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…
Photonic Sub-Terahertz IM Links : Comparison Between Double and Single Carrie…
Two different modulation schemes have been employed in photonic sub-THz systems to transmit intensity modulated signals: the dual-carrier (D-C) and single-carrier (S-C) schemes. Although it has bee…
Degradation Prediction of Semiconductor Lasers Using Conditional Variational …
Semiconductor lasers have been rapidly evolving to meet the demands of next-generation optical networks. This imposes much more stringent requirements on the laser reliability, which are dominated …
Parametric Amplification and Wavelength Conversion in Dual-Core Highly Nonlin…
In this paper we experimentally show parametric amplification and wavelength conversion in a custom manufactured dual-core highly nonlinear fiber. On-off gain > 10 dB and conversion efficiencies be…
Modeling the Background for Incremental and Weakly-Supervised Semantic Segmen…
Deep neural networks have enabled major progresses in semantic segmentation. However, even the most advanced neural architectures suffer from important limitations. First, they are vulnerable to ca…
Switchable Dual-Band Binary and Single-Band Quaternary Phase-Coded Microwave …
A switchable dual-band binary and single-band quaternary phase-coded microwave signal generator based on a single dual-polarization dual-drive Mach–Zehnder modulator (DP-DDMZM) is proposed. Two r…
GAN Compression: Efficient Architectures for Interactive Conditional GANs
Conditional Generative Adversarial Networks (cGANs) have enabled controllable image synthesis for many vision and graphics applications. However, recent cGANs are 1-2 orders of magnitude more compu…
A Techno-Economic Study of Spectrum Sharing with Blockchain and Smart Contracts
The wireless crunch resulted in excess demand for the use of spectrum, and spectrum sharing is increasingly being proposed as a solution. To date, little research has considered how block-chain tec…
Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Emb…
The heterogeneity in recently published knowledge graph embedding models’ implementations, training, and evaluation has made fair and thorough comparisons difficult. To assess the reproducibility…
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