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			ShadowsocksX-NG for Mac		 | 
			
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Work on macOS v10.12+ 		 | 
			
			1.10.2		 | 
			
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			Clarinox Bluetooth® Classic Serial Port Profile (SPP)		 | 
			
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			 The Bluetooth® Serial Port Profile (SPP) of the ClarinoxBlue protocol stack with Bluetooth Classic runs on the Renesas PE-HMI1 Kit to connect and transfer bidirectional data. It uses the Bluetooth SPP Pro app running on an Android smartphone to pair with nearby Bluetooth devices. 		 | 
			
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			Matlab Bluetooth Toolbox User Guide		 | 
			
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			4897119		 | 
			
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			http://pianyifa.cn/index.php/en/training/matlab-bluetooth-toolbox/download/180_6ec1c9b7f83fcd032f3f98f4647497d3		 | 
			
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			Keil MDK523+Crack		 | 
			
			28		 | 
			
			 链接: 提取码:rafa 		 | 
			
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			135		 | 
			
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			https://pan.baidu.com/s/1rWpBOsgc-3CGKGea6DmW8g?pwd=rafa		 | 
			
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			Keil MDK523 and Crack		 | 
			
			29		 | 
			
			 Baudi Pan Withdraw code:rafa 		 | 
			
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			135		 | 
			
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			https://pan.baidu.com/s/1rWpBOsgc-3CGKGea6DmW8g?pwd=rafa		 | 
			
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			Software and Drivers for Intel® Wireless Bluetooth		 | 
			
			42		 | 
			
			 Link  
This page lists all recent versions of Bluetooth® software and drivers that are currently supported for Intel® Wireless Adapters. We recommend updating to the latest version, as it includes functional and security updates. 		 | 
			
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			358		 | 
			
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			https://www.intel.com/content/www/us/en/support/articles/000005489/wireless.html?wapkw=proset		 | 
			
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			室内环境下基于UWB的TDOA/AOA三维混合定位算法		 | 
			
			86		 | 
			
			本文选用超宽带(uwB)技术作为基础,以实现高精度室内人员定位的要求。文中选用IEEE802.15.4a模型作为uwB的信道模型,利用Matlab软件仿真uwB发射及接收信号,通过wylie算法鉴别目标节点与参考节点间的Los和NLos传播,筛选出性能更优的参考节点,更新到达时间差,得到较为准确的初值估计,保证之后的算法收敛。同时推算出可靠度最高的参考节点与目标节点的方位角、俯仰角信息,将其代入基于泰勒级数的TDoA/AoA混合算法后,进行三维定位,最后利用Maclab模拟及分析不同算法三维定位情况。与其他算法相比,优化后的混合算法在各种情况下均表现出了更为良好的定位精度,显示了其应用于室内定位的优势。		 | 
			
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			Three-dimensional TDOA/AOA hybrid localization algorithm based on UWB in indoor environment		 | 
			
			96		 | 
			
			本文选用超宽带 (UWB)技术作为基础,以实现高精度室内人员定位的要求。文中选用IEEE802.15.4a模型作为UWB的信道模型,利用Matlab软件仿真UWB发射及接收信号,通过Wylie算法鉴别目标节点与参考节点间的LOS和NLOS传播,筛选出性能更优的参考节点,更新到达时间差,得到较为准确的初值估计,保证之后的算法收敛。同时推算出可靠度最高的参考节点与目标节点的方位角、俯仰角信息,将其代入基于泰勒级数的TDOA/AOA混合算法后,进行三维定位,最后利用Matlab模拟及分析不同算法三维定位情况。与其他算法相比,优化后的混合算法在各种情况下均表现出了更为良好的定位精度,显示了其应用于室内定位的优势。		 | 
			
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