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…
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…
On-Chip Self-Referenced Micro-Resonators Enhanced by Digital Optical Frequenc…
An on-chip self-referenced transducer assisted by digital optical frequency comb (DOFC) technology is presented for the biomolecules detection in the lower detecting limit. This self-referenced str…
Error-Controlled Iterative Algorithms for Digital Linearization of IMDD-Based…
In intensity-modulation and direct-detection (IMDD) single-mode fibre (SMF) transmission systems, the nonlinear operation of square-law detection causes signal-signal beating interference (SSBI) th…
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…
Wavelength-Tunable Monolithically Integrated Chaotic Semiconductor Laser
Chaos wavelength division multiplexing is a key technology to solve incompatibility between chaos secure communication and large capacity fiber data transmission. However, the existing integrated c…
Integration Time and Time-Bin Width in Ranging Histograms for a Photon-Counti…
High-performance light detection and ranging (LiDAR) modules are highly demanded for advanced driving assistance system and autonomous driving. With CMOS-fabricated single-photon avalanche diodes (…
Primal-Dual First-Order Methods for Affinely Constrained Multi-block Saddle P…
We consider the convex-concave saddle point problem , where the decision variables and/or are subject to certain multi-block structure and affine coupling constraints, and possesses certain separa…
Meta-Wrapper : Differentiable Wrapping Operator for User Interest Selection i…
Click-through rate (CTR) prediction, whose goal is to predict the probability of the user to click on an item, has become increasingly significant in the recommender systems. Recently, some deep le…
Learning With Multiclass AUC : Theory and Algorithms
The Area under the ROC curve (AUC) is a well-known ranking metric for problems such as imbalanced learning and recommender systems. The vast majority of existing AUC-optimization-based machine lear…
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