Literatura académica sobre el tema "Source enumeration"

Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros

Elija tipo de fuente:

Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Source enumeration".

Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.

También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.

Artículos de revistas sobre el tema "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.

Texto completo
Resumen
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
Los estilos APA, Harvard, Vancouver, ISO, etc.
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.

Texto completo
Resumen
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
Los estilos APA, Harvard, Vancouver, ISO, etc.
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.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
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.

Texto completo
Resumen
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
Los estilos APA, Harvard, Vancouver, ISO, etc.
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.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
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.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
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.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
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.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
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.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
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.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
Más fuentes
Ofrecemos descuentos en todos los planes premium para autores cuyas obras están incluidas en selecciones literarias temáticas. ¡Contáctenos para obtener un código promocional único!