Abstract: In this article, we propose a maneuvering target tracking algorithm based on the sojourn-time-dependent semi-Markov variable structure interacting multiple model (STDM-VSIMM) filter. Due to ...
Abstract: Accurate translational compensation is crucial for high-resolution inverse synthetic aperture radar imaging. The parameterized optimization methods can directly compensate for the ...
Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...
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