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

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Adaptive IIR notch filter by frequency estimation for notch Fourier transform 基于陷波傅里叶变换的频率估计自适应IIR陷波滤波器
N. Kudoh, Y. Tadokoro
This paper presents a method to compute Fourier coefficients at arbitrary frequencies. The method is developed for the case that prior knowledge of signal frequencies is not accurate or the frequencies are time varying and additive white noise exists. A less computationally complex algorithm of adaptive constrained IIR notch filters connected in cascade is proposed. The main advantages are as follows: (1) perpetrations of adaptive parameters is reduced, because of estimating notch frequencies by using a recursive LMS algorithm not intermediately from filter coefficients but directly from signal samples; (2) by the feedback of notch frequencies estimated by a less-biased overdetermined frequency estimation method to adaptive parameters, the convergence speed and the perturbation after convergence are improved.
本文提出了一种在任意频率下计算傅里叶系数的方法。该方法是针对信号频率先验知识不准确或频率时变且存在加性白噪声的情况而开发的。提出了一种计算复杂度较低的自适应约束IIR陷波滤波器级联算法。主要优点如下:(1)由于使用递归LMS算法直接从信号样本而不是从滤波器系数中间估计陷波频率,减少了自适应参数的累加;(2)通过将小偏差过定频率估计方法估计的陷波频率反馈给自适应参数,提高了收敛速度和收敛后的摄动。
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引用次数: 0
Radar target recognition based on wavelet and evolutionary networks 基于小波和进化网络的雷达目标识别
Wu Ming, Liu Fang, Jiao Licheng
A method for radar target identification by range profile is proposed in this paper based on the combination of wavelet and evolutionary networks. The wavelet transform is used to pre-process the range profiles. A classifier based on evolutionary networks which is the integration of neural networks and a modified genetic algorithm is proposed.
提出了一种基于小波和进化网络的雷达目标距离像识别方法。利用小波变换对距离轮廓进行预处理。提出了一种基于进化网络的分类器,将神经网络与改进的遗传算法相结合。
{"title":"Radar target recognition based on wavelet and evolutionary networks","authors":"Wu Ming, Liu Fang, Jiao Licheng","doi":"10.1109/ICOSP.1998.770874","DOIUrl":"https://doi.org/10.1109/ICOSP.1998.770874","url":null,"abstract":"A method for radar target identification by range profile is proposed in this paper based on the combination of wavelet and evolutionary networks. The wavelet transform is used to pre-process the range profiles. A classifier based on evolutionary networks which is the integration of neural networks and a modified genetic algorithm is proposed.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132862724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The use of a generative model of F/sub 0/ contours for multilingual speech synthesis 使用F/sub / 0/轮廓生成模型进行多语言语音合成
H. Fujisaki, S. Ohno
This paper describes the command-response model for F/sub O/ contour generation originally developed for common Japanese, and demonstrates its capability of generating F/sub O/ contours of various other languages with minor language-specific modifications. The model is especially useful in multilingual speech synthesis, since the same mechanism can be driven by language-specific patterns of input commands to produce F/sub O/ contours of utterances of the respective languages.
本文描述了最初为普通日语开发的F/sub - O/轮廓生成的命令响应模型,并演示了该模型在经过少量语言特定修改后可以生成各种其他语言的F/sub - O/轮廓的能力。该模型在多语言语音合成中特别有用,因为相同的机制可以由特定于语言的输入命令模式驱动,以产生相应语言的话语的F/sub / O/轮廓。
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引用次数: 30
A hybrid approach to segmentation of two channels cerebral MR images 脑磁共振双通道图像分割的混合方法
Shan-Shan Zhang, H. Hamabe, J. Maeda
A hybrid approach is presented in this paper to segmenting the brain matter, as assessed by magnetic resonance (MR) imaging, into three major tissue classes of gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF). First, a fuzzy clustering algorithm is used to divide the original T1 and T2 weighted MR images into groups with similar intensity distributions. Then a multiple level reasoning method is adopted to label the pixels of the cerebral MR image into one of the three of the tissue classes. Finally, the symmetric index is calculated for these tissue classes to show the possible abnormalities in the brain tissues.
本文提出了一种混合方法来分割脑物质,通过磁共振(MR)成像评估,分为灰质(GM),白质(WM)和脑脊液(CSF)三个主要组织类别。首先,采用模糊聚类算法将原始T1和T2加权MR图像分成强度分布相似的组;然后采用多层推理方法将脑磁共振图像像素点标记为三种组织类别之一。最后,计算这些组织类别的对称指数,以显示脑组织中可能出现的异常。
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引用次数: 1
An approach to TMS320C50 high-speed data processing and transmission system TMS320C50高速数据处理与传输系统的研究
Wu Limin, Ye Zhenhua, Zhou Min, Zhang Jie, Zhen Linhua
With the development of modern communication technologies, the requirements for data processing and transmission in a high-speed and high-capacity system are becoming greater. High-speed digital signal processor TMS320C50 can meet the demand of high-speed and high-capacity systems with its powerful processing functions and reliable performance. Taking an example of a high-speed data processing and transmission system, this paper deals mainly with the characteristics of the high-speed digital signal processing chip TMS320C50, and its application in a high-speed data processing and transmission system.
随着现代通信技术的发展,高速大容量系统对数据处理和传输的要求越来越高。高速数字信号处理器TMS320C50以其强大的处理功能和可靠的性能满足高速大容量系统的需求。本文以高速数据处理与传输系统为例,重点介绍了高速数字信号处理芯片TMS320C50的特点及其在高速数据处理与传输系统中的应用。
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引用次数: 1
A fractal image coding based on the quadtree 基于四叉树的分形图像编码
Chen Chunling, Wang Shaodi, Shan bingzhe
A fractal image coding based on the quadtree (FICBQ) is presented in this paper. Compared with the basic automatic fractal image coding (BAFIC), it overcomes the BAFIC shortcomings: an image has to be divided into square ranges of a fixed size, etc. The FICBQ is simple in the image division and can obtain higher compression ratios and needs less computation time while coding. Experimental results show that when the FICBQ obtains a PSNR of 29.37 dB and compression ratio of 11.09, the coding time is about 1/22 of BAFIC's.
提出了一种基于四叉树的分形图像编码方法。与基本的自动分形图像编码(automatic fractal image coding, BAFIC)相比,它克服了BAFIC的缺点:需要将图像分割成固定大小的正方形范围等。FICBQ图像分割简单,编码时可以获得较高的压缩比和较少的计算时间。实验结果表明,当FICBQ的PSNR为29.37 dB,压缩比为11.09时,其编码时间约为BAFIC的1/22。
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引用次数: 3
Ambiguity function of chaotic phase modulated radar signals 混沌相位调制雷达信号的模糊函数
Shen Ying, Shang Weihua, Liu Guo-sui
This paper analyzes a kind of chaotic modulated signal, these phase modulated radar signals are generated by chaotic signals. The ambiguity function of the coded signals is also given. Theory and simulation results show that the ambiguity function of the chaotic modulated signals is approximately "thumbtack-shaped" for the ideal result. Thus the signal has high resolution both in the time-delay domain and the Doppler frequency domain. It implies the possibility and advantages for chaos to be used in radar signal processing.
本文分析了一类混沌调制信号,这些相位调制雷达信号是由混沌信号产生的。给出了编码信号的模糊函数。理论和仿真结果表明,混沌调制信号的模糊函数近似为“图钉形”,从而达到理想效果。因此,该信号在时延域和多普勒频域都具有较高的分辨率。这说明了混沌技术应用于雷达信号处理的可能性和优越性。
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引用次数: 23
Effect of sampling rate on SNR in digital pulse compression system 数字脉冲压缩系统中采样率对信噪比的影响
Zhang Qunying, Yang Xuexian, Han Yueqiu
Digital pulse compression, which has high stability, precision and flexibility, is widely used in current pulse compression radar. However, there still exist many problems in practice. Two important problems of matched filter realization are analyzed. The relationship between sampling rate and system output signal to noise ratio is analyzed in this paper. Finally, beneficial conclusions are obtained and the conclusions are confirmed by computer simulation.
数字脉冲压缩具有较高的稳定性、精度和灵活性,在当前的脉冲压缩雷达中得到了广泛的应用。但在实践中仍存在许多问题。分析了匹配滤波器实现中的两个重要问题。分析了采样率与系统输出信噪比的关系。最后,得出了有益的结论,并通过计算机仿真对结论进行了验证。
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引用次数: 3
Spectrum analysis using a trellis algorithm 频谱分析使用网格算法
Feng Rice, B. Cowley, M. Rice, B. Moran
Carrier frequency offset is a significant problem in achieving signal acquisition in communications equipment. In a receiver the frequency offset must be corrected before symbol timing and phase recovery operations can be completed. Several methods have been applied to frequency estimation, for example, the fast Fourier transform (FFT) method and the differential phase method. However, the FFT method suffers from threshold effects and the differential phase method, although simple, suffers an SNR penalty though its differential detection and is sensitive to large frequency offsets. This paper describes a trellis based scheme for frequency and phase estimation. A recently reported technique, per-survivor processing (Raheli, 1995) has been adapted to make use of the trellis structure and is described. The technique, referred to herein as frequency estimation by PSP (FEPSP), gives near optimum performance under certain conditions. Firstly Cramer-Rao lower bounds (CRLB) are derived for the frequency estimator and the phase estimator. The PSP estimation algorithm is then described. Lastly, the performance of the FEPSP is discussed and compared with that of the CRLB and FFT methods.
载波频偏是通信设备中实现信号采集的一个重要问题。在接收机中,在完成符号定时和相位恢复操作之前,必须对频率偏移进行校正。已有几种方法应用于频率估计,如快速傅里叶变换(FFT)方法和微分相位法。然而,FFT方法受到阈值效应的影响,而差分相位法虽然简单,但由于其差分检测而遭受信噪比损失,并且对大频率偏移敏感。本文介绍了一种基于栅格的频率和相位估计方案。最近报道的一项技术,每个幸存者处理(Raheli, 1995)已被改编为利用网格结构,并进行了描述。该技术,在这里被称为频率估计的PSP (FEPSP),在某些条件下提供接近最佳的性能。首先推导了频率估计器和相位估计器的Cramer-Rao下界。然后描述了PSP估计算法。最后,讨论了FEPSP的性能,并与CRLB和FFT方法进行了比较。
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引用次数: 0
Chinese sentence understanding with information feedback 基于信息反馈的汉语句子理解
Fu Qiuliang, Chen Fang, Lin Biqin, Y. Baozong
Speech recognition understanding is an active research subject. Currently, continuous speech recognition is being studied by many scientists, and some machines which have good performance have been delivered recently. A new approach for Chinese speech recognition and understanding is proposed, which is called a close ring structure with information feedback for speech recognition and understanding, and a system of Chinese sentence understanding based on the new approach is realized. Finally, we give the result of the Chinese sentence understanding system, and analyze this result in detail.
语音识别理解是一个活跃的研究课题。目前,连续语音识别正在受到许多科学家的研究,最近已经有一些性能较好的机器问世。提出了一种新的汉语语音识别与理解方法,即具有信息反馈的闭环结构语音识别与理解方法,并在此基础上实现了一个汉语句子理解系统。最后给出了中文句子理解系统的测试结果,并对测试结果进行了详细分析。
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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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