Results 61 to 70 of about 252,925 (275)

Dynamic Channelized Subband Detection Algorithm Based on Double Characteristic Ratio [PDF]

Hangkong bingqi
In the dynamic digital channelized reception architecture， subband detection provides positional information to the synthesis filter bank for signal reconstruction.
Cao Ruilong, Si Weijian, Han Shunli, Zhou You
doaj   +1 more source

On a frame theoretic measure of quality of LTI systems

, 2017
It is of practical significance to define the notion of a measure of quality of a control system, i.e., a quantitative extension of the classical notion of controllability.
Chatterjee, Debasish, Sheriff, Mohammed Rayyan   +1 more
core   +1 more source

Unraveling the Molecular Mechanisms Underlying Spontaneous Multipolar Mitosis Through CIN‐seq

Advanced Science, EarlyView.
Multipolar mitosis, a hallmark of chromosomal instability (CIN), drives tumor heterogeneity but is challenging to study in live cells. Using CIN‐seq, a single‐cell multiomics method, we profiled rare CIN events and identified mechanisms associated with viable multipolar mitosis, including PTEN attenuation, Rho GTPase‐driven cytokinesis failure, and ...
Pin‐Rui Su, Ting‐Chun Chou, Maria Teresa López‐Cascales, Junfeng Huang, Tsai‐Ying Chen, Sjoukje van Wieren, Chan Li, Cecile Beerens, Li You, Jelle Storteboom, Miao‐Ping Chien   +10 more
wiley   +1 more source

Existence of a principal eigenvalue for the Tricomi problem

Electronic Journal of Differential Equations, 2000
The existence of a principal eigenvalue is established for the Tricomi problem in normal domains; that is, the existence of a positive eigenvalue of minimum modulus with an associated positive eigenfunction.
Daniela Lupo, Kevin R. Payne
doaj  

Frequency and power estimation of sinusoids using eigen-approach [PDF]

MATEC Web of Conferences, 2019
Frequency and power estimation of sinusoidal signals, has captured the attention of researchers due to its important applications. This paper involves a frequency and power estimation method of unidentified number of source sinusoidal signals using Eigen
Mismar M.J., Elissa F.B.
doaj   +1 more source

Minimum Eigenvalue Detection for Spectrum Sensing in Cognitive Radio

International Journal of Electrical and Computer Engineering (IJECE), 2014
Spectrum sensing is a key task for cognitive radio. Our motivation is to increase the probability of detection for spectrum sensing in cognitive radio. In this paper, we proposed a new semi blind method which is based on minimum Eigenvalue of a covariance matrix. The ratio of the minimum eigenvalue to noise power is used as the test statistic.
Syed Sajjad Ali, Chang Liu, Minglu Jin
openaire   +1 more source

Structural Eigenmodes of the Brain to Improve the Source Localization of EEG: Application to Epileptiform Activity

Advanced Science, EarlyView.
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu, Philippa J. Karoly, Sina Mansour L., Artemio Soto‐Breceda, Levin Kuhlmann, Mark J. Cook, David B. Grayden   +6 more
wiley   +1 more source

An innovative algorithm for estimating the minimum eigenvalue of M-matrices

Journal of Inequalities and Applications
For a general M-matrix, we construct a specialized matrix to derive monotonically increasing lower bounds and monotonically decreasing upper bounds for its minimum eigenvalue.
Qin Zhong, Ling Li, Gufang Mou
doaj   +1 more source

Computing the Minimum Eigenvalue of a Symmetric Positive Definite Toeplitz Matrix [PDF]

SIAM Journal on Scientific and Statistical Computing, 1986
Der vorgeschlagene Algorithmus zur Berechnung des kleinsten Eigenwertes einer reellen, symmetrischen und positiv definiten Toeplitz-Matrix T der Ordnung n basiert auf einer speziellen rationalen Funktion f(\(\lambda)\), deren Nullstellen Eigenwerte der gegebenen Matrix sind.
Cybenko, George, van Loan, Charles F.
openaire   +2 more sources

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

Advanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio, Tommaso Gili, Andrea Gabrielli, Maurizio Mattia   +3 more
wiley   +1 more source