Multiple signal classification

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MUltiple SIgnal Classification (MUSIC) is an algorithm used for frequency estimation and emitter location. (Wikipedia.org)






Conferences related to Multiple signal classification

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2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

The 23rd MLSP workshop in the series organized by the Signal Processing Society MLSP Technical Committee will present the most recent and exciting advances in data analysis for signal processing problems. The MLSP workshop is to bring together the researchers from all over the world to exchange ideas and share the most recent research achievements in signal processing developments for machine learning and cognition systems through plenary talks, tutorials as well as special and regular single-track sessions


2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)

The 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 13) will be held at the Mohonk Mountain House in New Paltz, New York, and is sponsored by the Audio and Acoustic Signal Processing committee of the IEEE Signal Processing Society. The objective of this workshop is to provide an informal environment for the discussion of problems in audio and acoustics and signal processing techniques leading to novel solutions.


2013 International Conference on Wireless Communications and Signal Processing (WCSP)

WCSP aims to gather International researchers from academia and industry to meet and exchange ideas and recent research works across the broad field of wireless technologies. Potential topics are solicited in, but not limited to the following areas: 1. Communication Theory 2. Wireless Communications 3. Wireless Networking 4. Signal Processing

  • 2012 International Conference on Wireless Communications & Signal Processing (WCSP 2012)

    * Communications Theory * Wireless Communications * Wireless Networking * Signal Processing

  • 2011 International Conference on Wireless Communications & Signal Processing (WCSP 2011)

    The Conference is the premier forum for the presentation of new advances and research results in the fields of theoretical, experimental, and applied Wireless Communications and Signal Processing. The conference aims to bring together leading researchers, scientists, engineers and scholar students in the domain of interest from around the world to exchange and share their experiences, new ideas and results in challenges encountered and solutions adopted.

  • 2010 International Conference on Wireless Communications & Signal Processing (WCSP 2010)

    WCSP 2010 is the premier forum for the presentation of new advances and research results in the fields of theoretical, experimental, and applied Wireless Communications and Signal Processing aims to exchange and share the experiences, new ideas and results in challenges encountered and solutions adopted.

  • 2009 International Conference on Wireless Communications & Signal Processing (WCSP 2009)

    WCSP 2009 is the first international conference on Wireless Communications and Signal Processing. It is planning to be held in Nanjing, China. Nanjing played an important role in these areas. There are a lot of IEEE members, wireless and mobile clients, services providers and producers in Nanjing.


2012 20th Signal Processing and Communications Applications Conference (SIU)

Conference will discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. Conference will also include invited lectures, tutorials and special sessions.

  • 2011 19th Signal Processing and Communications Applications Conference (SIU)

    Conference will bring together academia and industry professionals as well as students and researchers to present and discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. The Conference will also include invited lectures, tutorials and special sessions.

  • 2010 IEEE 18th Signal Processing and Communications Applications Conference (SIU)

    S1.Theory of Signal-Processing S2.Statistical Signal-Processing S3.Multimedia Signal-Processing S4.Biomedical Signal-Processing S5.Sensor Networks S6.Multirate Signal-Processing S7.Pattern Recognition S8.Computer Vision S9.Adaptive Filters S10.Image/Video/Speech Browsing, Retrieval S11.Speech/Audio Coding S12.Speech Processing S13.Human-Machine Interfaces S14.Surveillance Signal Processing S15.Bioinformatics S16.Self-Learning S17.Signal-Processing Education S18.Signal-Processing Systems S1

  • 2009 IEEE 17th Signal Processing and Communications Applications Conference (SIU)

    The scope of the conference is to cover recent topics in theory and applications of Signal Processing and Communications.

  • 2008 IEEE 16th Signal Processing and Communications Applications Conference (SIU)

    Signal Processing, Image Processing, Speech Processing, Pattern Recognition, Human Computer Interaction, Communication, Video and Speech indexing, Computer Vision, Biomedical Signal Processing

  • 2007 IEEE 15th Signal Processing and Communications Applications (SIU)


2011 IEEE 3rd International Conference on Signal Processing Systems (ICSPS)

ICSPS is one of the leading international conferences for presenting novel and fundamental advances in the fields of Signal Processing Systems. It also serves to foster communication among researchers and practitioners working in a wide variety of scientific areas with a common interest in improving Signal Processing Systems related techniques.


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Periodicals related to Multiple signal classification

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Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Signal Processing, IEEE Transactions on

The technology of transmission, recording, reproduction, processing, and measurement of speech; other audio-frequency waves and other signals by digital, electronic, electrical, acoustic, mechanical, and optical means; the components and systems to accomplish these and related aims; and the environmental, psychological, and physiological factors of thesetechnologies.




Xplore Articles related to Multiple signal classification

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Array signal processing: DOA estimation for missing sensors

Gupta, L.; Singh, R.P. Power, Control and Embedded Systems (ICPCES), 2010 International Conference on, 2010

Array signal processing involves signal enumeration and source localization. Array signal processing is centered on the ability to fuse temporal and spatial information captured via sampling signals emitted from a number of sources at the sensors of an array in order to carry out a specific estimation task: source characteristics (mainly localization of the sources) and/or array characteristics (mainly array ...


Multiple signal source localization from spatio-temporal magnetocardiogram

Kudo, H.; Maemura, T.; Saito, T. Nuclear Science Symposium and Medical Imaging Conference, 1994., 1994 IEEE Conference Record, 1994

Mosher et al. (1992) have proposed a new method to localize multiple dipoles from spatio-temporal biomagnetic data. The method is based on the multiple signal classification (MUSIC) developed in the field of array signal processing. However, the MUSIC fails to produce good solutions in some situations where time series from multiple dipoles are strongly correlated, multiple dipoles are closely spaced, ...


Resolution of signal sources via spectral moment estimation

Monakov, A.A.; Varfolomeev, G.A. Aerospace and Electronic Systems, IEEE Transactions on, 2006

In different practical situations it is desired to estimate the number of signal sources and their positions in space or in frequency domain. The first problem is known as the detection or the order estimation and the second one as the resolution. For the resolution problem techniques such as nonlinear least squares (NLSM), high-order Yule-Walker method (HOYW), multiple signal classification ...


Designing a Multi Trial Classifier for EEG Signals: Classifying Rhythms Perceived

de Kruif, B.J.; Desain, P. Machine Learning for Signal Processing, 2006. Proceedings of the 2006 16th IEEE Signal Processing Society Workshop on, 2006

Classification of EEG-signals is error-prone, due to the the small differences in the measurements and the inherent presence of continuing brain dynamics. Often these dynamics are denoted as noise, and in this view, classification is difficult, due to the small signal to noise ratio. We investigate how multiple trials of our EEG data can be used to increase the classification ...


Spectral estimation of cavitation related narrow-band ship radiated noise based on fractional lower order statistics and multiple signal classification

Firat, U.; Akgul, T. Oceans - San Diego, 2013, 2013

Narrow-band spectral components of ship radiated noise are of crucial importance for sonar operators in order to detect and classify possible targets. Classical spectral estimation techniques have been widely used to fulfill the requirements for narrow-band signal detection. However, classical methods may not be sufficient when signal-to-noise ratio is relatively low. In this paper we propose to utilize the subspace ...


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Standards related to Multiple signal classification

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