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应用稀疏信号重组法来进行的传感器阵列声源定位。是MIT的Dmitry M. Malioutov的博士毕业论文。-A Sparse Signal Reconstruction Perspective
for Source Localization with Sensor Arrays_by
Dmitry M. Malioutov
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Range Free Localization in Wireless Sensor Network
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无线传感器网络 基于功率自适应的目标定位 采用粒子滤波算法-Power wireless sensor networks based on adaptive particle filter used target tracking
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H:\无线传感器节点的定位算法\APIT算法-H: \ wireless sensor node localization algorithm \ APIT algorithm
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无线传感网,数据的传送与接收,三点定位算法的实现-Wireless sensor network, node localization algorithms
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Monitoring applications define an important
class of applications used in wireless sensor networks.
In these applications the network perceives
the environment and searches for event
occurrences (phenomena) by sensing different
physical pro
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Our final project for the course consists of a wearable device to provide aid for the visually impaired. An ultrasonic distance sensor located on a hat collects data of the surrounding environment scanning the area ahead of the user, and uses this da
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paers related to wireless sensor networks localization
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