Multiple signal classification

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






Conferences related to Multiple signal classification

Back to Top

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 onWireless 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.


More Conferences

Periodicals related to Multiple signal classification

Back to Top

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

Back to Top

The investigation of respiratory differences during different auditory stimuli in schizophrenia patients

Akdemir, S.; Kara, S.; Bilgiç , V. Biomedical Engineering Meeting (BIYOMUT), 2010 15th National, 2010

Here, respiratory signals were recorded from schizophrenia patients and healthy controls. The purpose of this study is to compare the respiratory effects as respiration rate and depth of different auditory stimuli in these two groups. Signals derived from a strain gauge attached to the chest were recorded for 8 min. which includes silence, Classical Turkish Music (CTM) and acoustic white ...


A compatible tape cartridge

Camras, M. Audio, IRE Transactions on, 1960

Magnetic recording is recognized as a superior medium for stereophonic entertainment, but its popularity has been handicapped by inconvenience of threading and high cost. A new approach is a tape cartridge of very low cost, which is compact, and fully protects the record. The cartridge is completely automatic on a machine designed for its use, and yet will operate manually ...


Tonic and scale recognition in Persian audio musical signals

Heydarian, P.; Jones, L. Signal Processing (ICSP), 2014 12th International Conference on, 2014

This paper proposes methods for computational identification of the tonic and scale in Persian audio musical signals. The chroma, a simplified spectrum is taken as the feature set and Bit-masking and Manhattan distance are used as the classifiers. The results are applicable to various musical traditions in the Mediterranean and the Near East. This approach enables content-based analysis of, and ...


Scatterer characterisation using polarimetric SAR tomography

Guillaso, S.; Reigber, A. Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International, 2005

First Page of the Article ![](/xploreAssets/images/absImages/01525619.png)


Feasibility study of adaptive array antenna on handset for 4G mobile communications

Hirata, A.; Mitsuzono, S.; Shiozawa, T. Antennas and Propagation Society International Symposium, 2004. IEEE, 2004

The effect of the human head on the accuracy and depth of adaptive ing has been investigated. The frequency band considered was 5.0 GHz, which would be the most promising for the 4G mobile communications. Our numerical investigation shows that the MUSIC spectrum obtained by the linear dipole array is largely affected by the antenna-head coupling. In particular, this effect ...


More Xplore Articles

Educational Resources on Multiple signal classification

Back to Top

eLearning

The investigation of respiratory differences during different auditory stimuli in schizophrenia patients

Akdemir, S.; Kara, S.; Bilgiç , V. Biomedical Engineering Meeting (BIYOMUT), 2010 15th National, 2010

Here, respiratory signals were recorded from schizophrenia patients and healthy controls. The purpose of this study is to compare the respiratory effects as respiration rate and depth of different auditory stimuli in these two groups. Signals derived from a strain gauge attached to the chest were recorded for 8 min. which includes silence, Classical Turkish Music (CTM) and acoustic white ...


A compatible tape cartridge

Camras, M. Audio, IRE Transactions on, 1960

Magnetic recording is recognized as a superior medium for stereophonic entertainment, but its popularity has been handicapped by inconvenience of threading and high cost. A new approach is a tape cartridge of very low cost, which is compact, and fully protects the record. The cartridge is completely automatic on a machine designed for its use, and yet will operate manually ...


Tonic and scale recognition in Persian audio musical signals

Heydarian, P.; Jones, L. Signal Processing (ICSP), 2014 12th International Conference on, 2014

This paper proposes methods for computational identification of the tonic and scale in Persian audio musical signals. The chroma, a simplified spectrum is taken as the feature set and Bit-masking and Manhattan distance are used as the classifiers. The results are applicable to various musical traditions in the Mediterranean and the Near East. This approach enables content-based analysis of, and ...


Scatterer characterisation using polarimetric SAR tomography

Guillaso, S.; Reigber, A. Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International, 2005

First Page of the Article ![](/xploreAssets/images/absImages/01525619.png)


Feasibility study of adaptive array antenna on handset for 4G mobile communications

Hirata, A.; Mitsuzono, S.; Shiozawa, T. Antennas and Propagation Society International Symposium, 2004. IEEE, 2004

The effect of the human head on the accuracy and depth of adaptive ing has been investigated. The frequency band considered was 5.0 GHz, which would be the most promising for the 4G mobile communications. Our numerical investigation shows that the MUSIC spectrum obtained by the linear dipole array is largely affected by the antenna-head coupling. In particular, this effect ...


More eLearning Resources

IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Multiple signal classification"

IEEE-USA E-Books

No IEEE-USA E-Books are currently tagged "Multiple signal classification"



Standards related to Multiple signal classification

Back to Top

No standards are currently tagged "Multiple signal classification"


Jobs related to Multiple signal classification

Back to Top