Z. M. Yusof, N. A. Manap, I. Suleiman, Sheikh Hussain Sheikh Saleh, Z. Aspar
{"title":"Implementation of wavelet codec by using Texas Instruments DSP TMS320c6701 EVM board","authors":"Z. M. Yusof, N. A. Manap, I. Suleiman, Sheikh Hussain Sheikh Saleh, Z. Aspar","doi":"10.1109/ISSPA.2001.950220","DOIUrl":"https://doi.org/10.1109/ISSPA.2001.950220","url":null,"abstract":"This paper describes the implementation of the wavelet codec: (encoder and decoder) by using the Texas Instruments DSP (digital signal processor) TMS320C6701 on the EVM (evaluation module) board. The wavelet codec is used to compress and decompress gray scale images for real time data compression. The wavelet codec algorithm has been transferred into C and assembly code in the Code Composer Studio in order to program the 'C6xx DSP. The capability of the 'C6xx to change the code easily, correct or update applications, reduces the development time, cost and power consumption. With. the development tools provided for the 'C6xx DSP platform, it creates an easy-to-use environment that optimizes the devices' performance and minimizes technical barriers to software and hardware design.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126917133","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 fast 100/spl times/100 pixel silicon retina for edge extraction with application in OCR","authors":"Pierre-Yves Burgi, F. Heitger","doi":"10.1109/ISSPA.2001.949834","DOIUrl":"https://doi.org/10.1109/ISSPA.2001.949834","url":null,"abstract":"A new analog VLSI architecture using the time domain for processing and encoding sensory information is proposed. This architecture is based on steerable filters to locally extract edge information (intensity and direction). This information is subsequently encoded using address-event pulses transmitted on asynchronous buses. The amplitude of the sensory signals are sampled in such a way that strong amplitudes are assigned short latencies. Furthermore, the sampling rate can be controlled dynamically to ensure optimum information transmission on the buses. An optical character recognition demonstrator, based on this front-end architecture, is briefly described.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129081425","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}
Alexander Stoffel, Anissa Zergaïnoh-Mokraoui, C. Kulcsár, J. Astruc
{"title":"The importance of edges in irregular subsampling","authors":"Alexander Stoffel, Anissa Zergaïnoh-Mokraoui, C. Kulcsár, J. Astruc","doi":"10.1109/ISSPA.2001.950206","DOIUrl":"https://doi.org/10.1109/ISSPA.2001.950206","url":null,"abstract":"The quality of the reconstructed image, from a very weak set of irregularly spaced pixels, depends strongly on the localization of pixels on the image grid. Two different subsampling methods show that the distribution of the pixels is closely linked to the characteristics of the image. The first method, based on the second generation of wavelets decomposes the original image in several subsets. Pixels belonging to each subset are distributed according to a threshold. The second method chooses the subset minimizing the mean square error of the reconstructed image. The reconstruction method is a two-dimensional statistical interpolation method. Both subsets of pixels, provided by the two methods, have similar characteristics. Experimental results are provided and show that most of pixels are located in sharp edge regions.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"46 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133567437","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":"Current improvements in interpretation of posterior capsular opacification images","authors":"A. Paplinski","doi":"10.1109/ISSPA.2001.949816","DOIUrl":"https://doi.org/10.1109/ISSPA.2001.949816","url":null,"abstract":"We present an application of curvature-driven min/max flow and anisotropic diffusion in processing posterior capsular (PCO) images. PCO images present the back surface of the lens implanted during cataract surgery and are used to monitor the state of the patient's vision. Our standard segmentation technique which is based on the variance based co-occurrence matrices often requires an enhancement of variance images prior to segmentation. A number of enhancement methods are based on partial differential equations, and we present two such methods. We demonstrate that the curvature-driven flow seems to enhance better the significant edges in the image, whereas the anisotropic diffusion seems to work better with smoothing intra-regional image features.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130601808","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":"Design of time-frequency distributions for amplitude and IF estimation of multicomponent signals","authors":"Z. M. Hussain, B. Boashash","doi":"10.1109/ISSPA.2001.949847","DOIUrl":"https://doi.org/10.1109/ISSPA.2001.949847","url":null,"abstract":"This paper presents a new class of time-frequency. distributions (TFDs) suitable for efficient amplitude and instantaneous frequency (IF) estimation of mono- and multicomponent FM signals. The main characteristic of these TFDs, referred to as T-distributions, is that their kernels are functions of time only in the time-lag domain, hence the name time-only kernels. It is shown that separable time-lag kernels should be lag-independent for best resolution. In addition, amplitude estimation is possible directly from the T-distributions in the case of FM signals, a property that is not verified by other TFDs. The exponential and hyperbolic members of this class are analyzed. Numerical examples are incorporated to show the superior performance of the time-only kernels as compared to their two-dimensional counterparts.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134411271","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 optimal feature selection technique using the concept of mutual information","authors":"A. Al-Ani, Mohamed Deriche","doi":"10.1109/ISSPA.2001.950184","DOIUrl":"https://doi.org/10.1109/ISSPA.2001.950184","url":null,"abstract":"We present a mutual information-based technique to perform feature selection for the purpose of classification. The technique selects those features that have maximum mutual information with the specified classes. The best solution may be obtained through an exhaustive search (all possible combinations). However, even with a small number of features, this solution becomes impractical due to the exponentially increasing computational cost. Unlike other techniques that select features individually, our technique considers a trade off between computational cost and combined feature selection. Extensive experiments have shown that the proposed technique outperforms existing feature selection methods based on individual features.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133928835","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":"Closed-form semi-blind separation of three sources from three real-valued instantaneous linear mixtures via quaternions","authors":"V. Zarzoso, A. Nandi","doi":"10.1109/ISSPA.2001.949760","DOIUrl":"https://doi.org/10.1109/ISSPA.2001.949760","url":null,"abstract":"In the problem of blind source separation from instantaneous linear mixtures, a unitary transformation remains unknown after second-order spatial whitening. We present a novel approach for the identification of the orthogonal matrix in the real-valued three-signal scenario which, in contrast to existing procedures, operates in a single closed-form step, with no iterations. The new approach is based on intuitive geometrical notions and the theory of quaternions, and develops into a practical semi-blind method requiring certain prior knowledge on the source statistics. A simple numerical experiment illustrates the proposed algorithm.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123922010","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":"Gabor's signal expansion and the Gabor transform based on a non-orthogonal sampling geometry","authors":"M. J. Bastiaans, A. J. V. Leest","doi":"10.1109/ISSPA.2001.949801","DOIUrl":"https://doi.org/10.1109/ISSPA.2001.949801","url":null,"abstract":"Gabor's (1946) signal expansion and the Gabor transform are formulated on a non-orthogonal time-frequency lattice instead of on the traditional rectangular lattice. The reason for doing so is that a non-orthogonal sampling geometry might be better adapted to the form of the window functions (in the time-frequency domain) than an orthogonal one. Oversampling in the Gabor scheme, which is required to have mathematically more attractive properties for the analysis window, then leads to better results in combination with less oversampling. The new procedure presented in this paper is based on considering the non-orthogonal lattice as a sub-lattice of a denser orthogonal lattice that is oversampled by a rational factor. In doing so, Gabor's signal expansion on a non-orthogonal lattice can be related to the expansion on an orthogonal lattice (restricting ourselves, of course, to only those sampling points that are part of the non-orthogonal sub-lattice), and all the techniques that have been derived for rectangular sampling can be used, albeit in a slightly modified form.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115133626","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":"Acoustic discrimination between aircraft and land vehicles using nonlinear dynamical signal models","authors":"A. Pentek, J. Kadtke, R. Lennartsson","doi":"10.1109/ISSPA.2001.950241","DOIUrl":"https://doi.org/10.1109/ISSPA.2001.950241","url":null,"abstract":"One of the most important applications of nonlinear dynamics is the estimation of empirical dynamical models from data, in order to explain time series derived from physical processes. Such derived models can then be used for a variety of data processing applications, in particular for detection and classification problems. Previously, we presented a theory and numerical approach for the estimation of such nonlinear dynamical models in the detection and classification of acoustic data. Here, we apply these ideas to perform discrimination between aircraft and land vehicles based on acoustic signature recordings, derived from a field test of the USA Army.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123674264","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}
H. Hassanpour, William Williams, M. Mesbah, B. Boashash
{"title":"Time-frequency extraction of EEG spike events for seizure detection in neonate","authors":"H. Hassanpour, William Williams, M. Mesbah, B. Boashash","doi":"10.1109/ISSPA.2001.949823","DOIUrl":"https://doi.org/10.1109/ISSPA.2001.949823","url":null,"abstract":"There are a number of approaches for analysing EEG signals in the time, frequency, and time-frequency domains. However due to the nonstationarity of the EEG signals, the time-frequency methods proved to be superior. This paper presents a new method for the detection of newborn EEG seizure activity in the time-frequency domain. The proposed approach utilises 30-second epochs of EEG signal and analyses one frequency slice of their time-frequency representations at about 75 Hz. Spiking activity in these high frequency slices are used to distinguish between seizure and nonseizure activities. Using histograms of intervals between successive spikes, we were able to show the dramatic difference between spikes originating from seizure and those from nonseizure. This finding led to this novel method of seizure detection in newborn babies.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122759275","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}