Abstract: This application provides example signal processing apparatus and example signal processing method. One example signal processing apparatus includes a sampling unit, a beam combiner, and an optical resonator. The sampling unit is connected to the beam combiner, and the beam combiner is connected to the optical resonator. The sampling unit is configured to sample an analog signal by using an optical pulse signal to output a sampled optical pulse signal. The beam combiner is configured to combine the sampled optical pulse signal and a multi-wavelength optical signal into a first optical signal. The optical resonator is configured to perform resonance based on the first optical signal to output a second optical signal in the first optical signal, where a wavelength of the second optical signal is equal to a resonant wavelength of the optical resonator.

Abstract: This application provides example signal processing apparatus and example signal processing method. One example signal processing apparatus includes a sampling unit, a beam combiner, and an optical resonator. The sampling unit is connected to the beam combiner, and the beam combiner is connected to the optical resonator. The sampling unit is configured to sample an analog signal by using an optical pulse signal to output a sampled optical pulse signal. The beam combiner is configured to combine the sampled optical pulse signal and a multi-wavelength optical signal into a first optical signal. The optical resonator is configured to perform resonance based on the first optical signal to output a second optical signal in the first optical signal, where a wavelength of the second optical signal is equal to a resonant wavelength of the optical resonator.

Abstract: An apparatus for optical processing of a signal includes an optical sampler, an optical neural network and a phase shift controller. The optical sampler obtains parallel optical samples by sampling a continuous optical signal. The optical neural network optically processes the parallel optical samples and provides a final output optical signal resulting from the processing. The optical neural network includes interconnected optical neurons. Each of the optical neurons inputs multiple optical signals and outputs an optical signal which is a weighted sum of the input optical signals. The weightings are established by phase-shifting the input optical signals prior to the summation. The phase shift controller controls the phase-shifting so as to obtain required weightings for the input optical signals.