Pub Date : 1998-10-12DOI: 10.1109/ICOSP.1998.770330
M. Bo, Qiu Zhengding
Fractal image compression allows fast decoding but suffers from long encoding time. By mapping similar regions within an image in the wavelet domain, we can use biorthogonal wavelet transform coefficients to find mappings which are identical to conventional blockwise mappings, thus the time-consuming encoding process is improved by wavelet-based hierarchical interpretation. In this paper, we show that the redundancy of a fractal with respect to scale variation is mirrored by its wavelet decomposition, so providing a 2D model of wavelet-based fractal image compression coding. A new hybrid coding algorithm can then be given.
{"title":"A hybrid coding algorithm of wavelet-based fractal image compression","authors":"M. Bo, Qiu Zhengding","doi":"10.1109/ICOSP.1998.770330","DOIUrl":"https://doi.org/10.1109/ICOSP.1998.770330","url":null,"abstract":"Fractal image compression allows fast decoding but suffers from long encoding time. By mapping similar regions within an image in the wavelet domain, we can use biorthogonal wavelet transform coefficients to find mappings which are identical to conventional blockwise mappings, thus the time-consuming encoding process is improved by wavelet-based hierarchical interpretation. In this paper, we show that the redundancy of a fractal with respect to scale variation is mirrored by its wavelet decomposition, so providing a 2D model of wavelet-based fractal image compression coding. A new hybrid coding algorithm can then be given.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"1 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":"122821543","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}
Pub Date : 1998-10-12DOI: 10.1109/ICOSP.1998.770302
B. Zhang
This paper addresses the problem of recognizing a target voice when it is corrupted by a co-channel interfering voice. First, the F0 contour of the target voice is robustly extracted by using the revised highest likely common fundamental algorithm proposed by Screenivas. By using this contour, the harmonic peaks of the target voice are extracted. The harmonic peaks carry the information of the formants of a vowel and can be used as a front-end feature in a speech recognizer. Moreover, the harmonic peaks of the target voice are changed little even in the presence of an interfering voice. A recognizer aimed at recognizing the Mandarin finals was developed, based on the harmonic peaks method as well as the conventional LPC cepstral coefficients method. By comparing the results of these two methods, the harmonic peaks method shows better performance in the presence of a co-channel interfering voice.
{"title":"Harmonic peaks method for voice separation","authors":"B. Zhang","doi":"10.1109/ICOSP.1998.770302","DOIUrl":"https://doi.org/10.1109/ICOSP.1998.770302","url":null,"abstract":"This paper addresses the problem of recognizing a target voice when it is corrupted by a co-channel interfering voice. First, the F0 contour of the target voice is robustly extracted by using the revised highest likely common fundamental algorithm proposed by Screenivas. By using this contour, the harmonic peaks of the target voice are extracted. The harmonic peaks carry the information of the formants of a vowel and can be used as a front-end feature in a speech recognizer. Moreover, the harmonic peaks of the target voice are changed little even in the presence of an interfering voice. A recognizer aimed at recognizing the Mandarin finals was developed, based on the harmonic peaks method as well as the conventional LPC cepstral coefficients method. By comparing the results of these two methods, the harmonic peaks method shows better performance in the presence of a co-channel interfering voice.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"29 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":"121641461","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}
Pub Date : 1998-10-12DOI: 10.1109/ICOSP.1998.770747
H. Kondo, Lifen Zhang, A. Suharno
An image edge sharpening technique with Fourier phase correction is presented. The technique here includes a traditional one (Laplacian operator) and phase-only synthesis with the corrected Fourier phase. A human visual property is also introduced as a weighted function in order to maintain the natural smoothness in the gray level of the image. Simulation examples show that the proposed technique is much superior to the traditional one.
{"title":"The effect of the observation Fourier sign correction for image sharpening","authors":"H. Kondo, Lifen Zhang, A. Suharno","doi":"10.1109/ICOSP.1998.770747","DOIUrl":"https://doi.org/10.1109/ICOSP.1998.770747","url":null,"abstract":"An image edge sharpening technique with Fourier phase correction is presented. The technique here includes a traditional one (Laplacian operator) and phase-only synthesis with the corrected Fourier phase. A human visual property is also introduced as a weighted function in order to maintain the natural smoothness in the gray level of the image. Simulation examples show that the proposed technique is much superior to the traditional one.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"31 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":"127727851","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}
Pub Date : 1998-10-12DOI: 10.1109/ICOSP.1998.770887
Ye-Kui Wang
This paper describes a new watermarking algorithm for digital audio. The proposed algorithm permutes the host audio signal in the time domain and then embeds watermarks in the frequency domain. The key part of the algorithm is a secure and robust permutation operation.
{"title":"A new watermarking method of digital audio content for copyright protection","authors":"Ye-Kui Wang","doi":"10.1109/ICOSP.1998.770887","DOIUrl":"https://doi.org/10.1109/ICOSP.1998.770887","url":null,"abstract":"This paper describes a new watermarking algorithm for digital audio. The proposed algorithm permutes the host audio signal in the time domain and then embeds watermarks in the frequency domain. The key part of the algorithm is a secure and robust permutation operation.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"7 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132545535","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}
Pub Date : 1998-10-12DOI: 10.1109/ICOSP.1998.770235
Liang Jin, M. Yao, Qinye Yin
We propose a new method for two-dimensional direction-of-arrival estimation of wideband sources by constructing a SC-DOA-matrix. The theoretical analysis shows that this method can be applied to both wideband and narrowband cases without any 2D search and that the 2D parameters can be automatically paired. Besides, the wideband interference and additive noise can be mulled out via exploitation of cyclostationarity, thus the signal detection capability of the algorithm is significantly improved.
{"title":"A novel method for 2-D spatial spectrum estimation of wideband signals","authors":"Liang Jin, M. Yao, Qinye Yin","doi":"10.1109/ICOSP.1998.770235","DOIUrl":"https://doi.org/10.1109/ICOSP.1998.770235","url":null,"abstract":"We propose a new method for two-dimensional direction-of-arrival estimation of wideband sources by constructing a SC-DOA-matrix. The theoretical analysis shows that this method can be applied to both wideband and narrowband cases without any 2D search and that the 2D parameters can be automatically paired. Besides, the wideband interference and additive noise can be mulled out via exploitation of cyclostationarity, thus the signal detection capability of the algorithm is significantly improved.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"56 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":"133446480","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}
Pub Date : 1998-10-12DOI: 10.1109/ICOSP.1998.770831
P. Fu, A. Hope, G. King
An important element of the automatic machining process control function is the on-line monitoring of cutting tool wear and fracture mechanisms. This paper presents an intelligent tool condition monitoring system. The multisensor signals reflect the tool condition comprehensively. Redundant signal features are removed by using a fuzzy clustering feature filter. A unique fuzzy driven neural network has been developed to carry out the fusion of multi-sensor information and tool wear classification. It combines the transparent representation of fuzzy systems with the learning ability of neural networks hence the algorithm has strong modelling and noise suppression ability. Successful tool wear classification can be realized under a range of machining conditions.
{"title":"A neurofuzzy pattern recognition algorithm and its application in tool condition monitoring process","authors":"P. Fu, A. Hope, G. King","doi":"10.1109/ICOSP.1998.770831","DOIUrl":"https://doi.org/10.1109/ICOSP.1998.770831","url":null,"abstract":"An important element of the automatic machining process control function is the on-line monitoring of cutting tool wear and fracture mechanisms. This paper presents an intelligent tool condition monitoring system. The multisensor signals reflect the tool condition comprehensively. Redundant signal features are removed by using a fuzzy clustering feature filter. A unique fuzzy driven neural network has been developed to carry out the fusion of multi-sensor information and tool wear classification. It combines the transparent representation of fuzzy systems with the learning ability of neural networks hence the algorithm has strong modelling and noise suppression ability. Successful tool wear classification can be realized under a range of machining conditions.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"2 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":"133486162","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}
Pub Date : 1998-10-12DOI: 10.1109/ICOSP.1998.770240
Ji Hongbing, Li Jie, Xie Weixin, He Wei
With the good performance of higher-order spectra (HOS) techniques for non-Gaussian signal processing and Gaussian noise suppression capability, an AR model parametric bispectrum estimation is presented for conventional radar target return analysis. A reasonable selection of target bispectrum features is made with a formation of target feature vector for target classification. The classification experimental results-on-actual target returns are given, with satisfactory results.
{"title":"Bispectrum-based radar target classification","authors":"Ji Hongbing, Li Jie, Xie Weixin, He Wei","doi":"10.1109/ICOSP.1998.770240","DOIUrl":"https://doi.org/10.1109/ICOSP.1998.770240","url":null,"abstract":"With the good performance of higher-order spectra (HOS) techniques for non-Gaussian signal processing and Gaussian noise suppression capability, an AR model parametric bispectrum estimation is presented for conventional radar target return analysis. A reasonable selection of target bispectrum features is made with a formation of target feature vector for target classification. The classification experimental results-on-actual target returns are given, with satisfactory results.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"353 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":"133906051","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}
Pub Date : 1998-10-12DOI: 10.1109/ICOSP.1998.770886
L. Xu, J.B. Wang, T. Wen
An incident elastic wave propagating in a cubic piezoelectric multilayer system, along to the direction of growth, and the reflected elastic wave in the system form an elastic standing wave inside after interference. The elastic standing wave induces a standing wave of strains, which results in a standing wave of piezoelectric fields. The field will produce an AC voltage signal across the system at the frequency of the elastic wave. The sensitivity of the piezoelectric signal depends on the number of the period. The maximum of the crests of the voltage signal appear when the wavelength is equal to a value of 1/odd number comparing with thickness of each period, and if the thickness of one period is smaller than the wavelength, no maximum peak appears.
{"title":"Piezoelectric signals of layered systems driven by elastic waves","authors":"L. Xu, J.B. Wang, T. Wen","doi":"10.1109/ICOSP.1998.770886","DOIUrl":"https://doi.org/10.1109/ICOSP.1998.770886","url":null,"abstract":"An incident elastic wave propagating in a cubic piezoelectric multilayer system, along to the direction of growth, and the reflected elastic wave in the system form an elastic standing wave inside after interference. The elastic standing wave induces a standing wave of strains, which results in a standing wave of piezoelectric fields. The field will produce an AC voltage signal across the system at the frequency of the elastic wave. The sensitivity of the piezoelectric signal depends on the number of the period. The maximum of the crests of the voltage signal appear when the wavelength is equal to a value of 1/odd number comparing with thickness of each period, and if the thickness of one period is smaller than the wavelength, no maximum peak appears.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"54 5 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":"134022071","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}
Pub Date : 1998-10-12DOI: 10.1109/ICOSP.1998.770855
Cao Jinde
In this article, by means of the Lyapunov method and some analysis techniques, sufficient criteria are derived for the global exponential stability of the equilibrium of Hopfield neural networks. This criteria can be used to design globally stable networks and thus has important significance in both theory and applications.
{"title":"Stability analysis of Hopfield neural networks","authors":"Cao Jinde","doi":"10.1109/ICOSP.1998.770855","DOIUrl":"https://doi.org/10.1109/ICOSP.1998.770855","url":null,"abstract":"In this article, by means of the Lyapunov method and some analysis techniques, sufficient criteria are derived for the global exponential stability of the equilibrium of Hopfield neural networks. This criteria can be used to design globally stable networks and thus has important significance in both theory and applications.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"22 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":"132348990","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}
Pub Date : 1998-10-12DOI: 10.1109/ICOSP.1998.770920
Junhao Xie, Yeshu Yuan, Yongtan Liu
The displaced phase center antenna (DPCA) can be used to detect a ship in broadened first order Bragg lines due to platform motion in shipborne HFSWR (high frequency surface wave radar). In the paper it is shown that, by an analogy with the optimum weights of MTI (moving target indicator), the DPCA processing introduced by Xie et al. (1998) is optimized for the symmetrical 1st order Bragg lines with equal power and the asymmetrical 1st order Bragg lines with unequal power. The result is advantageous for 1st order Bragg line cancellation in shipborne HFSWR.
{"title":"Optimum weights of DPCA processing for shipborne HFSWR","authors":"Junhao Xie, Yeshu Yuan, Yongtan Liu","doi":"10.1109/ICOSP.1998.770920","DOIUrl":"https://doi.org/10.1109/ICOSP.1998.770920","url":null,"abstract":"The displaced phase center antenna (DPCA) can be used to detect a ship in broadened first order Bragg lines due to platform motion in shipborne HFSWR (high frequency surface wave radar). In the paper it is shown that, by an analogy with the optimum weights of MTI (moving target indicator), the DPCA processing introduced by Xie et al. (1998) is optimized for the symmetrical 1st order Bragg lines with equal power and the asymmetrical 1st order Bragg lines with unequal power. The result is advantageous for 1st order Bragg line cancellation in shipborne HFSWR.","PeriodicalId":145700,"journal":{"name":"ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)","volume":"192 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":"133818364","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}
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