Relevant bibliographies by topics / Source enumeration

Contents

  1. Journal articles

Academic literature on the topic 'Source enumeration'

Author: Grafiati
Published: 21 December 2024

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Source enumeration.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Source enumeration"

1

Lee, Yunseong, Chanhong Park, Taeyoung Kim, et al. "Source Enumeration Approaches Using Eigenvalue Gaps and Machine Learning Based Threshold for Direction-of-Arrival Estimation." Applied Sciences 11, no. 4 (2021): 1942. http://dx.doi.org/10.3390/app11041942.

Full text
Abstract:
Source enumeration is an important procedure for radio direction-of-arrival finding in the multiple signal classification (MUSIC) algorithm. The most widely used source enumeration approaches are based on the eigenvalues themselves of the covariance matrix obtained from the received signal. However, they have shortcomings such as the imperfect accuracy even at a high signal-to-noise ratio (SNR), the poor performance at low SNR, and the limited detection number of sources. This paper proposestwo source enumeration approaches using the ratio of eigenvalue gaps and the threshold trained by a mach
APA, Harvard, Vancouver, ISO, and other styles
2

Kim, Taeyoung, Yunseong Lee, Chanhong Park, et al. "Source Enumeration Method using Eigenvalue Gap Ratio and Performance Comparison in Rayleigh Fading." Journal of the Korea Institute of Military Science and Technology 24, no. 5 (2021): 492–502. http://dx.doi.org/10.9766/kimst.2021.24.5.492.

Full text
Abstract:
In electronic warfare, source enumeration and direction-of-arrival estimation are important. The source enumeration method based on eigenvalues of covariance matrix from received is one of the most used methods. However, there are some drawbacks such as accuracy less than 100 % at high SNR, poor performance at low SNR and reduction of maximum number of estimating sources. We suggested new method based on eigenvalues gaps, which is named AREG(Accumulated Ratio of Eigenvalues Gaps). Meanwhile, FGML(Fast Gridless Maximum Likelihood) which reconstructs the covariance matrix was suggested by Wu et
APA, Harvard, Vancouver, ISO, and other styles
3

Cuichun Xu and S. Kay. "Source Enumeration via the EEF Criterion." IEEE Signal Processing Letters 15 (2008): 569–72. http://dx.doi.org/10.1109/lsp.2008.2001112.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Ge, Shengguo, Siti Nurulain Mohd Rum, Hamidah Ibrahim, Erzam Marsilah, and Thinagaran Perumal. "A Source Number Enumeration Method at Low SNR Based on Ensemble Learning." International Journal of Emerging Technology and Advanced Engineering 13, no. 3 (2023): 81–90. http://dx.doi.org/10.46338/ijetae0323_08.

Full text
Abstract:
Source number estimation is one of the important research directions in array signal processing. To solve the difficulty of estimating the number of signal sources under a low signal-to-noise ratio (SNR), a source number enumeration method based on ensemble learning is proposed. This method first preprocesses the signal data. The specific process is to decompose the original signal into several intrinsic mode functions (IMF) by using Complementary Ensemble Empirical Mode Decomposition (CEEMD), and then construct a covariance matrix and perform eigenvalue decomposition to obtain samples. Finall
APA, Harvard, Vancouver, ISO, and other styles
5

Loyer, P., J. M. Moureaux, and M. Antonini. "Lattice codebook enumeration for generalized Gaussian source." IEEE Transactions on Information Theory 49, no. 2 (2003): 521–27. http://dx.doi.org/10.1109/tit.2002.807306.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Cozzens, J. H., and M. J. Sousa. "Source enumeration in a correlated signal environment." IEEE Transactions on Signal Processing 42, no. 2 (1994): 304–17. http://dx.doi.org/10.1109/78.275604.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Akeroyd, Michael A., William M. Whitmer, David McShefferty, and Graham Naylor. "Sound-source enumeration by hearing-impaired adults." Journal of the Acoustical Society of America 139, no. 4 (2016): 2210. http://dx.doi.org/10.1121/1.4950605.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Diaz-Santos, Jose A., and Kathleen E. Wage. "Whitening and source enumeration for large underwater arrays." Journal of the Acoustical Society of America 148, no. 4 (2020): 2477. http://dx.doi.org/10.1121/1.5146862.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Garg, Vaibhav, Ignacio Santamaria, David Ramirez, and Louis L. Scharf. "Subspace Averaging and Order Determination for Source Enumeration." IEEE Transactions on Signal Processing 67, no. 11 (2019): 3028–41. http://dx.doi.org/10.1109/tsp.2019.2912151.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Eguizabal, Alma, Christian Lameiro, David Ramirez, and Peter J. Schreier. "Source Enumeration in the Presence of Colored Noise." IEEE Signal Processing Letters 26, no. 3 (2019): 475–79. http://dx.doi.org/10.1109/lsp.2019.2895548.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources
You might also be interested in the extended bibliographies on the topic 'Source enumeration' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography