The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
As one of the most promising linearization techniques, adaptive Digital Predistortion (PD) has been widely utilized in modern wireless communication systems for improving the efficiency of Power Amplifier (PA). In view of the non-stationary signal environment for the wideband PAs, an efficient indirect learning adaptive PD is proposed in the paper based on the Memory Polynomial Model (MPM). The coefficients...
Adaptive digital predistortion (DPD) is one of the most promising linearization technique, which leads to more efficient and cost-effective high power amplifier (HPA). In this paper, we propose a novel adaptive DPD based on the hybrid indirect learning (HIL) algorithm, which can not only remedy the effect caused by measurement noise in the feedback loop effectively, but also improve the convergence...
According to the theory of constraints (TOC), bottleneck should be made full use while non-bottleneck should be subordinate to the bottleneck. However, for the multi-bottleneck permutation flow-shop scheduling problem (PFSP), different bottleneck causes different driving force resulting in different even conflicted scheduling solution. Aiming at this problem, the multi-objective mathematical model...
This paper has presented a particle swarm optimization (PSO) based approach to handle a multi-objective integrated process planning and scheduling problem. The aim is to find a set of high-quality trade-off solutions. This is a combinatorial optimization problem with substantially large solution space, suggesting that it is highly difficult to find the best solutions with the exact search method....
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.