–吃
发表于 2025-3-28 14:35:19
An Automatic Evaluation Method for Modal Logic Combination Formula,ce rules of compound formulas in the world hinders its application in practical systems.This paper presents an automatic evaluation algorithm of modal logic compound formula based on Haskell functional programming to solve the problem of evaluating modal logic compound formula in the possible world.
JUST
发表于 2025-3-28 19:59:57
Research on CS-Based Channel Estimation Algorithm for UWB Communications,nel reconstruction based on the sparsity. Based on the subspace tracking sparse reconstruction algorithm, an adaptive sparsity subspace tracking (ASSP) algorithm is proposed. The algorithm obtains sparsity according to the principle of minimum residua, accurately estimates the ultra-wideband channel
DEMN
发表于 2025-3-29 00:52:12
A New Unambiguous Acquisition Algorithm for BOC(n, n) Signals,s paper proposes a new fuzzy-free capture algorithm for BOC(n, n) signals. Divide the local BOC signal into two branch signals. Then, correlating the tributary signal with the received BOC signal, and the correlation function is then shifted by a quarter and three quarters of the chip, respectively,
卜闻
发表于 2025-3-29 05:10:37
http://reply.papertrans.cn/17/1623/162271/162271_44.png
取之不竭
发表于 2025-3-29 10:32:22
http://reply.papertrans.cn/17/1623/162271/162271_45.png
Atrium
发表于 2025-3-29 12:22:37
http://reply.papertrans.cn/17/1623/162271/162271_46.png
越自我
发表于 2025-3-29 15:53:58
http://reply.papertrans.cn/17/1623/162271/162271_47.png
happiness
发表于 2025-3-29 20:25:54
http://reply.papertrans.cn/17/1623/162271/162271_48.png
热情的我
发表于 2025-3-30 02:22:05
Track Related Bursty Topics in Weibo,tric and the related bursty topics can be tracked. The experimental results show that the method can effectively segment the time series of Weibo topics, and realize the discovery and tracking of related topics in Weibo.
asthma
发表于 2025-3-30 07:29:12
Terrain Classification Algorithm for Lunar Rover Based on Visual Convolutional Neural Network,better path, avoiding the unnecessary trouble caused by the delay of the land-month communication. The overall accuracy of our classification is 80%, and some of them have higher precision. It is expected that the classification results will help the decision of path planning.