La separación ciega de fuentes, conocida como BSS por sus siglas en inglés (Blind Source Separation), es una técnica de procesamiento de señales que consiste en estimar fuentes en señales mezcladas linealmente, utilizando métodos como el ICA, para ...
Camilo Andrés Lemus +1 more
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Blind Source Separation Using Time-Delayed Dynamic Mode Decomposition
Blind Source Separation (BSS) is a significant field of study in signal processing, with many applications in various fields such as audio processing, speech recognition, biomedical signal analysis, image processing and communication systems. Traditional
Gyurhan Nedzhibov
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Multiple Sound Source Localization Using SVD-PHAT-ATV on Blind Source Separation
Estimating the location of a target sound source is an important task in many fields. The blind source separation (BSS) algorithm is closely related to the multiple sound source localization problem.
Jun Hyung Kim, Hyung-Min Park
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Optimizing image watermarking integrity and visual quality via DTPSO and hybrid transform methods. [PDF]
Khafaga DS +4 more
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Transformer-Based Nonlinear Blind Source Separation for Anti-Jamming in DSSS Satellite Communications. [PDF]
Sun X, Li C, Li J, Su Q.
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A Blind Source Separation Method Based on Bounded Component Analysis Optimized by the Improved Beetle Antennae Search. [PDF]
Tang M, Wu Y.
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Source signal sparsity enhancement based on local maximum synchronous extraction transform algorithm for mixed matrix estimation in UBSS. [PDF]
Li X +5 more
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Color-filter-array-based multispectral photoplethysmography optical sensor and its motion artifact correction algorithm. [PDF]
Wei Y +6 more
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A general framework for investigating neurodevelopment of brain functional networks using multisite and longitudinal neuroimaging. [PDF]
Lukemire J, Wang Y, Guo Y.
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Distributed Phased-Array Radar Mainlobe Interference Suppression and Cooperative Localization Based on CEEMDAN-WOBSS. [PDF]
Liu X, He H, Li R, Wu Y, Zhang X, You Y.
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