The molecular weight and structure of polysaccharide from Lentinus edodes cell wall( Lwp) were measured by the high performance liquid chromatography(HPLC),gas chromatography(GC) and chemistry analysis in this study. The results showed that Lwp was composed of glucose with few mannose,and molecular ...
Introduction to Adaptive Arrays 作者:Robert A·Monzingo/Randy L·Haupt/[美] Thomas W·Miller 页数:530 ISBN:9781891121579 豆瓣评分 目前无人评价 评价: 写笔记 写书评 加入购书单 分享到 推荐 我要写书评 Introduction to Adaptive Arrays的书评 ···(全部 0 条)...
Summary This introductory chapter outlines the purpose of the book: to present a thorough and extensive treatment of phased arrays, adding to and updating the array portions of Microwave Scanning Antennas (MSA) . The scope of the book is all types of arrays except adaptive. Multiple-beam arrays...
This chapter gives an introduction to generic liquid crystals. First of all, the basic concept of liquid crystals is explained. Some well-known examples of liquid crystals are given to familiarize readers with first hand impression. Next, the history of
In the commit ("ice: update dim usage and moderation")[https://patchwork.kernel.org/project/netdevbpf/patch/20211019183027.2820413-3-anthony.l.nguyen@intel.com/], dim introduces unreliable latency in ICE NIC. To fix this problem, the rx/tx profile arrays are modified based on Intel ICE sp...
Although we rely on binocular cues to experience depth in our 3-D world, we can also perceive depth in 2-D arrays. Think about all the paintings and photographs you have seen. Generally, you pick up on depth in these images even though the visual stimulus is 2-D. When we do this, ...
Learn programming and computer science fundamentals using ChucK, to create music, sound design, and audio programs.
This survey is intended to inform non-expert readers about the field of recommender systems, particularly collaborative filtering, through the lens of the
This video shows how adjusting the gain and phase unevenly to each element in an array provides a lot more flexibility in shaping what that beam looks like and opens up the possibility of adaptive beamforming.
When using PyTorch, you load data into memory in NumPy arrays and then convert the arrays to PyTorch Tensor objects. You can loosely think of a Tensor as a sophisticated array that can be handled by a GPU processor. There are several ways to load data into a NumPy array. Among...