Driven by the desire to boost the quality of service of wireless systems closer to that afforded by wireline systems, space-time processing for multiple-input multiple-output (MIMO) wireless communications research has drawn remarkable interest in recent years. Excit- ing theoretical advances, complemented by rapid transition of research results to industry products and services, have created a vibrant and growing area that is already established by all counts. This offers a good opportunity to reflect on key developments in the area during the past decade and also outline emerging trends.
標(biāo)簽： Space-Time Processing
上傳時(shí)間： 2020-06-01
上傳用戶：shancjb
In this thesis several asp ects of space-time pro cessing and equalization for wire- less communications are treated. We discuss several di?erent metho ds of improv- ing estimates of space-time channels, such as temp oral parametrization, spatial parametrization, reduced rank channel estimation, b o otstrap channel estimation, and joint estimation of an FIR channel and an AR noise mo del. In wireless commu- nication the signal is often sub ject to intersymb ol interference as well as interfer- ence from other users.
標(biāo)簽： Communications Space-Time Processing Wireless for
上傳時(shí)間： 2020-06-01
上傳用戶：shancjb
Wireless communications has become a field of enormous scientific and economic interest. Recent success stories include 2G and 3G cellular voice and data services (e.g., GSM and UMTS), wireless local area networks (WiFi/IEEE 802.11x), wireless broadband access (WiMAX/IEEE 802.16x), and digital broadcast systems (DVB, DAB, DRM). On the physical layer side, traditional designs typically assume that the radio channel remains constant for the duration of a data block. However, researchers and system designers are increasingly shifting their attention to channels that may vary within a block. In addition to time dispersion caused by multipath propagation, these rapidly time-varying channels feature frequency dispersion resulting from the Doppler effect. They are, thus, often referred to as being “doubly dispersive.”
標(biāo)簽： Time-Varying Channels
上傳時(shí)間： 2020-06-01
上傳用戶：shancjb
Star Trek_ Deep Space Nine - A Stitch in Time - Andrew J. Robinson 英文版 格式 epub
標(biāo)簽： Stitch Space Star Deep Nine Trek Time in
上傳時(shí)間： 2021-06-17
上傳用戶：potato
該文檔為python的time模塊使用簡(jiǎn)介文檔，是一份很不錯(cuò)的參考資料，具有較高參考價(jià)值，感興趣的可以下載看看………………
標(biāo)簽： python
上傳時(shí)間： 2021-11-14
上傳用戶：
客戶使用STM32F091的USART工作于smartcard模式用于7816通訊，發(fā)現(xiàn)不正常。本篇LAT的內(nèi)容簡(jiǎn)介了STM32F0中關(guān)于USART中Smartcard模式的Guard Time的設(shè)置。
標(biāo)簽： stm32
上傳時(shí)間： 2022-02-22
上傳用戶：d1997wayne
TI的技術(shù)白皮書(shū)Time-of-Flight Camera – An Introduction對(duì)雙目視覺(jué)，TOF，結(jié)構(gòu)光進(jìn)行了對(duì)比和介紹
上傳時(shí)間： 2022-08-10
上傳用戶：
ST提供的技術(shù)資料Time of Flight: Principles, Challenges,and Performance
標(biāo)簽： tof
上傳時(shí)間： 2022-08-10
上傳用戶：
此強(qiáng)而有力的工具將會(huì)增加網(wǎng)站聯(lián)機(jī)速度。它最佳化了操作系統(tǒng)的設(shè)定及連結(jié)。Amplify修改了MTU(Maximum Transmission Unit)、RWIN(Receive Window)，TTL(Time to Live)、PMTU's(Path Maximum Transmission Unit)。這些改改將的減少數(shù)據(jù)處理的分割次數(shù)，可以將資料快速的呈現(xiàn)在使用者面前。
標(biāo)簽：
上傳時(shí)間： 2013-06-29
上傳用戶：eeworm
Quartus-13.1.0.162-window
上傳時(shí)間： 2013-07-09
上傳用戶：eeworm
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