Results 61 to 70 of about 978,152 (207)
IEEE Access, 2021 Brain tumors are a serious and death-defying disease for human life. Discovering an appropriate brain tumor image from a magnetic resonance imaging (MRI) archive is a challenging job for the radiologist.
K. Venkatachalam +4 more
doaj +1 more source
gammaSTAR: A framework for the development of dynamic, real‐time capable MR sequences
Magnetic Resonance in Medicine, Volume 94, Issue 4, Page 1485-1499, October 2025.Abstract Purpose To present the real‐time capability and advanced MR sequence library of the MR sequence development framework gammaSTAR. Methods The presented platform consists of four different components: (1) a frontend for sequence development combined with a Python backend for sequence generation; (2) a Lua backend for the creation of hardware ...
Simon Konstandin +2 more
wiley +1 more source
Animal Trajectory Imputation and Uncertainty Quantification via Deep Learning
Environmetrics, Volume 36, Issue 6, September 2025.ABSTRACT Imputing missing data in animal trajectories is crucial for understanding animal movements during unobserved periods. However, the traditional methods, such as linear interpolation and the continuous‐time correlated random walk model, are often inadequate to capture the complexity of animal movements.
Kehui Yao +4 more
wiley +1 more source
Root-Hadamard transforms and complementary sequences [PDF]
, 2019 The article of record as published may be found at https://doi.org/10.1007/s12095-020-00440-4In this paper we define a new transform on (generalized) Boolean functions, which generalizes the Walsh-Hadamard, nega-Hadamard, 2k-Hadamard, consta-Hadamard ...
Riera, Constanza +3 more
core +2 more sources
Randomized Orthogonalization Process With Reorthogonalization
Numerical Linear Algebra with Applications, Volume 32, Issue 4, August 2025.ABSTRACT The dimension reduction technique of random sketching is advantageous in significantly reducing computational complexity. In orthogonalization processes like the Gram‐Schmidt (GS) algorithm, incorporating random sketching results in a halving of computational costs compared to the classical/modified Gram‐Schmidt (CGS/MGS) algorithms, while ...
Yongseok Jang, Laura Grigori
wiley +1 more source
Comparison between Different Data Image Compression Techniques Applied on SAR Images
Iraqi Journal of Physics, 2008 In this paper, image compression technique is presented based on the Zonal transform method. The DCT, Walsh, and Hadamard transform techniques are also implements. These different transforms are applied on SAR images using Different block size.
Eanas Y. Al-Tae’e
doaj
Dimensionality Reduction in Full‐Waveform Inversion Uncertainty Analysis
Geophysical Prospecting, Volume 73, Issue 6, July 2025.ABSTRACT The uncertainty of model parameters obtained by full‐waveform inversion can be determined from the Hessian of the least‐squares error functional. A description of uncertainty characterisation is presented that takes the null space of the Hessian into account and does not rely on the Bayesian formulation.
W. A. Mulder, B. N. Kuvshinov
wiley +1 more source
Remarks on numerical approximation of Volterra integral equations by Walsh–Hadamard transform
Results in Applied MathematicsWalsh functions form a piecewise-constant orthonormal basis that is particularly well-suited for digital computation and signal approximation. Nevertheless, the direct evaluation of Walsh transforms for discrete functions becomes computationally ...
Farrukh Mukhamedov +3 more
doaj +1 more source
Sparse graph signals – uncertainty principles and recovery
GAMM-Mitteilungen, Volume 48, Issue 2, June 2025.ABSTRACT We study signals that are sparse either on the vertices of a graph or in the graph spectral domain. Recent results on the algebraic properties of random integer matrices as well as on the boundedness of eigenvectors of random matrices imply two types of support size uncertainty principles for graph signals.
Tarek Emmrich +2 more
wiley +1 more source
, 2004 Space Division Multiple Access (SDMA) aided Orthogonal Frequency Division Multiplexing (OFDM) systems assisted by efficient Multi-User Detection (MUD) techniques have recently attracted intensive research interests. Forward Error Correction (FEC) schemes
Jiang, M., Ng, S. X., Hanzo, L.
core +1 more source