A method is provided for improving the EMC robustness of Integrated Capacitive Sensor systems with a sensor Signal-Conditioner (SSC). The SSC is connected with a capacitive integrating converter to convert a received signal into a bit stream. An oscillator provides a plurality of sampling frequencies. A counter connected with the capacitive integrating converter collects the bit stream and calculates the digital representative of the physical input which is than stored in an output register. The method includes performing some conversions with different sampling frequencies from the oscillator or a frequency divider by the capacitive integrating Signal-Converter; storing the results of the samplings and using the results in the following cycle to calculate for each sampling frequency a difference to the prior sampling of the same frequency; and calculating the digital representative of the input signal from the external sensing capacitor as the reverse weighted average of the samplings of the different frequencies.

Disclosed are a training method for a learning model for recognizing an acoustic signal, a method of recognizing an acoustic signal using the learning model, and devices for performing the methods. The method of recognizing an acoustic signal using a learning model includes identifying an acoustic signal including an acoustic event or acoustic scene, determining an acoustic feature of the acoustic signal, dividing the determined acoustic feature for each of a plurality of frequency band intervals, and determining the acoustic event or acoustic scene included in the acoustic signal by inputting the divided acoustic features to a trained learning model.

Disclosed are a training method for a learning model for recognizing an acoustic signal, a method of recognizing an acoustic signal using the learning model, and devices for performing the methods. The method of recognizing an acoustic signal using a learning model includes identifying an acoustic signal including an acoustic event or acoustic scene, determining an acoustic feature of the acoustic signal, dividing the determined acoustic feature for each of a plurality of frequency band intervals, and determining the acoustic event or acoustic scene included in the acoustic signal by inputting the divided acoustic features to a trained learning model.

A system for converting a voltage into output codes includes logic gates for processing delay signals based on earlier and later arriving signals generated by preamplifiers, delay comparators for generating digital signals representative of most significant bits of respective codes, and for transmitting delay residue signals representative of less significant bits of the codes, and an auxiliary delay comparator for generating an auxiliary digital signal for use in generating the output codes. A system may include logic gates for generating delay signals based on earlier and later arriving signals, delay comparators for generating digital signals representative of most significant bits of respective codes, and for transmitting delay residue signals representative of less significant bits, and a multiplexer system for transmitting a selected one of the residue signals.

A voltage-controlled oscillator analog-to-digital converter (VCO-ADC) includes a first source follower coupled between a first input terminal and a first internal node; a first VCO having an input coupled to a second internal node; a first variable resistor coupled between the first internal node and the second internal node; and a digital signal processing component coupled between an output of the first VCO and a output terminal.

An amplifier includes an input circuit configured to receive an analog input signal and a feedback signal, and output an analog error signal based on the analog input signal and the feedback signal. An ADC is configured to convert the analog error signal into a digital signal in a phase domain. A digital control circuit is configured to generate a digital control signal based on the digital signal in the phase domain. An output circuit is configured to generate an amplified output signal based on the digital control signal, and a feedback circuit is configured generate the feedback signal based on the amplified output signal.

The present disclosure relates to an electronic device. An analog-digital converter includes an input voltage provider configured to output the input voltage during a plurality of stages, a comparator configured to output a comparison result between the input voltage and one of a plurality of comparison reference voltages, a successive approximation register configured to output at least one bit among the plurality of bits of digital data based on the comparison result, and a digital-analog converter configured to provide the comparator with one comparison reference voltage among the plurality of the comparison reference voltages based on the at least one bit, wherein the digital-analog converter includes a plurality of transistors that are coupled in parallel with each other, the digital-analog converter configured to selectively receive a plurality of reference voltages to generate the one comparison reference voltage.

Embodiments of the present disclosure relate to various methods and example systems for carrying out analog-to-digital conversion of data acquired by arrays of nanogap sensors. The nanogap sensors described herein may operate as molecular sensors to help identify chemical species through electrical measurements using at least a pair of electrodes separated by a nanogap. In general, the methods and systems proposed herein rely on digitizing the signal as the signal is being integrated, and then integrating the digitized results. With such methods, the higher sample rate used in the digitizer reduces the charge per quantization and, therefore, the size of sampling capacitors used. Consequently, sampling capacitors may be made factors of magnitude smaller, requiring less valuable space on a chip compared to sampling capacitors used in conventional nanogap sensor arrays.

A controlled oscillator Analog-to-Digital Converter (ADC) includes an analog interface configured for receiving an analog differential input signal, and configured for providing a differential control signal; first and second controlled oscillators configured for receiving the differential control signal; and a frequency-to-digital converter having a first input coupled to an output of the first controlled oscillator, a second input coupled to an output of the second controlled oscillator, and an output for providing a digital output signal proportional to the analog differential input signal, wherein the analog interface or at least one of the first and second controlled oscillators is configured for receiving at least one disturb signal to prevent locking between the first and second controlled oscillators.

Devices, methods for analog-to-digital converters (ADCs) that perform high-dynamic range measurements based on optical techniques are disclosed. In one example aspect, an optical encoder includes a polarization rotator configured to receive a train of optical pulses, and an electro-optic (EO) modulator coupled to an output of the polarization rotator. The EO modulator is configured to receive a radio frequency (RF) signal and to produce a phase modulated signal in accordance with the RF signal. The optical encoder also includes a polarizing beam splitter coupled to the output of the EO modulator; and an optical hybrid configured to receive two optical signals from the polarizing beam splitter and to produce four optical outputs that are each phase shifted with respect to one another.