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检索条件"任意字段=4th IASTED International Conference on Signal Processing, Pattern Recognition and Applications"

共 162 条记录，以下是111-120 订阅

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threshold computation for the summation CFAR detector: Non-overlapped versus overlapped FFT processing

Threshold computation for the summation CFAR detector: Non-o...

引用

5th iasted international conference on Circuits, signals, and Systems, CSS 2007

作者： Wang, Sichun Inkol, Robert Rajan, Sreeraman Patenaude, François Defence Research and Development Canada-Ottawa 3701 Carling Ave. Ottawa K1A 0Z4 Canada Communications Research Centre 3701 Carling Ave. Ottawa K2H 8S2 Canada

ISBN: (纸本)9780889866706

the summation CFAR detector is widely used for the detection of narrowband signals. the normalized detection threshold determines the detection performance and must be appropriately chosen in practical applications. However, numerical problems often occur in the theoretical computation of the normalized detection threshold, particularly when channel power estimates are summed over a large number of overlapped input data blocks. this paper shows that the correlation between power estimates at the output of an FFT filter bank for successive input data blocks can be neglected for most common windows when the overlap ratio is less than or equal to 1/2. Under this constraint the normalized detection thresholds computed for overlapped and non-overlapped input data blocks are practically identical and the results for the probability of false alarm for a given threshold derived for non-overlapped input data blocks are applicable to overlapped input data blocks. this substantially simplifies the problem of computing the normalized detection threshold for overlapped input data blocks.

关键词： Fast Fourier transforms

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A transfer function of low delay maximally flat bandpass FIR digital filters

A transfer function of low delay maximally flat bandpass FIR...

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5th iasted international conference on Circuits, signals, and Systems, CSS 2007

作者： Mori, Yukio Aikawa, Naoyuki Department of Electronics and Communication Salesian Polytechnic 4-6-8 Oyamagaoka Machida-shi Tokyo 194-0215 Japan Faculty of Engineering Nihon University 1 Aza-Nakakawara Tokusada Tamura-machi Koriyama-shi Fukushima 963-8642 Japan

ISBN: (纸本)9780889866706

this paper describes a mathematically closed form transfer function of low delay maximally flat bandpass finite impulse response (FIR) filters. It is possible to obtain the transfer function with the specified degree of flatness at center frequency (ω = ±ω0) in the passband, ω=0 and ω=π. In addition, the obtained transfer function has the specified group delay at center frequency in the passband. the proposed transfer function has already contained the transfer function of the known linear phase maximally flat bandpass FIR filter. We show an effectiveness of the proposed transfer function by examples.

关键词： FIR filters

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Introducing the data mining utility: A web-based application for data mining experimentation on neurological datasets 11

Introducing the data mining utility: A web-based application...

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11th iasted international conference on Software Engineering and applications, SEA 2007

作者： Sanchez, Daniel Shirk, Andrew Sanchez, Danmary Marrero, Adrian Department of Electrical and Computer Engineering Florida International University EAS 2220 10555 W. Flagler Street MiamiFL33174 United States M/C 476 605 E. Springfield Avenue ChampaignIL61820 United States

ISBN: (纸本)9780889867055

Data mining applications have facilitated knowledge discovery in a multitude of areas including marketing, biological and geological sciences, and image processing. through well established mathematical algorithms related to pattern recognition, predictive modeling, and anomaly detection, warehouses of data have been explored and interpreted with the purposes of helping researchers unveil and understand complex patterns. In this paper, we present the development of a web-based Data Mining Utility, created with the ultimate goal of allowing medical researchers to detect new artifacts that have been previously obscured through conventional signal processing techniques in neurological datasets. this web tool is powered by Data to Knowledge, which was created by the Automated Learning Group of the National Center for Supercomputing applications at the University of Illinois, by integrating a vast library of customizable data mining techniques into a unified programming environment. Using this framework, along with the D2K Web Service, this Data Mining Utility will enhance an established Multi-Site Pediatric Network for fMRI in Childhood Epilepsy, as a means for researchers to gain further insight on medical case studies.

关键词： Web services

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An approach to the 2D Hilbert Transform for image processing applications

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4th international conference on Image Analysis and recognition

作者： Lorenzo-Ginori, Juan Valentin Univ Cent Las Villas Ctr Studies Elect & Informat Technol Santa Clara 54830 VC Cuba

ISBN: (纸本)9783540742586

the Hilbert Transform (HT) and the analytic signal (AS) are widely used in their one-dimensional version for various applications. However, in the bi-dimensional (2D) case as occur for images, the definition of the 2D-HT is not unique and several approaches to it have been developed, having as one of the main goals to obtain a meaningful 2D-AS or analytic image, which can be used for various practical applications. In this work, one particular approach to the 2D-HT is introduced that allowed the calculation of analytic images which satisfy the basic properties that these functions have in the ID case, and that produces a 2D spectrum equal to zero in one quadrant. the methods for calculation of the discrete version of the 2D-HT and the associated AS are presented and analyzed, as well as two applications, for edge detection and for envelope detection in a 2D AM modulated radial chirp.

关键词： Hilbert spaces

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Low dimensional surface parameterisation with applications in biometrics

Low dimensional surface parameterisation with applications i...

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4th international conference Medical Information Visualisation: BioMedical Visualisation, MediViz 2007

作者： Wei, Quan Matuszewski, Bogdan J. Shark, Lik-Kwan Ait-Boudaoud, Djamel Applied Digital Signal and Image Processing Centre University of Central Lancashire Preston PR1 2HE United Kingdom

ISBN: (纸本)0769529046

this paper describes initial results from a novel low dimensional surface parameterisation approach based on a modified Iterative Closest Point (ICP) registration process which uses vertex based Principal Component Analysis (PCA) to incorporate a deformable element into registration process. Using this method a 3-D surface is represented by a shape space vector of much smaller dimensionality than the dimensionality of the original data space vector. the proposed method is tested on both simulated 3-D faces with different facial expressions and real face data. It is shown that the proposed surface representation can be potentially used as feature space for a facial expression recognition system. © 2007 IEEE.

关键词： Biometrics

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A nonlinear subspace method for pattern recognition using a nonlinear PCA

A nonlinear subspace method for pattern recognition using a ...

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8th iasted international conference on signal and Image processing

作者： Saegusa, Ryo Hashimoto, Shuji Waseda Univ Dept Appl Phys Sch Sci & Engn Shinjuku Ku Okubo 3-4-1 Tokyo 1698555 Japan

ISBN: (纸本)9780889865839

Linear subspace method based on principal component analysis has been applied for pattern recognition of high-dimensional data. However, the linear subspace method can not represent nonlinear characteristics of the data-distribution efficiently. In order to overcome this problem, some nonlinear subspace methods have been proposed. In this paper, we propose a novel nonlinear subspace method for pattern recognition using multi-layered perceptrons which can hierarchically construct a nonlinear subspace from the data-distribution. We introduce the optimization scheme of the subspace taking into account the classification. the proposed method achieves high classification accuracy by the optimization scheme and provides the finite subspace to avoid the crossover of the subspaces. We examine its effectiveness through some experiments.

关键词： subspace method pattern recognition feature extraction nonlinear PCA neural networks eigenspace

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Modified SAFIA utilizing aggregated microphones

Modified SAFIA utilizing aggregated microphones

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3rd iasted international conference on signal processing, pattern recognition, and applications

作者： Matsumoto, Mitsuharu Hashimoto, Shuji Department of Applied Physics Waseda University 55N-4F-10A 3-4-1 Okubo Tokyo Japan

ISBN: (纸本)0889865477

this paper introduces SAFIA: sound source Segregation based on estimating incident Angle of each Frequency component of Input sources Acquired by multiple microphones, which utilizes the level differences of directional microphones located at the same place, namely aggregated microphones. SAFIA can realize sound source separation based on the difference of the power level between two microphones. In the conventional SAFIA, one microphone for target signal (handset) is located near the target signal. the other microphone for noise signal is located far from the target signal. Hence, SAFIA needs the large system size. Our research target is to solve this problem utilizing aggregated microphones. In this paper, we firstly explain the conventional SAFIA system and the problem of SAFIA. We then apply SAFIA to the aggregated microphones and compare the proposed method with the conventional SAFIA. We demonstrate the experimental results of sound separation utilizing the proposed method.

关键词： Microphones

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Combined speech recognition and speaker verification over the fixed and mobile telephone networks

Combined speech recognition and speaker verification over th...

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3rd iasted international conference on signal processing, pattern recognition, and applications

作者： Kounoudes, Anastasis Antonakoudi, Anixi Kekatos, Vassilis Peleties, Philippos Philips College Department of Computer and Information Systems 4-6 Lamias Str Nicosia 2001 Cyprus University of Patras Computer Engineering and Informatics Dept. University of Patras Rio-Patras 26442 Greece Universal Bank Cyprus

ISBN: (纸本)0889865477

A double-digit text-dependent speaker verification and text validation system is presented for use in telephone services. the system utilizes concatenated phoneme HMMs for both speech recognition and user authentication, and works in a soundprompted mode. Tests with Hidden Markov Models (HMMs) using Perceptual Linear Prediction (PLP) and Mel Frequency Cepstral Coefficients (MFCC) as well as Cepstral Mean Subtraction (CMS) are performed to assess their effect on recognition performance. the paper also studies the effects of various factors such as the length of the training data, the number of embedded re-estimations and Gaussian mixtures in training of the HMMs, the use of world models, bootstrapping, and user-depended thresholds on the performance of speech recognition and speaker verification.

关键词： Speech recognition

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Proceedings of the Fourth iasted international conference on Circuits, signals, and Systems, CSS 2006

Proceedings of the Fourth IASTED International Conference on...

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4th iasted international conference on Circuits, signals, and Systems, CSS 2006

ISBN: (纸本)9780889866072

the proceedings contain 69 papers. the topics discussed include: notes on the passive and active redundancies in digital technology;design issues and implementation strategies for building on-chip voltage level-shifting circuits;a novel image compression algorithm for hardware implementation;the study on the parameters used in calculating correlative dimension;an algorithm for tracking motion objects;multi-resolution wavelet analyses for detection of potential defects in motor bearings using vibration signals;factorization approach to control design - utilization for systems with parametric uncertainty;realization of the third-order high-pass transfer function;an evolutionary time-series model for partitioning a circuit pertaining to VLSI design using neuro-memetic algorithm;a novel duration model for speech recognition;Markov family models and its applications;and a processing element for digital asynchronous/synchronous vision chip.

关键词： Digital circuits

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Proceedings of the 8th iasted international conference on signal and Image processing, SIP 2006

Proceedings of the 8th IASTED International Conference on Si...

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8th iasted international conference on signal and Image processing, SIP 2006 and the 10th iasted international conference on Internet and Multimedia Systems and applications, IMSA 2006

ISBN: (纸本)0889865833

the proceedings contain 90 papers. the topics discussed include: applying multiple instances and matching algorithm in face verification system;autonomous cropping and feature extraction using time-frequency marginal distributions for LPI radar classification;object recognition using don't care dimensions and its application to information retrieval system on cellular phone;comparison between weighted D-KNN and other classifiers for mandarin speech emotion recognition;quasi-motion extraction utilizing edge field analysis;an improved algorithm of viewpoint space partition in 3D object recognition application;experiments with soft fusion methods when bagging k-NN Classifiers;a nonlinear subspace method for pattern recognition using a nonlinear PCA;detecting the degree of anomaly in security videos by using a spatio-temporal feature of change;and illuminant-invariant Bayesian detection of moving video objects.

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