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 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.


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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.



Most published Xplore authors for Multiple signal classification

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Xplore Articles related to Multiple signal classification

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L-shape 2-dimensional arrival angle estimation with propagator method

N. Tayem; H. M. Kwon IEEE Transactions on Antennas and Propagation, 2005

It is known that computational loads of the propagator method (PM) can be significantly smaller, e.g., one or two order, than those of MUSIC and ESPRIT because the PM does not require any eigenvalue decomposition (EVD) of the cross-correlation matrix and singular value decomposition (SVD) of the received data. However, the PM of the parallel shape array has nonnegligible drawbacks ...


Extracting vocal melody from karaoke music audio

Y. Zhu; S. Gao 2005 IEEE International Conference on Multimedia and Expo, 2005

Extracting the melody from polyphonic musical audio is a nontrivial research problem. This paper presents an approach for vocal melody extraction from dual channel Karaoke music audio. The extracted melody corresponds to the singing voice in the original performance channel, which can then be used for melody- based music retrieval. In the proposed technique, audio signals from both the accompaniment ...


Music removal by convolutional denoising autoencoder in speech recognition

Mengyuan Zhao; Dong Wang; Zhiyong Zhang; Xuewei Zhang 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2015

Music embedding often causes significant performance degradation in automatic speech recognition (ASR). This paper proposes a music-removal method based on denoising autoencoder (DAE) that learns and removes music from music-embedded speech signals. Particularly, we focus on convolutional denoising autoencoder (CDAE) that can learn local musical patterns by convolutional feature extraction. Our study shows that the CDAE model can learn patterns ...


Automatic band segmentation based on spatio-frequency processing using MUSIC algorithm

M. Eric; M. Skender Vehicular Technology Conference, 1999. VTC 1999 - Fall. IEEE VTS 50th, 1999

Automatic band segmentation (channel isolation or information channel identification), is a key problem in automatic classification (recognition) of radiocommunication signals. All automatic radiocommunication signal classification methods published in the literature (Liedtke, 1984 and Domingues et al, 1991), are sensitive to the channel isolation or mistuning of the center frequency, or mismatch of the bandwidth and crosstalk from the adjacent frequency ...


An ant colony optimizer for melody creation with baroque harmony

Michael Geis; Martin Middendorf 2007 IEEE Congress on Evolutionary Computation, 2007

We propose an algorithm that is based on the Ant Colony Optimization (ACO) metaheuristic for producing harmonized melodies. The algorithm works in two stages. In the first stage it creates a melody. This melody is then harmonized according to the rules of Baroque harmony in the second stage. This is the first ACO algorithm to create music that uses domain ...


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Educational Resources on Multiple signal classification

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eLearning

L-shape 2-dimensional arrival angle estimation with propagator method

N. Tayem; H. M. Kwon IEEE Transactions on Antennas and Propagation, 2005

It is known that computational loads of the propagator method (PM) can be significantly smaller, e.g., one or two order, than those of MUSIC and ESPRIT because the PM does not require any eigenvalue decomposition (EVD) of the cross-correlation matrix and singular value decomposition (SVD) of the received data. However, the PM of the parallel shape array has nonnegligible drawbacks ...


Extracting vocal melody from karaoke music audio

Y. Zhu; S. Gao 2005 IEEE International Conference on Multimedia and Expo, 2005

Extracting the melody from polyphonic musical audio is a nontrivial research problem. This paper presents an approach for vocal melody extraction from dual channel Karaoke music audio. The extracted melody corresponds to the singing voice in the original performance channel, which can then be used for melody- based music retrieval. In the proposed technique, audio signals from both the accompaniment ...


Music removal by convolutional denoising autoencoder in speech recognition

Mengyuan Zhao; Dong Wang; Zhiyong Zhang; Xuewei Zhang 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2015

Music embedding often causes significant performance degradation in automatic speech recognition (ASR). This paper proposes a music-removal method based on denoising autoencoder (DAE) that learns and removes music from music-embedded speech signals. Particularly, we focus on convolutional denoising autoencoder (CDAE) that can learn local musical patterns by convolutional feature extraction. Our study shows that the CDAE model can learn patterns ...


Automatic band segmentation based on spatio-frequency processing using MUSIC algorithm

M. Eric; M. Skender Vehicular Technology Conference, 1999. VTC 1999 - Fall. IEEE VTS 50th, 1999

Automatic band segmentation (channel isolation or information channel identification), is a key problem in automatic classification (recognition) of radiocommunication signals. All automatic radiocommunication signal classification methods published in the literature (Liedtke, 1984 and Domingues et al, 1991), are sensitive to the channel isolation or mistuning of the center frequency, or mismatch of the bandwidth and crosstalk from the adjacent frequency ...


An ant colony optimizer for melody creation with baroque harmony

Michael Geis; Martin Middendorf 2007 IEEE Congress on Evolutionary Computation, 2007

We propose an algorithm that is based on the Ant Colony Optimization (ACO) metaheuristic for producing harmonized melodies. The algorithm works in two stages. In the first stage it creates a melody. This melody is then harmonized according to the rules of Baroque harmony in the second stage. This is the first ACO algorithm to create music that uses domain ...


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