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Particle Filtering in Signal Processing

  1. Content type: Research Article

    In many situations, there is a need to approximate a sequence of probability measures over a growing product of finite spaces. Whereas it is in general possible to determine analytic expressions for these prob...

    Authors: Pascal Cheung-Mon-Chan and Eric Moulines

    Citation: EURASIP Journal on Advances in Signal Processing 2004 2004:106356

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  2. Content type: Research Article

    We investigate the problem of bearings-only tracking of manoeuvring targets using particle filters (PFs). Three different (PFs) are proposed for this problem which is formulated as a multiple model tracking pr...

    Authors: M. Sanjeev Arulampalam, B. Ristic, N. Gordon and T. Mansell

    Citation: EURASIP Journal on Advances in Signal Processing 2004 2004:562960

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  3. Content type: Research Article

    We propose a new timing error detector for timing tracking loops inside the Rake receiver in spread spectrum systems. Based on a particle filter, this timing error detector jointly tracks the delays of each pa...

    Authors: Tanya Bertozzi, Didier Le Ruyet, Cristiano Panazio and Han Vu Thien

    Citation: EURASIP Journal on Advances in Signal Processing 2004 2004:705208

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  4. Content type: Research Article

    This paper explores the use of particle filters for beat tracking in musical audio examples. The aim is to estimate the time-varying tempo process and to find the time locations of beats, as defined by human p...

    Authors: Stephen W. Hainsworth and Malcolm D. Macleod

    Citation: EURASIP Journal on Advances in Signal Processing 2004 2004:927847

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  5. Content type: Research Article

    In recent years, particle filtering has become a powerful tool for tracking signals and time-varying parameters of random dynamic systems. These methods require a mathematical representation of the dynamics of...

    Authors: Joaquín Míguez, Mónica F. Bugallo and Petar M. Djurić

    Citation: EURASIP Journal on Advances in Signal Processing 2004 2004:303619

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    The Research Article to this article has been published in EURASIP Journal on Advances in Signal Processing 2006 2006:078708

  6. Content type: Research Article

    We present a method for sequentially estimating time-varying noise parameters. Noise parameters are sequences of time-varying mean vectors representing the noise power in the log-spectral domain. The proposed ...

    Authors: Kaisheng Yao and Te-Won Lee

    Citation: EURASIP Journal on Advances in Signal Processing 2004 2004:613827

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  7. Content type: Research Article

    The mixture Kalman filter is a general sequential Monte Carlo technique for conditional linear dynamic systems. It generates samples of some indicator variables recursively based on sequential importance sampl...

    Authors: Dong Guo, Xiaodong Wang and Rong Chen

    Citation: EURASIP Journal on Advances in Signal Processing 2004 2004:413780

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  8. Content type: Research Article

    Newly developed resampling algorithms for particle filters suitable for real-time implementation are described and their analysis is presented. The new algorithms reduce the complexity of both hardware and DSP...

    Authors: Miodrag Bolić, Petar M. Djurić and Sangjin Hong

    Citation: EURASIP Journal on Advances in Signal Processing 2004 2004:403686

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  9. Content type: Research Article

    We develop a new receiver for joint symbol, channel characteristics, and code delay estimation for DS spread spectrum systems under conditions of multipath fading. The approach is based on particle filtering t...

    Authors: Elena Punskaya, Arnaud Doucet and William J. Fitzgerald

    Citation: EURASIP Journal on Advances in Signal Processing 2004 2004:413170

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  10. Content type: Research Article

    We propose the use of particle filtering techniques and Monte Carlo methods to tackle the in-line and blind equalization of a satellite communication channel. The main difficulties encountered are the nonlinea...

    Authors: Stéphane Sénécal, Pierre-Olivier Amblard and Laurent Cavazzana

    Citation: EURASIP Journal on Advances in Signal Processing 2004 2004:591429

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  11. Content type: Research Article

    We present a change detection method for nonlinear stochastic systems based on particle filtering. We assume that the parameters of the system before and after change are known. The statistic for this method i...

    Authors: Babak Azimi-Sadjadi and P. S. Krishnaprasad

    Citation: EURASIP Journal on Advances in Signal Processing 2004 2004:326929

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  12. Content type: Research Article

    Authors: Petar M. Djurić, Simon J. Godsill and Arnaud Doucet

    Citation: EURASIP Journal on Advances in Signal Processing 2004 2004:153190

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