Analog-to-digital converter using a pipelined memristive neural network

A pipelined analog-to-digital converter (ADC) system comprising:

• a first ADC stage comprising a trainable neural network layer, wherein said first ADC stage is configured to (i) receive an analog input signal, and (ii) convert it into a first n-bit digital output representing said analog input signal;
• a digital-to-analog converter (DAC) circuit comprising a trainable neural network layer, wherein said DAC circuit is configured to (iii) receive said first n-bit digital output, and (iv) 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, wherein said second ADC stage is configured to (v) receive a residue analog input signal of said analog input signal, and (vi) 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.