Method and device for optical convolution
OwnerMohammad Ali Miri, Kevin Dagoberto Zelaya Mendozainventors
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Abstract
A photonic circuit comprises a first waveguide lattice having a first length for providing a discrete fractional Fourier transform operation on the input optical signal; a programmable modular array of tunable phase shifters for providing the fractional Fourier transform of the kernel and performing a point-wise product on the previously transformed input optical signal; a second wavelength lattice having a second length for providing an inverse discrete fractional Fourier transform operation on the previous processed optical signal; and a processor that determines a convolved output of the input signal and the convolution kernel.
Claims18
A photonic circuit, comprising:
- a first waveguide lattice having a first length for providing a discrete fractional Fourier transform operation on the input optical signal;
- a programmable modular array of tunable phase shifters for providing the fractional Fourier transform of the kernel and performing a point-wise product on the previously transformed input optical signal;
- a second wavelength lattice having a second length for providing an inverse discrete fractional Fourier transform operation on the previous processed optical signal;
- a processor that determines a convolved output of the input signal and the convolution kernel.
A lens-free device for performing discrete fractional Fourier transformation (DFrFT), the lens-free device comprising a first waveguide array with a length of {tilde over (k)}π/2, that is optically connected to a programmable array of Mach-Zehnder interferometers (MZI), each MZI having two 50:50 couplers and two programmable phase shifters, each MZI interferometer optically connected to a second waveguide array with a length of 3{tilde over (k)}π/2.
A method, comprising:
- receiving an input signal at a first input of a system;
- receiving a convolution kernel at a second input of the system;
- producing a discrete fractional Fourier transformation of at least one of the convolution kernel and the input signal;
- and
- generating a convolved output at an output of the system.
Dependencies are inferred from the claim text.