Abstract: Analog image processing systems and methods are provided. The systems are configured to convert a pixel output signal to a time pulse without analog to digital signal conversion. Pixel output voltage is sampled and the pixel voltage is applied to a capacitor. A comparator configured to sense the pixel voltage on the capacitor as the capacitor is discharged generates output time pulses. The output time pulse is proportional to the pixel voltage and may be processed by an all-analog neural network to perform functions such as object detection, object classification, image quality enhancement and always-on image processing with low power consumption.

Abstract: Analog image processing systems and methods are provided. The systems are configured to convert a pixel output signal to a time pulse without analog to digital signal conversion. Pixel output voltage is sampled and the pixel voltage is applied to a capacitor. A comparator configured to sense the pixel voltage on the capacitor as the capacitor is discharged generates output time pulses. The output time pulse is proportional to the pixel voltage and may be processed by an all-analog neural network to perform functions such as object detection, object classification, image quality enhancement and always-on image processing with low power consumption.

Abstract: An all-analog natural language processing system is provided. Analog audio input is processed directly by an all-analog signal pathway wherein the audio activity detection, voice activity detection, feature extraction and neural network processing are all performed in the analog domain. Audio/voice detection and feature extraction is performed by a bandpass filter bank having a plurality of individual bandpass filters. Each bandpass filter includes an array of individual capacitively coupled current conveyor second order sections having a charge-trap transistor as a programmable element for tuning the passband of the filter. Compared to typical digital systems for natural language processing, the present all-analog system can perform natural language processing with comparable accuracy but greatly reduced energy consumption of up to two orders of magnitude less.

Abstract: Analog image processing systems and methods are provided. The systems are configured to convert a pixel output signal to a time pulse without analog to digital signal conversion. Pixel output voltage is sampled and the pixel voltage is applied to a capacitor. A comparator configured to sense the pixel voltage on the capacitor as the capacitor is discharged generates output time pulses. The output time pulse is proportional to the pixel voltage and may be processed by an all-analog neural network to perform functions such as object detection, object classification, image quality enhancement and always-on image processing with low power consumption.

Abstract: An all-analog natural language processing system is provided. Analog audio input is processed directly by an all-analog signal pathway wherein the audio activity detection, voice activity detection, feature extraction and neural network processing are all performed in the analog domain. Audio/voice detection and feature extraction is performed by a bandpass filter bank having a plurality of individual bandpass filters. Each bandpass filter includes an array of individual capacitively coupled current conveyor second order sections having a charge-trap transistor as a programmable element for tuning the passband of the filter. Compared to typical digital systems for natural language processing, the present all-analog system can perform natural language processing with comparable accuracy but greatly reduced energy consumption of up to two orders of magnitude less.