Invention Grant
- Patent Title: Analog-to-digital converter using a pipelined memristive neural network
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Application No.: US17116144Application Date: 2020-12-09
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Publication No.: US11431347B2Publication Date: 2022-08-30
- Inventor: Loai Danial , Shahar Kvatinsky
- Applicant: TECHNION RESEARCH & DEVELOPMENT FOUNDATION LIMITED
- Applicant Address: IL Haifa
- Assignee: TECHNION RESEARCH & DEVELOPMENT FOUNDATION LIMITED
- Current Assignee: TECHNION RESEARCH & DEVELOPMENT FOUNDATION LIMITED
- Current Assignee Address: IL Haifa
- Agency: The Roy Gross Law Firm, LLC
- Agent Roy Gross
- Main IPC: H03M1/18
- IPC: H03M1/18 ; H03M1/26 ; G06N3/063 ; G06K9/62 ; G06N3/04 ; H03M1/44

Abstract:
A pipelined ADC system comprising: a first ADC stage comprising a trainable neural network layer and configured to receive an analog input signal, and convert it into a first n-bit digital output representing said analog input signal; a DAC circuit comprising a trainable neural network layer and configured to receive said first n-bit digital output, and convert it into an analog output signal representing said first n-bit digital output; and a second ADC stage comprising a trainable neural network layer and configured to receive a residue analog input signal of said analog input signal, and convert it into a second n-bit digital output representing said residue analog input signal; wherein said first and second n-bit digital outputs are combined to generate a combined digital output representing said analog input signal.
Public/Granted literature
- US20210175893A1 ANALOG-TO-DIGITAL CONVERTER USING A PIPELINED MEMRISTIVE NEURAL NETWORK Public/Granted day:2021-06-10
Information query
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