gammaSTAR: A framework for the development of dynamic, real‐time capable MR sequences
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
Image scrambler based on novel 4-D hyperchaotic system and magic square with fast Walsh–Hadamard transform [PDF]
A novel 4-D hyperchaotic system that have seven positive parameters in third order with thirteen terms is proposed, in this paper, the proposed chaotic behavior is proved by analysis of the Lyapunov's exponent, fractional dimension, zero-one test ...
Hussein Ali Ismael +5 more
core +1 more source
Animal Trajectory Imputation and Uncertainty Quantification via Deep Learning
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
Applications of Sparse Signal Recovery: 2D-Pattern Matching and Sparse Walsh-Hadamard Transform Computation [PDF]
We study two problems related to sparse signal recovery. The first problem considered is querying a sub-image of size square of M in a large image database of size square of N to determine all the locations where sub-image appears.
Gao, Jiahui
core +1 more source
Universal Joint Maximum Likelihood Frame Synchronization and PLS Decoding for DVB-S2X Systems
Compared to DVB-S2, DVB-S2X features a more intricate signaling structure. These signaling fields are employed not only in standard frames but are also frequently utilized within superframe structures.
Xin-Qi Liao, Yih-Min Chen
doaj +1 more source
Randomized Orthogonalization Process With Reorthogonalization
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
An Efficient Joint Frame and Physical Layer Signaling Code Detection Method for DVB-S2
The Digital Video Broadcasting–Satellite Second Generation (DVB-S2) standard enhances coding and modulation techniques beyond those of DVB-S.
Xin-Qi Liao, Yih-Min Chen
doaj +1 more source
Sketched and Truncated Polynomial Krylov Methods: Evaluation of Matrix Functions
ABSTRACT Among randomized numerical linear algebra strategies, so‐called sketching procedures are emerging as effective reduction means to accelerate the computation of Krylov subspace methods for, for example, the solution of linear systems, eigenvalue computations, and the approximation of matrix functions.
Davide Palitta +2 more
wiley +1 more source
Trotterless Simulation of Open Quantum Systems for NISQ Quantum Devices
Open quantum systems exhibit complex dynamics that can be simulated on quantum computers to provide physical insights into their behavior. This work proposes a new method for simulating these systems that reduces the effect of noise and errors on modern quantum hardware.
Colin Burdine, Enrique P. Blair
wiley +1 more source
Winner Update on Walsh-Hadamard Domain for Fast Motion Estimation
[[abstract]]Motion estimation (ME) plays an important role in video compression. Block-based ME has been adopted in most video compression standards due to its efficiency.
Shou-Der Wei +2 more
core +1 more source

