Lua is a powerful, light-weight programming language designed for extending applications. It is also frequently used as a general-purpose, stand-alone language. It combines simple procedural syntax (similar to Pascal) with powerful data description constructs based on associative arrays and extensible semantics. Lua is dynamically typed, interpreted from bytecodes, and has automatic memory management with garbage collection, making it ideal for configuration, scripting, and rapid prototyping.
標簽： applications light-weight programming extending
上傳時間： 2016-01-13
上傳用戶：1101055045
Swarm intelligence algorithms are based on natural behaviors. Particle swarm optimization (PSO) is a stochastic search and optimization tool. Changes in the PSO parameters, namely the inertia weight and the cognitive and social acceleration constants, affect the performance of the search process. This paper presents a novel method to dynamically change the values of these parameters during the search. Adaptive critic design (ACD) has been applied for dynamically changing the values of the PSO parameters.
標簽： intelligence optimization algorithms behaviors
上傳時間： 2014-01-08
上傳用戶：lgnf
Device pins that are not connected to a specific peripheral function are controlled by the GPIO registers. Pins may be dynamically configured as inputs or outputs. Separate registers allow setting or clearing any number of outputs simu 中文
標簽： controlled peripheral are connected
上傳時間： 2014-01-16
上傳用戶：lijinchuan
Lua is a powerful, fast, lightweight, embeddable scripting language. Lua combines simple procedural syntax with powerful data description constructs based on associative arrays and extensible semantics. Lua is dynamically typed, runs by interpreting bytecode for a register-based virtual machine, and has automatic memory management with incremental garbage collection, making it ideal for configuration, scripting, and rapid prototyping.
標簽： lightweight embeddable Lua scripting
上傳時間： 2014-01-13
上傳用戶：從此走出陰霾
A fourier filter for time-series signals. Does not require the Signal Processing Toolbox. There is an interactive version with sliders that allow you to adjust the filter parameters continuously while observing the effect on your signal dynamically.
標簽： time-series Processing fourier Toolbox
上傳時間： 2013-12-19
上傳用戶：change0329
Interactive smoothing for time-series signals, with sliders that allow you to adjust the smoothing parameters continuously while observing the effect on your signal dynamically. Run SmoothSliderTest to see how it works.
標簽： smoothing Interactive time-series signals
上傳時間： 2014-12-07
上傳用戶：xinyuzhiqiwuwu
According to the statistics of the Federal Communications Commission (FCC), temporal and geographical variations in the utilization of the as- signed spectrum range from 15% to 85%. The limited available radio spec- trum and the inefficiency in spectrum usage necessitate a new commu- nication paradigm to exploit the existing spectrum dynamically.
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
Notwithstanding its infancy, wireless mesh networking (WMN) is a hot and growing field. Wireless mesh networks began in the military, but have since become of great interest for commercial use in the last decade, both in local area networks and metropolitan area networks. The attractiveness of mesh networks comes from their ability to interconnect either mobile or fixed devices with radio interfaces, to share information dynamically, or simply to extend range through multi-hopping.
上傳時間： 2020-05-31
上傳用戶：shancjb
Notwithstanding its infancy, wireless mesh networking (WMN) is a hot and growing field. Wireless mesh networks began in the military, but have since become of great interest for commercial use in the last decade, both in local area networks and metropolitan area networks. The attractiveness of mesh networks comes from their ability to interconnect either mobile or fixed devices with radio interfaces, to share information dynamically, or simply to extend range through multi-hopping.
標簽： Multi-hop Networks WiMAX WiFi Mesh LTE and
上傳時間： 2020-06-01
上傳用戶：shancjb
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