遺傳算法CUse time of day to feed the random number generator seed
標(biāo)簽： generator number random CUse
上傳時(shí)間： 2013-12-02
上傳用戶：Divine
save time and to show how it can be used in acad
上傳時(shí)間： 2017-09-27
上傳用戶：大三三
Transition-Time Optimization for Switched-Mode Dynamical Systems
標(biāo)簽： Transition-Time Switched-Mode Optimization Dynamical
上傳時(shí)間： 2017-09-28
上傳用戶：xinyuzhiqiwuwu
Robust stability for time-delay systems
標(biāo)簽： Robust stability time-delay systems
上傳時(shí)間： 2015-02-15
上傳用戶：594428403
RTX-51 Real-Time翻譯, RTX-51 Real-Time翻譯 RTX-51 Real-Time翻譯, RTX-51 Real-Time翻譯 RTX-51 Real-Time翻譯, RTX-51 Real-Time翻譯 RTX-51 Real-Time翻譯, RTX-51 Real-Time翻譯 RTX-51 Real-Time翻譯, RTX-51 Real-Time翻譯 RTX-51 Real-Time翻譯, RTX-51 Real-Time翻譯
標(biāo)簽： RTX-51
上傳時(shí)間： 2015-06-16
上傳用戶：fatemeh
bios cmos time read and set-use borlandc
標(biāo)簽： bios cmos time read and set
上傳時(shí)間： 2017-05-04
上傳用戶：david10274
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(biāo)簽： Orthogonal Space-Time Processing Complex
上傳時(shí)間： 2020-05-26
上傳用戶：shancjb
The book you’re holding, physically or electronically, is the result of a very interesting, challenging but also rewarding research project. The research was carried out in different contexts and cooperations but it was centered around the following question: how can we make the RF transmitters of our modern com- munication systems (WiFi, GSM, LTE, and so on) more flexible and more efficient at the same time.
標(biāo)簽： Continuous-Time Front-Ends Digital
上傳時(shí)間： 2020-05-27
上傳用戶：shancjb
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
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