This package is mostly about doing numerical calculations and plotting for discrete-time signal processing analysis, modeling and simulation. I started to write it in January 2025 as an experiment to ...
The spatial positioning of magnetic resonance imaging (MRI) images is determined by generating a linearly varying gradient magnetic field through a gradient coil, which plays a pivotal role in the ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...
Computational Brain Science Lab, Division of Computational Science and Technology, KTH Royal Institute of Technology, Stockholm, Sweden This paper presents an analysis of properties of two hybrid ...
Abstract: The reliability function of a channel is the maximum achievable exponential rate of decay of the error probability as a function of the transmission rate ...
Quadratic functions are essential in the world of mathematics and have a wide range of applications in various fields, such as physics, engineering, and finance. An inverse function can be thought of ...
Impact Statement: Invertible neural networks possess unique advantages over other generative models due to their full reversibility and minimal information loss. This article introduces an invertible ...
ABSTRACT: For limited distortion source coding, it is generally considered that the minimum value of the coding average distortion is 0, and the maximum value is the minimum distortion value of making ...
ABSTRACT: A stochastic SIR epidemic dynamic model with distributed-time-delay, for a two-scale dynamic population is derived. The distributed time delay is the varying naturally acquired immunity ...
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