{"title":"Digital signal processing technology and applications in hearing aids","authors":"H. Luo, H. Arndt","doi":"10.1109/ICOSP.2002.1180135","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1180135","url":null,"abstract":"Digital signal processing has found applications in almost every industry and the hearing aid industry is no exception. Building practical DSP platforms for hearing aids has been difficult due to the physical limitations of small size, low power consumption and low operating voltage, and although progress was initially very slow, real advances have been made during the last decade. Now DSP based hearing aids make use of many well-known digital signal processing technologies developed for communication, speech processing, radar and sonar systems. More sophisticated digital platforms are going to be created and more advanced digital signal processing technologies will be developed and implemented on this new digital hardware. This paper addresses DSP hardware, algorithm, and their application in hearing aids.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"10 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":"123412144","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":"Phase correlation-based matching method with sub-pixel accuracy for translated and rotated images","authors":"Jiang Jingying, H. Xiaodong, Xu Kexin, Y. Qi-lian","doi":"10.1109/ICOSP.2002.1181165","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1181165","url":null,"abstract":"Phase correlation based only on the phase information is a highly accurate alignment technique which is insensitive to various types of noise and geometric distortion and immune to nonuniform illumination. But only pixel-level matching resolution can be obtained. This paper presents an efficient and practical image matching algorithm with sub-pixel accuracy. The algorithm is based upon phase correlation with rotational compensation and paraboloid surface fit and can determine the translational and rotational parameters needed to match the two images. The validity and accuracy of the algorithm are also discussed.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"6 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":"128809857","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":"Quadratic boundaries in N-N classifiers with dissimilarity-based representations","authors":"Y. Horikawa","doi":"10.1109/ICOSP.2002.1179966","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1179966","url":null,"abstract":"The performance of the nearest neighbor (N-N) classifiers with the dissimilarity-based representations is studied. The dissimilarity-based representations cause quadratic decision boundaries instead of usual piecewise linear boundaries. The correct classification ratio of the N-N classifiers is improved with the use of the dissimilarity-based representations when variations within class differ from each other and the dimensionality of patterns is high.","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":"128936679","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}
{"title":"Adaptive time-varying filter for linear FM signal in fractional Fourier domain","authors":"Qi Lin, Tao Ran, Z. Siyong, Wang Yue","doi":"10.1109/ICOSP.2002.1180060","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1180060","url":null,"abstract":"The aim of the paper is to propose an adaptive method for filtering the linear FM signal embedded in white Gaussian noise. The proposed approach is based on the idea that the fractional Fourier transform for a signal is equivalent to rotating the signal on the time-frequency plane. The performance of the method is evaluated in terms of computational complexity and SNR improvement factor. Some theoretic analysis and simulation results are included to demonstrate the validity of the method. The results show that remarkable SNR improvement and tolerable signal distortion are obtained and, compared with two other dimension time-frequency filtering algorithms, the method is easy in computation and simple in implementation.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"48 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":"130842751","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":"Telemetry receiver signal processing for transmitting short data bursts under extreme conditions","authors":"H. Schwetlick, A. Hoefel, J. Goswami","doi":"10.1109/ICOSP.2002.1180050","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1180050","url":null,"abstract":"The presented telemetry receiver design can be easily implemented independent of the hardware. The performance of the receiver algorithms was shown. The design is scalable and adjustable to different carrier frequencies, modulation indices and types, signal intensities, data rates and data length and different coding. Since the processing modules are realized by software, they can easily be optimized. Matlab/Simulink models allowed predictions of the performance under different conditions and the direct transfer to the final DSP environment.","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":"130679392","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":"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}
{"title":"Brain contour finding by deformable model method","authors":"Yan Tie, He Shijuan, Y. Yamei","doi":"10.1109/ICOSP.2002.1181148","DOIUrl":"https://doi.org/10.1109/ICOSP.2002.1181148","url":null,"abstract":"This paper designed a deformable model to get brain contours of head magnetic resonance image (MRI), in which a region based variable expansion force was presented. Our purpose was to solve the problems of time consuming and weak convergence at corners in the gradient vector flow (GVF) deformable models. Results proved its robustness and effectiveness.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"139 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":"124376579","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}