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Seismic-array signal processing for moving source localization

Seismic-array signal processing for moving source localizati...

引用

conference on advanced signal processing algorithms, Architectures, and Implementations XVII

作者： Stafsudd, Jing Z. Hudson, Ralph E. Taciroglu, Ertugrul Yao, Kung UCLA Dept Elect Engn Los Angeles CA 90095 USA UCLA Dept Civil & Environm Engn Los Angeles CA 90095 USA

ISBN: (纸本)9780819468451

In this paper, we consider the use of a seismic sensor array for the localization and tracking of a wideband moving source. The proposed solution consists of two steps: source Direction-Of-Arrival (DOA) estimation and localization via DOA estimates. Three DOA estimation methods are considered. The Covariance Matrix Analysis and the Surface Wave Analysis are previously published DOA estimation algorithms shown to be effective in the localization of a stationary wideband source. This paper investigates their performance on moving wideband sources. A novel DOA estimation algorithm, the Modified Kirlin's Method was also developed for the localization of a moving Source. The DOAs estimated by these algorithms are combined rising a least-squares optimization for source localization. The application of these algorithms to real-life data show the effectiveness of both the Surface Wave Analysis and the Modified Kirlin's Method in locating and tracking a wideband moving source.

关键词： direction-of-arrival (DOA) source localization mover localization seismic signal processing surface waves

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Quartic functions for time-frequency analysis with applications to signal adaptive kernel design

Quartic functions for time-frequency analysis with applicati...

引用

conference on advanced signal processing - algorithms, Architectures, and Implementations VII

作者： ONeill, JC Ecole Normale Superieure de Lyon (United States)

ISBN: (纸本)0819425842

In time-frequency analysis, we extend functions of one variable to functions of two variables. The functions of two variables provide information about the signal that is not easily discernible from the functions of one variable. In this paper, we investigate a method for creating quartic functions of three variables and also a quartic function of all four variables. These quartic functions provide a meaningful representation of the signal that goes beyond the well known quadratic functions. The quartic functions are applied to the design of signal-adaptive kernels for Cohen's class and shown to provide improvements over previous methods.

关键词： time-frequency analysis kernel design quartic functions

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advanced Results Demonstrating that Lévy Firefly Bio-Inspired algorithms Can Improve Fetal Electrocardiogram (FECG) Adaptive signal processing

Advanced Results Demonstrating that Lévy Firefly Bio-Inspir...

引用

Asilomar conference on signals, Systems & Computers

作者： W. K. Jenkins C. Radhakrishnan School of Electrical and Computer Engineering Pennsylvania State University University Park PA Dept. of Elec. and Comp. Engr. University of Illinois Urbana-Champaign IL

ISBN: (数字)9798350354058

ISBN: (纸本)9798350354065

Previously published results demonstrated that a sequential combination of adaptive linear prediction configuration (LPC), adaptive noise cancellation (ANC), and adaptive comb filtering (CF) can effectively remove maternal interference from noninvasive fetal ECGs. More recent research results have verified that the bio-inspired Lévy Flight Firefly Algorithm (LFFA) can be effectively applied to many different forms of linear and non-linear adaptive filter structures, including low sensitivity IIR adaptive structures that could not be used with steepest descent adaptive algorithms due to their adaptive multimodal characteristics. This paper presents results when using the LFFA algorithm in various stages of the FECG sequential combination processing.

关键词： Computers Sensitivity Adaptive systems Filtering signal processing algorithms Interference Electrocardiography Prediction algorithms Noise cancellation Optimization

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Time-frequency decomposition based on information

Time-frequency decomposition based on information

引用

conference on advanced signal processing algorithms, Architectures, and Implementations XVI

作者： Aviyente, Selin Michigan State Univ E Lansing MI 48824 USA

ISBN: (纸本)0819463922

In array processing applications, it is desirable to extract the sources that generate the observed signals. There are various source separation and component extraction algorithms in literature including principal component analysis (PCA) and independent component analysis (ICA). However, most of these methods are not designed to deal with time-varying signals and thus are formulated in the time domain. In this paper, we introduce a new time-frequency based decomposition method using an information measure as the decomposition criteria. It is shown that under the assumption of disjoint source signals on the time-frequency plane, this method can extract the sources up to a scalar factor. Based on the QR decomposition of the mixing matrix, the source extraction algorithm is reduced to finding the optimal N-dimensional rotation of the observed time-frequency distributions. The proposed algorithm is implemented using the steepest descent approach to find the optimal rotation angle. The performance of the method is illustrated for example signals and compared to some well-known decomposition techniques.

关键词： Time-frequency analysis Independent component analysis Transform theory Principal component analysis Associative arrays Image information entropy Matrices signal processing Sensors Array processing

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Wigner equations of motion for classical systems

Wigner equations of motion for classical systems

引用

conference on advanced signal processing algorithms, Architectures, and Implementations X

作者： Galeani, L Cohen, L CUNY New York NY 10021 USA

ISBN: (纸本)0819437611

We present a general procedure for obtaining equations of motion for the Wigner distribution of functions that are governed by ordinary and partial differential equations. For the case of fields we show that in general one must consider Wigner distributions of the four variables, position, momentum, time and frequency. We also show that in general one cannot write an equation of motion for position and momentum however it can be done in some cases, the Schrodinger equation being one such case. Our method leads to an equation of motion for the Schrodinger equation with time dependent potentials in contrast to the result obtained by Wigner and Moyal which was for time independent potentials.

关键词： Ordinary differential equations Partial differential equations Fourier transforms Oscillators Differential equations Acoustics Electromagnetism signal processing Switches

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Generalized CORDIC for digital signal processing

Generalized CORDIC for digital signal processing

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1982 IEEE International conference on Acoustics, Speech, and signal processing, ICASSP 1982

作者： Lee, Daniel T.L. Morf, Murtin Hewlett-Packard Laboratories 1501 Page Mill Road Palo AltoCA94304 United States Information Systems Laboratory Stanford University StanfordCA94305 United States

Many fast signal processing algorithms are based on a geometric framework and efficient implementations of these algorithms often require the computation of elementary functions involving such operations as vector rotations and exponentials. The CORDIC (COordinate Rotation Digital Computer) algorithms are the natural candidates for these elementary operations and they lead to novel realizations in many promising algorithms such as the square-root normalized ladder algorithms. FFT and several well-known matrix algorithms for signal processing. The development of algorithms involving nonstationary processes and the limiting constraints of VLSI motivate the extension of the CORDIC concept in other directions. It can be applied not only to one-parameter groups but to other Lie groups as well, i.e., higher dimensional manifolds, leading to generalized CORDIC algorithms. The computation of special functions is some of the potential benefits. Several such generalizations will be discussed. © 1982 IEEE.

关键词： Computational efficiency

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Integrated numeric and symbolic signal processing using a heterogeneous design environment 6

Integrated numeric and symbolic signal processing using a he...

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conference on advanced signal processing algorithms, Architectures, and Implementations VI

作者： Mani, R Nawab, SH Winograd, JM Evans, BL BOSTON UNIV BOSTONMA 02215

ISBN: (纸本)0819422347

We present a solution to a complex multi-tone transient detection problem to illustrate the integrated use of symbolic and numeric processing techniques which are supported by well-established underlying models. Examples of such models include synchronous dataflow for numeric processing and the blackboard paradigm for symbolic heuristic search. Our transient detection solution serves to emphasize the importance of developing system design methods and tools which can support the integrated use of well- established symbolic and numerical models of computation. Recently, we incorporated a blackboard-based model of computation underlying the Integrated processing and Understanding of signals (IPUS) paradigm into a system-level design environment for numeric processing called Ptolemy. Using the IPUS/Ptolemy environment, we are implementing our solution to the multi-tone transient detection problem.

关键词： design environments symbolic signal processing heuristic search blackboard model synchronous dataflow model Ptolemy Integrated processing and Understanding of signals (IPUS) multi-tone transient detection Adaptive Time-Frequency Representation (ATFR)

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Parallel processor in space time adaptive signal processing

Parallel processor in space time adaptive signal processing

引用

CIE International conference on Radar

作者： Su, T Bao, Z Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Shannxi Peoples R China

ISBN: (纸本)0780370007

The massive processing volume of multichannel space time adaptive signal processing (STAP) is a great challenge to implement. The difficulties lie on intensive computation, high data communication bandwidth and complexity of processing method. Now with advanced parallel DSP modules, based on the parallel processing technique and fast algorithms, the STAP processor can be realized. The overall hardware equipment was greatly reduced to be affordable. A compact processor with better performance to cost ratio can be implemented.

关键词： fast algorithm parallel processing

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Analyzing facial images using empirical mode decomposition for illumination artifact removal and improved face recognition

Analyzing facial images using empirical mode decomposition f...

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32nd IEEE International conference on Acoustics, Speech and signal processing

作者： Bhagavatula, Ramamurthy Savvides, Marios Carnegie Mellon Univ Dept Elect & Comp Engn Pittsburgh PA 15213 USA

ISBN: (纸本)9781424407286

A popular modality of biometrics, facial recognition is effective when used in controlled environments as in those situations where factors such as camera position, facial expression, and illumination effects are either completely or partially controlled in a beneficial way. Regulation of such factors has an immediate effect on the performance of facial recognition algorithms, in particular illumination effects which can not be controlled by even the most cooperative of users. In this paper we describe a method to address illumination effects in the biometric modality of face recognition using the signal processing analysis tool of Empirical Mode Decomposition (EMD) to decompose images into their intrinsic mode function that correspond to the dominant illumination factors. Using these illumination modes we reconstruct the facial image without these illumination distortion components to synthesize a more illumination neutral facial image. We then perform verification experiments using algorithms such as Principal Component Analysis (PCA), Fisher Linear Discriminant Analysis (FLDA), and advanced Correlation Filters (ACF's) to demonstrate the fundamental effectiveness of EMD as an illumination compensation method. Results are reported on the Carnegie Mellon University Pose-Illumination-Expression (CMU PIE) database.

关键词： image processing image classification security

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Infrared image processing and its application to forest fire surveillance

Infrared image processing and its application to forest fire...

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IEEE conference on advanced Video and signal Based Surveillance

作者： Bosch, Ignacio Gomez, Soledad Vergara, Luis Moragues, Jorge Univ Politecn Valencia ITEAM Valencia Spain

ISBN: (纸本)9781424416950

This paper describes an scheme for automatic forest surveillance. A complete system for forest fire detection is firstly presented although we focus on infrared image processing. The proposed scheme based on infrared image processing performs early detection of any fire threat. With the aim of determining the presence or absence of fire, the proposed algorithms performs the fusion of different detectors which exploit different expected characteristics of a real fire, like persistence and increase. Theoretical results and practical simulations are presented to corroborate the control of the system related with probability of false alarm (PFA). Probability of detection (PD) dependence on signal to noise ration (SNR) is also evaluated.

关键词： Infrared imaging control systems probability of false alarm Image processing FOREST FIRE DETECTION Fire

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