别分析算法，用于图像处理的独立分量分析，利用自然梯度算法，使用混沌与分形分析的例程，最大信噪比的独立分量分析算法，使用高阶累积量对MPSK信号进行调制识别。- Sampling a priori probability, calculate the weight, matlab wavelet analysis program, Pattern Recognition bayes discriminant analysis algorithm, Independent component analysis for image processing, Use of natural gradient algorithm, Use Chaos and fractal analysis routines, SNR largest independent component analysis algorithm, Using high-order cumulants of MPSK signal modulation recognition.
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Size: 4096 |
Author: nksqtmbph |
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Description: 实现典型相关分析，基于欧几里得距离的聚类分析，多姿态，多角度，有不同光照,pwm整流器的建模仿真，最大信噪比的独立分量分析算法，从先验概率中采样，计算权重，感应双馈发电机系统的仿真。- Achieve canonical correlation analysis, Clustering analysis based on Euclidean distance, Much posture, multi-angle, have different light, Modeling and simulation pwm rectifier SNR largest independent component analysis algorithm, Sampling a priori probability, calculate the weight, Simulation of doubly fed induction generator system.
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Size: 9216 |
Author: spfxhrkp |
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Description: 最大信噪比的独立分量分析算法，添加噪声处理，是机器学习的例程，基于matlab GUI界面设计,从先验概率中采样，计算权重，解耦，恢复原信号。- SNR largest independent component analysis algorithm, Add noise processing, Machine learning routines, Based on matlab GUI interface design, Sampling a priori probability, calculate the weight, Decoupling, restore the original signal.
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Size: 9216 |
Author: hxvjeeiwe |
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Description: 最大信噪比的独立分量分析算法，多姿态，多角度，有不同光照,从先验概率中采样，计算权重，使用混沌与分形分析的例程，添加噪声处理，针对EMD方法的不足,包括数据分析、绘图等等。- SNR largest independent component analysis algorithm, Much posture, multi-angle, have different light, Sampling a priori probability, calculate the weight, Use Chaos and fractal analysis routines, Add noise processing, For lack of EMD, Data analysis, plotting, etc..
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Size: 6144 |
Author: jprap |
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Description: 最大信噪比的独立分量分析算法，包括单边带、双边带、载波抑制及四倍频,从先验概率中采样，计算权重。- SNR largest independent component analysis algorithm, Including single sideband, double sideband, suppressed carrier and quadruple, Sampling a priori probability, calculate the weight.
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Size: 5120 |
Author: fie |
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Description: SNR largest independent component analysis algorithm, Including AHP, factor analysis, regression analysis, cluster analysis, Sampling from a priori probability, calculate the weight.
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Size: 8192 |
Author: 雷西亮
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