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ASK function, this is a block that has three input and one output. the input are the two carrier that have different amplitute, and the digital signal representing the information or data to be modulated.
標簽： input the function carrier
上傳時間： 2014-12-20
上傳用戶：Shaikh
樣板 B 樹 ( B - tree ) 規則 : (1) 每個節點內元素個數在 [MIN,2*MIN] 之間, 但根節點元素個數為 [1,2*MIN] (2) 節點內元素由小排到大, 元素不重複 (3) 每個節點內的指標個數為元素個數加一 (4) 第 i 個指標所指向的子節點內的所有元素值皆小於父節點的第 i 個元素 (5) B 樹內的所有末端節點深度一樣
上傳時間： 2017-05-14
上傳用戶：日光微瀾
歐幾里德算法：輾轉求余 原理: gcd(a,b)=gcd(b,a mod b) 當b為0時,兩數的最大公約數即為a getchar()會接受前一個scanf的回車符
上傳時間： 2014-01-10
上傳用戶：2467478207
Filo Serial-Input to Paralle-output
標簽： Paralle-output Serial-Input Filo to
上傳時間： 2014-01-16
上傳用戶：evil
This is sofe input and soft output programme you can use. Matlab is the similation tool.
標簽： similation programme Matlab output
上傳時間： 2017-06-21
上傳用戶：lgnf
數據結構課程設計 數據結構B+樹 B+ tree Library
上傳時間： 2013-12-31
上傳用戶：semi1981
Multiple-Input Multiple-Output (MIMO) systems have recently been the subject of intensive consideration in modem wireless communications as they offer the potential of providing high capacity, thus unleashing a wide range of applications in the wireless domain. The main feature of MIMO systems is the use of space-time processing and Space-Time Codes (STCs). Among a variety of STCs, orthogonal Space-Time Block Codes (STBCs) have a much simpler decoding method, compared to other STCs
標簽： Orthogonal Space-Time Processing Complex
上傳時間： 2020-05-26
上傳用戶：shancjb
Multiuser multiple-input-multiple-output (MU- MIMO) systems are known to be hindered by dimensionality loss due to channel state information (CSI) acquisition overhead. In this paper, we investigate user-scheduling in MU-MIMO systems on account of CSI acquisition overhead, where a base station dynamically acquires user channels to avoid choking the system with CSI overhead.
標簽： Acquisition Dynamic Channel
上傳時間： 2020-05-27
上傳用戶：shancjb
To meet the future demand for huge traffic volume of wireless data service, the research on the fifth generation (5G) mobile communication systems has been undertaken in recent years. It is expected that the spectral and energy efficiencies in 5G mobile communication systems should be ten-fold higher than the ones in the fourth generation (4G) mobile communication systems. Therefore, it is important to further exploit the potential of spatial multiplexing of multiple antennas. In the last twenty years, multiple-input multiple-output (MIMO) antenna techniques have been considered as the key techniques to increase the capacity of wireless communication systems. When a large-scale antenna array (which is also called massive MIMO) is equipped in a base-station, or a large number of distributed antennas (which is also called large-scale distributed MIMO) are deployed, the spectral and energy efficiencies can be further improved by using spatial domain multiple access. This paper provides an overview of massive MIMO and large-scale distributed MIMO systems, including spectral efficiency analysis, channel state information (CSI) acquisition, wireless transmission technology, and resource allocation.
標簽： Large-scale Antenna Systems
上傳時間： 2020-05-27
上傳用戶：shancjb
In order to improve the spectral efficiency in wireless communications, multiple antennas are employed at both transmitter and receiver sides, where the resulting system is referred to as the multiple-input multiple-output (MIMO) system. In MIMO systems, it is usually requiredto detect signals jointly as multiple signals are transmitted through multiple signal paths between the transmitter and the receiver. This joint detection becomes the MIMO detection.
標簽： Complexity Detection MIMO Low
上傳時間： 2020-05-27
上傳用戶：shancjb
