Description: 图像融合评价程序，通过均值，标准偏差，熵，梯度，相关系数，光谱扭曲度等多个指标对融合图像进行评价比较。-image fusion evaluation procedures, the mean, standard deviation, entropy, gradient, and the correlation coefficient. spectral distortion degree of integration of various indicators to evaluate the comparative images. Platform: |
Size: 1050 |
Author:feiyunsy |
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Description: 图像融合评价程序，通过均值，标准偏差，熵，梯度，相关系数，光谱扭曲度等多个指标对融合图像进行评价比较。-image fusion evaluation procedures, the mean, standard deviation, entropy, gradient, and the correlation coefficient. spectral distortion degree of integration of various indicators to evaluate the comparative images. Platform: |
Size: 1024 |
Author:feiyunsy |
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Description: 说明了HR IS 相邻光谱通道图像数据具有高度的相关性, 提出了基于这种特
性和数据插值的畸变像元相关校正方法, 该方法分为两个步骤, 第一步, 利用图像相关性
对图像中的畸变像元进行检测, 目的在于减小图像数据的变化, 减少运算时间 第二步, 通
过曲面拟合方法, 对检测出的畸变像元强度进行校正。实验表明该校正方法, 具有很好的
效果, 并应用到了实际的HR IS 数据处理中。-HR IS shows adjacent channel spectral image data with a high degree of relevance, based on such characteristics and data interpolation pixel related distortion correction method, the method is divided into two steps, first step, the relevance of the use of images of image pixels to detect distortion of the purpose of reducing the image data changes, the second step to reduce the computing time, by surface fitting methods, the distortion of the detected pixel intensity correction. Experiments show that the school is way to have good results, and applied to the actual HR IS data processing. Platform: |
Size: 205824 |
Author:zhaoxiaoguang |
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Description: 针对色度融合容易产生光谱扭曲的现象，本文利用光谱响应函数，传感器偏置和增益等参数从成像机理的
角度解释了IHS融合-Spectrum for the color fusion prone to distortion, this paper spectral response function, the sensor parameters such as offset and gain perspective from the imaging mechanism explains the IHS fusion Platform: |
Size: 359424 |
Author:luwei |
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Description: 文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型-This paper presents methods for speech spectrum prediction based
on Gaussian mixture models. Spectrum prediction may be useful in a packet transmission system where the sensitivity to packet losses is a major problem.
Models of speech are trained by the Expectation Maximization algorithm using pairs, triples etc. of consecutive cepstral vectors.
The models are used to design first, second etc. order predictors.
The prediction schemes are evaluated using the spectral distortion criterion and compared to a simple reference method. The
best prediction scheme obtains an average spectral distortion that
is 0.46 dB less than for the reference method. Platform: |
Size: 296960 |
Author:will |
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Description: 这里介绍了一种基于自适应滤波的噪声抵消法，采用归一化最小均方误差算法，采集实际噪声环境下各种不同信噪比的带噪语音样本进行降噪处理，实验结果表明，处理后信号的信噪比得到了较大程度的提高，大大改善了听音效果，具有很高的可懂度，且语音自然度好，没有失真；并与谱减法进行了比较，自适应噪声抵消法的降噪幅度比谱减法有一定提高，在听音效果上，用自适应噪声抵消法处理后的语音在清晰度，自然度方面优于谱减法。-Here a novel adaptive noise cancellation method using normalized least mean square algorithm, collecting a variety of actual noise environment, the SNR of noisy speech samples for noise reduction, experimental results show that treatment After the signal to noise ratio was greater improvement in the level, greatly improved the listening results, with high intelligibility and naturalness of speech is good, no distortion and were compared with the spectral subtraction, adaptive noise cancellation law than the spectral subtraction noise reduction rate of a certain improvement in the listening results, and with the adaptive noise cancellation method in the treatment of voice clarity, naturalness is better than spectral subtraction. Platform: |
Size: 999424 |
Author:成龙 |
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Description: This M Code simulate the effects of clipping and filtering on PAPR reduction in OFDM-based wireless standard.Also the performance of BER versus SNR of original OFDM signals with PAPR reduction based on clipping and filtering schemes over AWGN channel is evaluated.
The simplest and most widely used technique of PAPR reduction is to basically clip the part of signals that are outside the allowed region.Clipping methode introduces both in band distortion and out of band radiation into OFDM signals which degrades the performance including the BER and spectral efficiency.Filtering can reduce out of band radiation after clipping although it can not reduce in-band radiation distortion.However, clipping may cause some peak regrowth so that the signal after clipping and filtering will exceed the clipping level at some point.To reduce peak regrowth a repeated filtering and clipping operation can be used to obtain a desirable PAPR at a cost of computational complexity increase.
-This M Code simulate the effects of clipping and filtering on PAPR PAPR reduction in OFDM-based wireless standard.Also the performance of BER versus SNR of original OFDM signals with PAPR reduction based on clipping and filtering schemes over AWGN channel is evaluated.
The simplest and most widely used technique of PAPR reduction is to basically clip the part of signals that are outside the allowed region.Clipping methode introduces both in band distortion and out of band radiation into OFDM signals which degrades the performance including the BER and spectral efficiency.Filtering can reduce out of band radiation after clipping although it can not reduce in-band radiation distortion.However, clipping may cause some peak regrowth so that the signal after clipping and filtering will exceed the clipping level at some point.To reduce peak regrowth a repeated filtering and clipping operation can be used to obtain a desirable PAPR at a cost of computational complexity increase.
Platform: |
Size: 11770880 |
Author:shahram |
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Description: 语音增强结果评价框架，其中包括四种语音质量评价方法：信噪比SNR，分段信噪比segSNR，对数谱失真LSD，PESQ。还包括生成设定信噪比语音文件的m文件。也适用于其他领域的语音质量评价。-The speech enhancement results evaluation framework, including the four speech quality assessment method: the SNR signal to noise ratio, segment the SNR segSNR, and the number of spectral distortion of LSD, the PESQ. Also includes the generation of m-files to set the signal to noise ratio voice files. Also applies to other areas of speech quality assessment. Platform: |
Size: 663552 |
Author:刘风 |
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Description: 本文主要介绍了常用的遥感图像算法，然后从数学角度分析融合图像产生光谱失真的原因，并探讨融合图像在空间分辨率增强与光谱信息保持二者之间的关系，最后针对多光谱图像的成像特性，分别提出了基于区域特性的多光谱与全色图像的融合算法及SAR与全色图像的融合算法，并且介绍了基于区域特性的遥感图像融合最新动态及其发展趋势。-This paper describes the algorithm used for remote sensing image, and then fused image from a mathematical point of view of the cause of spectral distortion, and to explore the spatial resolution of the fused image enhancement and spectral information to maintain the relationship between the two, the last imaging for multi-spectral image characteristics, respectively, based on region features multi-spectral and panchromatic image fusion algorithms and SAR and panchromatic image fusion algorithm, and describes the characteristics of remote sensing image based on regional integration and the latest trends. Platform: |
Size: 253952 |
Author:简凡 |
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Description: 研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度
函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了
基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不
仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知
质量。 -Recent research indicates that the speech spectral amplitude distributions could
be fairly described with super-Gaussian probability density function. However, the complexity
of speech signal determines that the distribution statistics ofspeech signal could not be well
described by single simple function. Thus a super-Gaussian mixture model for speech spectral
amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech
signals spectral amplitude is derived. The simulation results show that this algorithm based on
Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech
distortion as compared with the conventional short-time spectral amplitude estimation algorithm. Platform: |
Size: 957440 |
Author:立枣酒 |
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Description: 传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这
一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT)
系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表
示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的
语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优
于传统的语音增强方法。-The spectral components of speech are usually assumed to be independent in traditional short-time
spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm
with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform
(DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral
components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed
model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech
presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show
that the developed method has better noise suppression performance and lower speech distortion compared to the
traditional speech enhancement method. Platform: |
Size: 1054720 |
Author:立枣酒 |
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Description: The magnitude
and power spectrum are non-negative variables, and any negative estimates
of these variables should be mapped into non-negative values. This nonlinear rectification process distorts the distribution of the restored signal.
The processing distortion becomes more noticeable as the signal-to-noise
ratio decreases. In this chapter, we study spectral subtraction, and the
different methods of reducing and removing the processing distortions. -The magnitude
and power spectrum are non-negative variables, and any negative estimates
of these variables should be mapped into non-negative values. This nonlinear rectification process distorts the distribution of the restored signal.
The processing distortion becomes more noticeable as the signal-to-noise
ratio decreases. In this chapter, we study spectral subtraction, and the
different methods of reducing and removing the processing distortions. Platform: |
Size: 581632 |
Author:ngocan |
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Description: This function implements the composite objective measure
proposed in [1]. It returns three values: The predicted rating of
overall quality (Covl), the rating of speech distortion (Csig) and
the rating of background distortion (Cbak). The ratings are based on the 1-5 MOS scale.In addition, it returns the values of the SNRseg, log-likelihood ratio (LLR), PESQ
and weighted spectral slope (WSS) objective measures. -This function implements the composite objective measure
proposed in [1]. It returns three values: The predicted rating of
overall quality (Covl), the rating of speech distortion (Csig) and
the rating of background distortion (Cbak). The ratings are based on the 1-5 MOS scale.In addition, it returns the values of the SNRseg, log-likelihood ratio (LLR), PESQ
and weighted spectral slope (WSS) objective measures. Platform: |
Size: 5120 |
Author:sami |
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Description: LogiCORE IP Digital Pre-Distortion v5.0-Pre-distortion negates the non-linear effects of a power
amplifier (PA) generated when transmitting a
wide-band signal. Pre-distortion allows a PA to achieve
greater efficiency by operating at higher output power
while still maintaining spectral compliance, reducing
system capital and operational expenditure Platform: |
Size: 1065984 |
Author:zhangbinbin |
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Description: 计算两幅灰度图像或多光谱图像的光谱扭曲程度-Calculated two gray image or multi-spectral image distortion of the light Platform: |
Size: 1024 |
Author:李子 |
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Description: 评价两幅遥感影像的均值、标准差、偏差指数、信息熵、平均梯度、相关系数和光谱扭曲程度-Evaluating of two remote sensing images mean, standard deviation, deviation index, entropy, average gradient, the degree of correlation and spectral distortion Platform: |
Size: 1024 |
Author: |
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Description: 这个程序可以对融合影像进行定量评价。可以得到影像的影像均值,偏差指数,信息熵,平均梯度,相关系数,光谱扭曲程度是。-This program can be fused image quantitative uation. Video images can be mean deviation index, entropy, average gradient, correlation coefficient, spectral distortion degree yes. Platform: |
Size: 1024 |
Author:孟凡晓 |
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Search - Spectral Distortion