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Chapter_10_Example_9
- 智能天线在室内定位的应用，DOA估计算法-Smart antenna in indoor positioning applications, the DOA estimation algorithm
shadow3
- 提出了一种室内静止摄像机条件下的运动目标检测和阴影抑制方法。该方法采用一种自适应的背景估计方法来实时更新 背景,用基于概率分类法检测运动目标,并在联合HMMD色彩空间和光度特征来抑制阴影之后,用Sobel边缘检测来修正运动目 标。实验结果表明,该方法能够有效地检测运动目标和抑制阴影。 -An indoor stationary camera under the conditions of moving target detection and shadow suppression m
IndoorlocationTrackingUsingRSSIReadingsfromasingle
- 通过单一的Wi-Fi接入点的信号强度来判断移动物体的位置。比较新的一篇文章。用了蒙特卡罗抽样的办法－Monte Carlo Sampling Method－来估计位置。-This paper describes research towards a system for locating wireless nodes in a home environment requiring merely a single access point. The only sensor reading
DOAmatlab
- 利用复声强实现室内声源的DOA估计，添加噪声和混响进行仿真测试-Indoor sound source DOA estimation by using the complex sound intensity, adding noise and reverberation simulation test of indoor sound source DOA estimation by using the complex sound intensity, and adding noise and r
1
- 室内可见光通信系统信道模型，用于室内可见光通信系统基础信道估计仿真实验(Channel Model of Indoor Visible Communication System for Basic Channel Estimation of Indoor Visible Communication System)
modulation
- 基于PARATUCK2-ALS的中继转发式室内可见光通信系统信道估计(Channel Estimation of Relay-and-Forward Indoor Visible Communication System Based on PARATUCK2-ALS)
last
- 噪声补偿张量模式的中继转发式室内可见光通信系统信道估计(Channel Estimation of Relay-and-Forward Indoor Visible Communication System with Noise Compensation Tensor Mode)