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Skip to Search Results- 3Quantization
- 1Fault-Tolerant Filtering
- 1Filter Design
- 1Indoor localization
- 1Model Compression
- 1Networked Control Systems
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Spring 2024
We bridge the localization techniques that are based on proximity (near/far) information with those based on Received Signal Strength Indication (RSSI) information. An RSSI-based scheme can be mapped to proximity-based scheme by quantizing the RSSI values such they are represented by a single...
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Mixed Low-bit Quantization for Model Compression with Layer Importance and Gradient Estimations
DownloadSpring 2022
Deep neural networks (DNNs) have been widely used in the modern world in recent years. However, due to the substantial memory consumption and high computational power use of DNNs, deploying them on devices with limited resources is challenging. Model compression methods can provide us with a...
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Fall 2014
In this thesis, we study the problem of robust filtering under network-induced errors. Our intention is to design a robust filter that provides stable estimates of the plant states when the plant model is uncertain, the states are disturbed with an unknown input, and the measurements are...