T. Bermudez, D. Lowe, Anne-Marie Arlaud-Lamborelle
{"title":"EEG/ECG information fusion for epileptic event detection","authors":"T. Bermudez, D. Lowe, Anne-Marie Arlaud-Lamborelle","doi":"10.1109/ICDSP.2009.5201231","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201231","url":null,"abstract":"This paper addresses the automated false positives-free detection of epileptic events by the fusion of information extracted from simultaneously recorded electroencephalographic- and electrocardiographic time-series. The approach relies on the biomedical prior knowledge for the coupling of the Brain- and Heart systems through the central autonomic network during temporal lobe epileptic events: neurovegetative manifestations associated with temporal lobe epileptic events consist of alterations to the cardiac rhythm. From a neurophysiological perspective, epileptic episodes are characterised by a loss of complexity of the state of the brain. The description of arrhythmias, from a probabilistic perspective, observed during temporal lobe epileptic events and the description of the complexity of the state of the brain, from an information theory perspective, are integrated in a fusion-of-information framework towards temporal lobe epileptic seizure detection. We show that the biomedical data fusion of simultaneously recorded EEG and ECG time-series leads to the detection of genuine epileptic events and to the dramatic reduction of false-positives.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124063461","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 encryption process based on a chaotic True Random Bit Generator","authors":"C. Volos, Ioannis M. Kyprianidis, I. Stouboulos","doi":"10.1109/ICDSP.2009.5201107","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201107","url":null,"abstract":"In recent years, information security requires randomly selected strong keys. Most of the proposed methods provide keys based on chaotic cryptographic algorithms. In this paper, an image encryption scheme based on a chaotic True Random Bit Generator (TRBG) is proposed. The chaotic generator is a nonlinear electronic circuit which produces double scroll chaotic attractors. The values of the circuit parameters and the initial conditions are the keys of the cryptographic scheme. Since the dynamic behavior of the circuit is so unpredictable, a true random bits sequence is produced via a well known method. We adopt the FIPS 140-1 statistical suite to test the distribution of the bits sequence. This sequence is used to encrypt and decrypt images. Also, the security analysis of the encrypted image demonstrates the high security of the proposed scheme.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125868338","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 new consistency measure for localization of sound sources in the presence of reverberation","authors":"A. Cirillo, R. Parisi, A. Uncini","doi":"10.1109/ICDSP.2009.5201100","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201100","url":null,"abstract":"Sound source localization is an important task in many practical applications. Among existing methods, the Linear Intersection algorithm is a popular technique and performs well in noisy conditions without requiring high computational costs. Unfortunately the performance of Linear Intersection is seriously hampered by the presence of reverberation, which is quite common in closed environments. In order to overcome this limitation, the Optimal Line Selection technique was proposed in the past. In this paper some important modifications of this technique are presented and described. Results on simulated and real data confirm the quality of the proposed solution.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128297517","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}
Marijn J. H. Loomans, Cornelis J. Koeleman, P. D. With
{"title":"Real-time multi-level wavelet lifting scheme on a fixed-point DSP for JPEG 2000 and scalable video coding","authors":"Marijn J. H. Loomans, Cornelis J. Koeleman, P. D. With","doi":"10.1109/ICDSP.2009.5201227","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201227","url":null,"abstract":"In this paper, we discuss the design and real-time implementation of a multi-level two-dimensional Discrete Wavelet Transform (2D-DWT). The wavelet transform uses the well-known 5/3 filter coefficients and is implemented using the lifting framework. However, the transform allows complexity-scalable solutions with different latencies for scalable video coding. We have extensively utilized SIMD (Single Instruction Multiple Data) and DMA (Direct Memory Access) techniques, where the proposed process of background DMA transfers is so effective, that the ALUs are almost never starved for data input. The obtained execution performs a 4-level transform at CCIR-601 broadcast resolution in 3.65 Mcycles, including memory stalls, on a DM642 DSP. At a clock rate of 600MHz this translates to more than 160 transforms per second, satisfying the performance requirements for a real-time image/video encoding system for e.g. surveillance applications.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128281966","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}
A. Skodras, S. Giannarou, M. Fenwick, S. Franks, J. Stark, K. Hardy
{"title":"Object recognition in the ovary: Quantification of oocytes from microscopic images","authors":"A. Skodras, S. Giannarou, M. Fenwick, S. Franks, J. Stark, K. Hardy","doi":"10.1109/ICDSP.2009.5201188","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201188","url":null,"abstract":"The ovary is a female organ that houses a fixed supply of germ cells (oocytes). The absolute number of oocytes at any given stage can be a useful indicator of fertility. Obtaining accurate assessments of the oocyte reserve in humans and experimental models can be time consuming and error prone. In this paper a new approach to facilitate oocyte counting in microscope images of mouse ovaries is presented. The mouse vasa homolog (MVH), an oocyte-specific protein, was labeled in microscope sections and used to develop an algorithm that can identify, count and estimate the size and coordinates of the oocytes. We use this automated approach to generate comparable data with conventional methods of oocyte counting.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128289820","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}
M. Stoufs, A. Munteanu, J. Barbarien, J. Cornelis, P. Schelkens
{"title":"Error protection of scalable soures: A comparative analysis of Forward Error Correction and Multiple Description Coding","authors":"M. Stoufs, A. Munteanu, J. Barbarien, J. Cornelis, P. Schelkens","doi":"10.1109/ICDSP.2009.5201046","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201046","url":null,"abstract":"In this paper we examine the Distortion-Rate (D-R) performance of two competing approaches for error-resilient transmission of scalable sources over error-prone packet-based memoryless channels. Thereby, we consider scalable Joint Source-Channel Coding (JSCC) based on Forward Error Correction (FEC) and scalable Multiple Description Coding (MDC). Our analysis considers memoryless Gaussian input sources encoded using source coders that can achieve theoretical performance bounds. This input source model is independent of actual implementations of the source coders and therefore allows drawing conclusions on the theoretical D-R performance of both approaches. Our comparative analysis indicates that in matched channel conditions, the use of an optimized FEC-based JSCC approach yields significantly better error resilience compared to the use of scalable MDC. Moreover, it is shown that in mismatched conditions a scalable JSCC approach has the potential to outperform a scalable MDC approach.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127549160","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":"Cricket batting technique analyser/trainer using fuzzy logic","authors":"K. M. Curtis, M. Kelly, M. Craven","doi":"10.1109/ICDSP.2009.5201206","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201206","url":null,"abstract":"Within this paper a system is proposed to capture the motion of a cricket batter whilst playing a stroke. The system is based on the classification of cricket batting strokes using fuzzy logic. The system was then used to analyze the motion of novice batters (from the Jamaica under fifteen cricket teams) and an expert batter (the coach of the Jamaica under fifteen team). The results presented are compared to the coach's analysis for the same strokes. This showed that the analysis system was effective in evaluating how well the strokes were played, however problems were encountered with the positioning of the motion capture transducers.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132958690","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 inverse filter design method considering control points arrangement and control band for sound reproduction system","authors":"Y. Tatekura, Takeshi Watanabe","doi":"10.1109/ICDSP.2009.5201101","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201101","url":null,"abstract":"In this paper, we propose a new inverse filter design method for robust multichannel sound reproduction system that utilizes the relationship between the width of the actual control area and the control frequency of the control points. The reproduction accuracy of a conventional sound reproduction system is reduced by room environmental variations when inverse filter coefficients are fixed. To break this problem, the frequency control band at every control point is switched to avoid degrading the reproduced sound in low frequencies, so the pass band range of the control points at both ears is only high-range. That of the other control points is the entire control range. Numerical simulation with real environmental data showed that the reproduction accuracy is improved, even with a temperature fluctuation as an environmental variation in the listening room.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130809881","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":"Modeling of time-varying Instanteous Frequency in a finitely correlated environment","authors":"R. K. Pally, A. Beex","doi":"10.1109/ICDSP.2009.5201085","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201085","url":null,"abstract":"A TVAR model has been shown to perform well when applied to short data records for Instantaneous Frequency (IF) estimation of frequency modulated (FM) components in white noise. However, when the model is applied to a signal containing a finitely correlated signal in addition to the white noise, estimation performance degrades; especially when the correlated signal is not weak relative to the FM components. We extend the time-varying autoregressive (TVAR) model-based IF estimation for a finitely correlated environment by introducing a decorrelation delay larger than one between the time-varying coefficients. Comparison of the decorrelating TVAR based IF estimator to a conventional TVAR based IF estimator reveals performance gains at moderate to high signal to FM component power ratios.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129281289","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":"Neural weighted least-squares design of FIR higher-order digital differentiators","authors":"Yue-Dar Jou, Fu-Kun Chen, Chao-Ming Sun","doi":"10.1109/ICDSP.2009.5201078","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201078","url":null,"abstract":"This paper extends the neural network based algorithm for equiripple design of higher-order digital differentiators in the weighted least-squares sense. The proposed approach formulates an error representation reflecting the difference between the desired amplitude response and the designed response in a Lyapunov error function. The optimal filter coefficients are obtained when neural network achieves convergence. Furthermore, by using a weighted updating function, the proposed method can find a very good approximation of the minimax solution. Simulation results indicate that the proposed technique is able to achieve good performance in a parallelism manner.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116753802","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}