{"title":"Robust detection of underwater targets using a nonlinear energy tracker","authors":"Minho Cheong, Yong-Hwan Lee","doi":"10.1109/ICOSP.2002.1180110","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1180110","url":null,"abstract":"The use of sonar systems is widely applied to detection of underwater targets. Conventional detection methods estimate the Doppler characteristics of an underwater target by processing the received signal in the frequency domain, for example by the use of the discrete Fourier transform and filter bank structures. We propose a robust scheme for estimation of the Doppler characteristics of an underwater target by employing nonlinear processes. Since the proposed method is processed in the time domain, it can significantly reduce the computational complexity. The proposed scheme can also be used for estimation of the velocity and distance of the target. The performance of the proposed scheme is analyzed and verified by computer simulation.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126547502","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}
{"title":"A method of choosing optimal threshold of /spl epsi/-filter in image restoration","authors":"Lei Liang, Xiaoyin Xu","doi":"10.1109/ICOSP.2002.1181127","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1181127","url":null,"abstract":"To restore image contaminated by impulse noise, median filter and its variations have been extensively used to remove the impulse noise. Standard median filter is able to remove a large amount of impulse noise but at the same time it makes some false-alarms. One type of modified median filter is the /spl epsi/-filter which processes each pixel of the output of standard median filter in a binary manner, keeping the output of median filter unchanged or replacing it with the original pixel value. The binary decision making is controlled by comparing the absolute difference between the median filter output and the original image to a preset threshold. In most cases, the /spl epsi/-filter produces better results than the standard median filter in terms of mean squared error. The problem of applying the /spl epsi/-filter in image restoration is to choose a proper threshold. A threshold too low or high will generate sub-optimal results. In this paper, we present a method of choosing an approximately optimal threshold in the sense of minimizing the mean squared error of the /spl epsi/-filter. We use examples to demonstrate the performance of our method.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125727200","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}
{"title":"Image segmentation based on M-S energy","authors":"Tian Yan, Wang Zhenghua, Xu Hongbo, Liu Jian","doi":"10.1109/ICOSP.2002.1181189","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1181189","url":null,"abstract":"Image segmentation is a fundamental problem in the fields of image processing and computer vision with numerous applications. In this paper, an integral equation model applied in image segmentation is addressed. We discuss the links between Mumford-Shah's (M-S energy) and image segmentation. We develop a feasible algorithm for the variational problem in dimension one and then extend it to dimension two (image). A few experimental results in dimension one and two are displayed.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125802339","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}
{"title":"Channel estimation and equalization of fast time-varying fading multipath channel","authors":"Shurong Li, Shiju Li","doi":"10.1109/ICOSP.2002.1180116","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1180116","url":null,"abstract":"In this paper we investigated a channel estimation and equalization receiver algorithm to combat the fast time-varying fading multipath channel. The technique utilizes interpolation estimation and a simple equalization structure. The receiver offers simple computation to previously proposed methods without sacrificing performance.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125881378","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}
{"title":"An integer hierarchy lapped biorthogonal transform via lifting steps and application in image coding","authors":"Xu Hui, Chen Lizhi","doi":"10.1109/ICOSP.2002.1181143","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1181143","url":null,"abstract":"By using integer discrete cosine transform (IntDCT) based on lifting steps, we in this paper introduce an integer hierarchy lapped biorthogonal transform via lifting steps called the IntHLBT. When all elements with floating-point of each lifting matrix in the IntHLBT is approximated by the binary fractions, the IntHLBT is implemented by a series of dyadic lining steps, and provides very fast, efficient in-place computation of the transform coefficients, so it can express image information as lossless. As applications of the novel IntHLBT to lossy image compression, simulation results demonstrate that the IntHLBT has significantly less blocking artifacts, higher peak signal-to-noise ratio (PSNR), and better visual quality than the DCT Moreover, the IntHLBT's coding performance is approximately the same as that of the much more complex Cohen-Daubechies-Feauveau (CDF) 9/7 biorthogonal wavelet with floating-point coefficients, and in some cases, even surpasses that of CDF 9/7 biorthogonal wavelet.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126068361","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}
{"title":"An IIR ALE based on constrained FIR filter","authors":"J. Okello, M. Mizuno, Y. Itoh","doi":"10.1109/ICOSP.2002.1181045","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1181045","url":null,"abstract":"In this paper, we propose an adaptive algorithm for an adaptive line enhancer (ALE). The two constraints that are considered are the unit norm constraint and zeros constraint. By incorporating these two constrains, we show that the effect of a white disturbance signal on the convergence of the ALE is eliminated in the mean sense. Furthermore, by introducing a control mechanism, the stability and convergence of the system is guaranteed even if there is a sudden change in the frequency of the input sinusoidal signal. Simulation results that are presented verify these properties.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"125 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129711541","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}
{"title":"Median filtering in the wavelet domain in image segmentation","authors":"Lei Liang","doi":"10.1109/ICOSP.2002.1181168","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1181168","url":null,"abstract":"In this paper we propose a method of applying median filtering in the wavelet domain in image segmentation when the image consists of regions hard to be segmented by the spatial domain median filter. The method transforms an image into the wavelet domain and then iteratively applies the median filter in the wavelet domain and finally transforms the result into the spatial domain. The advantage of wavelet domain median filtering is that in the wavelet domain, probabilities of encountering root images are spread over sub-band images and therefore median filtering is unlikely to encounter root images at an early stage of iterations and can generate better results as the iteration increases. Better performance is obtained in segmenting images having a Gaussian noise patter, especially when regions are close to each other in their mean values. Results from computer simulation are used to demonstrate superiority of the method.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129774569","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}
{"title":"An improved tracking filter algorithm","authors":"Ming-Hui Wang, Zhisheng You, Yingning Peng","doi":"10.1109/ICOSP.2002.1180986","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1180986","url":null,"abstract":"Tracking gate is the very important first-step filter of some classical data association algorithms. An improved tracking gate method is presented in this paper, which estimates the gate size by searching the optimal solution of the performance function of data association. This gate method has been compared with some classical methods.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129780209","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}
D. Boulinguez, C. Garnier, Y. Delignon, L. Clavier
{"title":"Unsupervised characterization of digital modulations","authors":"D. Boulinguez, C. Garnier, Y. Delignon, L. Clavier","doi":"10.1109/ICOSP.2002.1180034","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1180034","url":null,"abstract":"With the rising number of modulation types used in multi-user communication systems, we need to find efficient methods to discriminate them. Indeed, modulation recognition has become important in wireless communications for both civilian and military applications. Traditionally, to classify modulation types, most studies assume abundant a priori knowledge about modulated signals such as binary data rate, baud rate or carrier frequency. However, new transmission/receiver systems need to classify automatically digital modulations without specific information. In the course of making decision on modulation type, these parameters may have to be estimated in order to perform efficient demodulation. We propose a new way of estimating the baud rate of digitally modulated signals and then some perspectives to estimate the binary data rate. This approach is based on abrupt changes detection in the time-frequency plane.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129213697","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}
{"title":"On the maximization of the crispness of 2D grayscale histogram for image thresholding","authors":"Qing Wang, J. Xue, R. Zhao, Z. Chi, D. Feng","doi":"10.1109/ICOSP.2002.1179952","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1179952","url":null,"abstract":"In this paper, a novel image thresholding approach based on the crispness maximization of the 2D grayscale histogram is proposed. The threshold vector (T,S) is obtained by an exhaustive search algorithm. In this approach, the difference between these two components is guaranteed to be within a relatively small range. This cannot be achieved in fuzzy entropy based methods, such as Abutaleb, Brink's method. Experimental results show that our proposed approach not only performs well and effectively but also is more robust when applied to noisy images.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129284486","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}