Microwave signal filtering is a fundamental and central functionality in radio-frequency (RF)
systems. Underpinned by advanced integrated photonics technologies, emerging integrated …

Brillouin scattering is an important and interesting nonlinear effect involving the interaction
between optical and acoustic fields in optical waveguides. It is increasingly useful in the field …

Mitigating the stochastic noise introduced during the generation, transmission, and detection
of temporal optical waveforms remains a significant challenge across many applications …

The ever-increasing demand for data rates by mobile users can be fulfilled by radio over
fiber (RoF) combined with spectrally-efficient modulation techniques. Thus, RoF is critical to …

Recurrent neural networks (RNNs) can process contextual information such as time series
signals and language. But their tracking of internal states is a limiting factor, motivating …

Signal processing using on-chip nonlinear or linear optical effects has shown tremendous
potential for RF photonic applications. Combining nonlinear and linear elements on the …

With the rapid development of microwave photonic functionalities to support 5G and defence
systems, there has been an increased interest in employing stimulated Brillouin scattering …

Decimation is a common process in digital signal processing that involves reducing the
sampling rate of an oversampled signal by linearly combining consecutive samples. Among …

Linear frequency modulation (LFM) signals are widely used in modern radar systems owing
to their intrinsic pulse compression capability but are restricted due to a limited range …

Noise is one of the rare aspects of experimental work that crosses all boundaries. It is
present from scientific fields like ultrafast optical signal detection to applied fields such as …