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ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)最新文献

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Lips detection by morphological image processing 基于形态学图像处理的唇部检测
W. Lie, H. Hsieh
This research discusses the problems of lips localization and feature point detection which have gained much attention in applications such as lip-reading, visual-assisted speech recognition, audio/video synchronization, etc. Our method is primarily based upon morphological processing of time-difference images which highlight lip motions. Experiments show that acceptable results can be obtained.
本文对唇读、视觉辅助语音识别、音视频同步等应用中备受关注的唇定位和特征点检测问题进行了探讨。我们的方法主要基于对突出嘴唇运动的时差图像进行形态学处理。实验结果表明,该方法可以获得满意的结果。
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引用次数: 13
Blind MAI and CCI suppression using adaptive array antennas in DS/CDMA mobile communications systems DS/CDMA移动通信系统中使用自适应阵列天线抑制盲MAI和CCI
B. Xu, T. B. Vu
This paper presents a blind MMSE near-far resistant receiver for a DS/CDMA system by combining reduced-length space-time MMSE (STMMSE) receiver with blind constant-modulus-aIgorithm (CMA) approaches. The reduced-length STMMSE receiver with training sequences is studied first. Two CMA approaches which are capable of combating both ICI and MAI without stringent power control are proposed to generate training sequences for the STMSE receiver.
本文将缩减长度空时MMSE (STMMSE)接收机与盲恒模算法(CMA)相结合,提出了一种用于DS/CDMA系统的盲抗近远MMSE接收机。首先研究了带训练序列的减长STMMSE接收机。提出了两种能够同时对抗ICI和MAI的CMA方法,无需严格的功率控制来生成STMSE接收机的训练序列。
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引用次数: 4
A space and frequency hybrid algorithm to remove block artifacts 一种去除块伪影的空间与频率混合算法
Jiwi Huang, Y. Shi
Postfiltering of block artifacts in decoded images has drawn extensive attention. But less improvements have been made for staircase noise. In this paper a space and frequency hybrid algorithm is presented. First, the edge information in the decoded images is extracted. Based on an analysis of artifacts in the frequency domain, the block effect in the edge image is removed by using a notch filter. The filtered edge image is used for a neighborhood analysis. A space-variant filter, consisting of a 2D LPF and a 1D directional LPF, is then applied to the decoded image to reduce artifacts. Which of the filters is chosen depends on the neighborhood analysis. Finally, the contrast is enhanced. The simulation results demonstrate that the proposed algorithm improves both the subjective visual quality and PSNR of decoded images effectively.
对解码图像中的块伪影进行后滤波已经引起了广泛的关注。但楼梯噪音方面的改善却很少。本文提出了一种空间频率混合算法。首先,提取解码图像中的边缘信息;在分析频域伪影的基础上,利用陷波滤波器去除边缘图像中的块效应。滤波后的边缘图像用于邻域分析。然后,将由2D LPF和1D方向LPF组成的空间变滤波器应用于解码图像以减少伪影。选择哪种滤波器取决于邻域分析。最后,增强对比度。仿真结果表明,该算法有效地提高了图像的主观视觉质量和PSNR。
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引用次数: 2
Parallel implementation on DSPs of a face detection algorithm 一种人脸检测算法的dsp并行实现
F. Yang, M. Paindavoine, H. Abdi
In order to localize the face in an image, our approach consists of approximating the face oval shape with an ellipse and to compute coordinates of the center of the ellipse. For this purpose, we explore a new version of the Hough transformation: the fuzzy generalized Hough transformation. To reduce the computation time, we present also a parallel implementation of the algorithm on 2 digital signal processors and we show that an acceleration of a factor of 1.62 has been obtained.
为了在图像中定位人脸,我们的方法包括用椭圆逼近人脸的椭圆形状,并计算椭圆中心的坐标。为此,我们探索了霍夫变换的一个新版本:模糊广义霍夫变换。为了减少计算时间,我们还提出了一个在2个数字信号处理器上并行实现的算法,并表明得到了1.62倍的加速。
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引用次数: 6
Code transformations for variant linear quadtrees 变线性四叉树的码变换
Pei-Min Chen
Depth-first (DF) and breath-first (BF) linear quadtree representations have the advantages in the performance of image operations and the storage requirements respectively. In this paper, the general guidelines and algorithms for code transformation between BF and DF linear quadtrees are proposed. Thus, we can exploit the advantages of DF and BF representations without suffering their drawbacks. Here, one typical DF linear quadtree scheme (Gargantini, 1982), and two BF linear quadtree schemes with different styles, FBLQ (Chang et al., 1994) with variant length and CBLQ (Lin), with constant length, are selected to depict the guidelines and algorithms. Each algorithm has time complexity O(l), where l is the length of the transformed code. This complexity is much less than that of the BF or DF encoding process for the corresponding image, which is at least of the same order as the number of pixels in this image.
深度优先(DF)和呼吸优先(BF)线性四叉树表示分别在图像操作性能和存储要求方面具有优势。本文提出了BF和DF线性四叉树之间代码转换的一般准则和算法。因此,我们可以利用DF和BF表示的优点,而不会遭受它们的缺点。本文选择一种典型的DF线性四叉树方案(Gargantini, 1982)和两种不同风格的BF线性四叉树方案,变长度的FBLQ (Chang et al., 1994)和定长度的CBLQ (Lin)来描述准则和算法。每种算法的时间复杂度为O(l),其中l为转换后的代码长度。这种复杂度远低于对应图像的BF或DF编码过程,其复杂度至少与该图像中的像素数相同。
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引用次数: 0
Speech enhancement using array signal processing with 4th-order cumulant 基于四阶累积量阵列信号处理的语音增强
F. Asano
A method of speech enhancement using microphone-array signal processing based on the 4th-order spatial cross-cumulant matrix is proposed. The results of the simulation show approximately 5 dB of improvement in noise reduction obtained for a vowel portion of speech.
提出了一种基于四阶空间交叉累积矩阵的麦克风阵列信号处理语音增强方法。仿真结果表明,语音中元音部分的降噪效果提高了约5db。
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引用次数: 0
Reducing the complexity of discrete convolutions by a linear transformation and modulo arithmetic 用线性变换和模算法降低离散卷积的复杂度
M. Wintermantel, E. Luder
For the discrete convolution with a Toeplitz coefficient matrix, a general algorithm with minimum number of multiplications is derived by means of a linear transformation. In order to keep the results applicable to long convolutions with limited wordlength, modulo arithmetic and block-partitioning is introduced. The resulting algorithms reveal small complexity and generate no roundoff noise. The same holds for linear and cyclic convolution algorithms derived from the presented algorithms of the more general Toeplitz convolution. The main advantages of the new algorithms compared to similar algorithms based on number theoretic transforms are a simpler and more general derivation and far less restrictions for the convolution length.
对于具有Toeplitz系数矩阵的离散卷积,利用线性变换的方法导出了一种乘法次数最少的一般算法。为了使结果适用于有限字长的长卷积,引入了模算法和块划分。所得算法复杂度小,不产生舍入噪声。这同样适用于线性和循环卷积算法,这些算法是由更一般的Toeplitz卷积算法推导出来的。与基于数论变换的同类算法相比,新算法的主要优点是推导更简单、更一般,对卷积长度的限制更少。
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引用次数: 0
Weighted median filter based on threshold decomposition 基于阈值分解的加权中值滤波
Sun Shenghe, Wang Wei
Taking advantage of the threshold decomposition property of the stack filter, a kind of weighted median filter is presented based on a threshold decomposition architecture. It allows parallel processing and VLSI implementation, and is effective in the application of image processing.
利用堆栈滤波器的阈值分解特性,提出了一种基于阈值分解体系的加权中值滤波器。它允许并行处理和VLSI实现,在图像处理应用中是有效的。
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引用次数: 0
Adaptive beamforming in colored noise environment 彩色噪声环境下的自适应波束形成
Zhang Linrang, B. Zheng, Liao Guisheng
In many radar/sonar and other application areas, the white noise is an inadequate model for measured data. In this paper, we study the method and performance of adaptive beamforming in a colored noise environment, and analyze the principle of beam distortion. A new adaptive beamforming method is proposed to remedy beam distortion completely, which is verified by computer simulation.
在许多雷达/声纳和其他应用领域,白噪声是测量数据的一个不充分的模型。本文研究了彩色噪声环境下自适应波束形成的方法和性能,分析了波束畸变的原理。提出了一种新的自适应波束形成方法,完全消除了波束畸变,并通过计算机仿真验证了该方法的有效性。
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引用次数: 2
A robust speech feature-perceptive scalogram based on wavelet analysis 基于小波分析的鲁棒语音特征感知尺度图
Yao Kaisheng, C. Zhigang
In real world applications, additive noise will contaminate input speech features for speech recognition and representation when speech recognition systems are working in real environments. There have been many attempts made to find a robust speech feature. In this paper, we propose a robust speech feature, the perceptive scalogram, for speech representation and recognition. The new feature is based on some propositions which state that a human's perception of speech is a perception of specific components of sounds, and the components have a specific changing rate of their short-time spectrum. The proposed perceptive scalogram also takes consideration of the fact that speech is non-stationary, and uses wavelets as its signal analysis tool. Simulation results show the robustness of the perceptive scalogram against additive Gaussian noise.
在现实世界的应用中,当语音识别系统在真实环境中工作时,附加噪声会污染语音识别和表示的输入语音特征。人们已经做了很多尝试来找到一个健壮的语音特征。在本文中,我们提出了一种鲁棒的语音特征——感知尺度图,用于语音表示和识别。这项新功能是基于一些命题,这些命题认为人类对语言的感知是对声音的特定成分的感知,这些成分在短时间频谱中具有特定的变化率。所提出的感知尺度图还考虑了语音的非平稳特性,并采用小波作为其信号分析工具。仿真结果表明了感知尺度图对加性高斯噪声的鲁棒性。
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引用次数: 1
期刊
ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)
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