Foschini & Mirjanic algorithm in constrained Power control(CPC) for mobile networks
標(biāo)簽： constrained algorithm Foschini Mirjanic
上傳時(shí)間： 2017-09-07
上傳用戶：lps11188
this modified PSO algorithm can solve for constrained optimization problem
標(biāo)簽： optimization constrained algorithm modified
上傳時(shí)間： 2017-09-12
上傳用戶：nanshan
This sample displays a basic integer calculator powered by the 8051 microcontroller. Although Keil C51 has a full floating point math library the evaluation version is restricted to 2k of object code, so we have constrained this sample to integer maths in order to fit within this limit. The program for this design was written in C using the Keil uVision 2 IDE for which Proteus VSM provides a Debug Monitor driver. Instructions for configuring Proteus to run in conjunction with the Keil environment can be found by editing the 8051 microcontroller on the schematic (point at it and press CTRL-E) and then clicking on the help button on the Edit Component dialogue form.
標(biāo)簽： microcontroller calculator Although displays
上傳時(shí)間： 2014-12-01
上傳用戶：edisonfather
Beamforming thesis describing Study of a various Beamforming Techniques And Implementation of the constrained Least Mean Squares (LMS) algorithm for Beamforming
標(biāo)簽： Beamforming Implementation describing Techniques
上傳時(shí)間： 2013-12-25
上傳用戶：wuyuying
the book provides many solved examples that illustrate the principles involved, and includes, in addition, two chapters that deal exclusively with applications of unconstrained and constrained optimization methods to problems in the areas of pattern recognition, control systems, robotics, communication systems, and the design of digital filters. For each application, enough background information is provided to promote the understanding of the optimization algorithms used to obtain the desired solutions.
標(biāo)簽： illustrate principles the provides
上傳時(shí)間： 2014-01-20
上傳用戶：woshiayin
In the next generation of wireless communication systems, there will be a need for the rapid deployment of independent mobile users. Significant examples include establishing survivable, efficient, dynamic communication for emergency operations, disaster relief efforts, and military networks. Such network scenarios cannot rely on centralized and organized connectivity, and can be conceived as applications of mobile ad hoc networks. A MANET is an autonomous collection of mobile users that communicate over relatively bandwidth constrained wireless links. Since the nodes are mobile, the network topology may change rapidly and unpredictably over time. The network is decentralized, where all network activity including discovering the
標(biāo)簽： communication generation the wireless
上傳時(shí)間： 2014-01-07
上傳用戶：cuibaigao
In the next generation of wireless communication systems, there will be a need for the rapid deployment of independent mobile users. Significant examples include establishing survivable, efficient, dynamic communication for emergency operations, disaster relief efforts, and military networks. Such network scenarios cannot rely on centralized and organized connectivity, and can be conceived as applications of mobile ad hoc networks. A MANET is an autonomous collection of mobile users that communicate over relatively bandwidth constrained wireless links. Since the nodes are decentralized, where all network activity including discovering the
標(biāo)簽： communication generation the wireless
上傳時(shí)間： 2014-01-04
上傳用戶：tedo811
Over the past ten years there has been a revolution in the devel- opment and acceptance of mobile products. In that period, cel- lular telephony and consumer electronics have moved from the realm of science fiction to everyday reality. Much of that revolu- tion is unremarkable – we use wireless, in its broadest sense, for TV remote controls, car keyfobs, travel tickets and credit card transactions every day. At the same time, we have increased the number of mobile devices that we carry around with us. However, in many cases the design and function of these and other static products are still constrained by the wired connections that they use to transfer and share data.
標(biāo)簽： Short-Range Essentials Wireless of
上傳時(shí)間： 2020-05-27
上傳用戶：shancjb
Although state of the art in many typical machine learning tasks, deep learning algorithmsareverycostly interms ofenergyconsumption,duetotheirlargeamount of required computations and huge model sizes. Because of this, deep learning applications on battery-constrained wearables have only been possible through wireless connections with a resourceful cloud. This setup has several drawbacks. First, there are privacy concerns. Cloud computing requires users to share their raw data—images, video, locations, speech—with a remote system. Most users are not willing to do this. Second, the cloud-setup requires users to be connected all the time, which is unfeasible given current cellular coverage. Furthermore, real-time applications require low latency connections, which cannot be guaranteed using the current communication infrastructure. Finally, wireless connections are very inefficient—requiringtoo much energyper transferredbit for real-time data transfer on energy-constrained platforms.
標(biāo)簽： Embedded_Deep_Learning Algorithms
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
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