Compact Multi-Tone Microwave Photonic Frequency Measurement Based on a Single…
We propose a microwave photonic frequency measurement scheme based a dual-polarization dual-drive Mach-Zehnder modulator (DP-DDMZM) and frequency -to-time mapping. A compact frequency measurement s…
Underwater Acoustic Wave Detection Based on Packaged Optical Microbubble Reso…
We demonstrate an optical underwater acoustic sensor with high sensitivity and broad bandwidth (10 Hz to 100 kHz), based on the packaged optical microbubble whispering gallery mode resonator, for t…
Real-Time Definite Sequence Modulation Based Spectral Broadening Scheme for H…
High-power narrow-linewidth continuous fiber lasers have wide applications in the fields of power synthesis, nonlinear frequency conversion, and industrial processing. The output power of kW or eve…
Bi-Directional Self-Homodyne Transmission With MIMO-Free DSP for Next-Generat…
We propose and demonstrate bi-directional (BiDi) self-homodyne coherent detection (SHCD) system experimentally, in which the multiple input multiple output free (MIMO-free) digital signal processin…
Photonic Generation of a Tunable Dual-Chirp Microwave Waveform
A photonic-assisted tunable dual-chirp microwave waveform generator based on optical heterodyne detection is proposed and experimentally demonstrated. In the proposed scheme, a three-electrode dist…
SOLO : A Simple Framework for Instance Segmentation
Compared to many other dense prediction tasks, e.g., semantic segmentation, it is the arbitrary number of instances that has made instance segmentation much more challenging. In order to predict a …
Algorithmic Transparency with Strategic Users
Should firms that apply machine learning algorithms in their decision making make their algorithms transparent to the users they affect? Despite the growing calls for algorithmic transparency, most…
Guided Event Filtering : Synergy Between Intensity Images and Neuromorphic Ev…
Many visual and robotics tasks in real-world scenarios rely on robust handling of high speed motion and high dynamic range (HDR) with effectively high spatial resolution and low noise. Such stringe…
Dynamic Neural Networks : A Survey
Dynamic neural network is an emerging research topic in deep learning. Compared to static models which have fixed computational graphs and parameters at the inference stage, dynamic networks can ad…
A Novel Estimation Method in Generalized Single Index Models
The single index and generalized single index models have been demonstrated to be a powerful tool for studying nonlinear interaction effects of variables in the low-dimensional case. In this articl…
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