Results 21 to 30 of about 2,237,659 (305)
Blind Source Separation Method for Frequency-Hopping Signal in Synchronous Networking Under Underdetermined Condition [PDF]
Jisuanji gongcheng, 2020 To implement blind source separation of frequency-hopping signals in synchronous networking under underdetermined conditions,this paper proposes a frequency-hopping signal separation method based on the parallel factor analysis model and subspace ...
WANG Shaobo, GUO Ying, SUI Ping, LI Hongguang, YANG Xin
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Entropy, 2022 On the basis of ensuring the quality and concealment of steganographic images, this paper proposes a double-matrix decomposition image steganography scheme with multi-region coverage, to solve the problem of poor extraction ability of steganographic ...
Ping Pan +3 more
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A variant of the reciprocal super Catalan matrix
Special Matrices, 2015 Recently Prodinger [8] considered the reciprocal super Catalan matrix and gave explicit formulæ for its LU-decomposition, the LU-decomposition of its inverse, and obtained some related matrices. For all results, q-analogues were also presented.
Kılıç Emrah +2 more
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CS Decomposition Based Bayesian Subspace Estimation [PDF]
, 2012 In numerous applications, it is required to estimate the principal subspace of the data, possibly from a very limited number of samples. Additionally, it often occurs that some rough knowledge about this subspace is available and could be used to improve
Besson, Olivier +2 more
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Singular value representation of the coherence Poincaré sphere
Journal of the European Optical Society-Rapid Publications, 2022 The so-called coherence Poincaré sphere was recently introduced for geometrical visualization of the state of two-point spatial coherence of a random electromagnetic beam. The formalism and its interpretation strongly utilized a specific decomposition of
Laatikainen Jyrki +3 more
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The Roles of Majorization and Generalized Triangular Decomposition in Communication and Signal Processing [PDF]
, 2011 Signal processing is an art that deals with the representation, transformation, and manipulation of the signals and the information they contain based on their specific features.
Weng, Ching-Chih
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Multi‐view registration based on weighted LRS matrix decomposition of motions
IET Computer Vision, 2019 Recently, the low‐rank and sparse (LRS) matrix decomposition has been introduced as an effective mean to solve the multi‐view registration. It views each available relative motion as a block element to reconstruct one sparse matrix, which then is used to
Congcong Jin +5 more
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Remote Sensing, 2012 A decomposition scheme was applied to ALOS/PALSAR data obtained from a fast-growing tree plantation in Sumatra, Indonesia to extract tree stem information and then estimate the forest stand volume.
Yoshio Yamaguchi +6 more
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Some Combinatorial Results on the Factor Group K (G)
Journal of Kufa for Mathematics and Computer, 2016 character matrix ( ) from the character table of and finding the invariant factors of this matrix, the primary decomposition of the factor group where is determined.
Manal Najy Yagoob, Ahmed Abed Ali Omran
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Improved ALS Online Recommendation Algorithm with Missing Data Modeling [PDF]
Jisuanji gongcheng, 2018 Implicit feedback has data noise and lacks negative feedback.When using matrix decomposition method to train recommendation model,the feature extraction is not clear and the recommendation result is skewed.Aiming at these problems,an improved Alternating
XING Yuying,XIA Hongbin,WANG Han.
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