Abstract: We address in this paper a method for blind source separation of multi-microphone signals. The multi-microphone is modelled as a nonlinear mapping system, the nonlinear characteristic takes ...
Long-term weather forecasting is a difficult task, partly because weather systems are inherently chaotic. Though mathematical ...
The nonlinear conjugate gradient method is a very useful technique for solving large scale minimization problems and has wide applications in many fields. In this paper, we present a new algorithm of ...
Abstract: This paper studies the nonlinear positioning technology of the capsule robot in the magnetic field, aiming to prove that the nonlinear algorithm has higher calculation accuracy than the ...
A new computing era arrives with the breakthrough in how computers can sort information. This vital function, at the heart of ...
Artificial intelligence models have improved weather forecasting, but their inner workings are largely opaque. A new approach ...
This paper deals with the nonlinear complementarity problem on the product space of unit simplices, S. A simplicial variable dimension algorithm developed by van der Laan and Talman for proper ...
The familiar linear multichannel sea surface temperature algorithms (MCSST) for estimating sea surface temperature with AVHRR satellite data describe the solution in terms of a constant gamma ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback