Diverse applications in particle physics experiments and emerging technologies such as Lidar are driving performance increase and cost reduction in giga-hertz sampling-rate high-resolution data conversion. In applications such as these, critical aspects of the data may occur only during relatively short nanosecond portions of observation periods lasting microseconds. Data acquisition architectures that key in on regions of the data containing activity, digitize the data, and provide info to accurately measure the position of the data in time relative to a time reference are described. These architectures may facilitate system implementation and reduce overall system cost.

A method for differentiator-based compression of digital data includes (a) multiplying a tap-weight vector by an original data vector to generate a predicted signal, the original data vector comprising N sequential samples of an original signal, N being an integer greater than or equal to one, (b) using a subtraction module, subtracting the predicted signal from a sample of the original signal to obtain an error signal, (c) using a quantization module, quantizing the error signal to obtain a quantized error signal, and (d) updating the tap-weight vector according to changing statistical properties of the original signal.

An analog-to-digital converter for converting a pixel signal generated from sensed light into a digital signal includes a comparator configured to compare the pixel signal with a ramp signal having a constant slope to generate a comparison signal; a delay circuit configured to generate a first signal corresponding to the comparison signal, the delay circuit including a plurality of delay elements configured to generate a second signal by delaying the first signal by a first time period; and a compensator circuit configured to measure a period of the comparison signal to output a delay select signal to the delay circuit based on the measured period, the delay select signal delaying the first signal by the first time period, wherein the first time period is obtained by dividing the period of the comparison signal.

An analog-to-digital converter for converting a pixel signal generated from sensed light into a digital signal includes a comparator configured to compare the pixel signal with a ramp signal having a constant slope to generate a comparison signal; a delay circuit configured to generate a first signal corresponding to the comparison signal, the delay circuit including a plurality of delay elements configured to generate a second signal by delaying the first signal by a first time period; and a compensator circuit configured to measure a period of the comparison signal to output a delay select signal to the delay circuit based on the measured period, the delay select signal delaying the first signal by the first time period, wherein the first time period is obtained by dividing the period of the comparison signal.

An analog-to-digital (A/D) conversion system includes a track-and-hold circuit, a comparison circuit, a control circuit, a digital-to-analog (D/A) conversion circuit, a switched buffer and a loop filter. The track-and-hold circuit is configured to output a first signal based on an input signal or a first timing signal. The comparison circuit is configured to generate a comparison result based on the first signal and a filtered residue signal. The control circuit is coupled to the comparison circuit, and is configured to generate an N-bit logical signal according to N comparison results from the comparison circuit. The D/A circuit is configured to generate a feedback signal based on the N-bit logical signal. The switched buffer is configured to generate a first error signal based on a second timing signal and a second error signal. The loop filter is configured to generate the filtered residue signal based on the first error signal.

An analog-to-digital (A/D) conversion system includes a track-and-hold circuit, a digital-to-analog (D/A) conversion circuit, a comparison circuit and a control circuit. The track-and-hold circuit is configured to output a first signal based on an input signal. The D/A conversion circuit is configured to generate a second signal based on an N-bit logical signal. The comparison circuit is configured to generate a comparison result based on the first signal and the second signal. The control circuit is configured to generate the N-bit logical signal according to N comparison results from the comparison circuit.

The invention relates to a method for analog-to-digital conversion of an analog input signal, which is at least essentially continuous and which has a useful signal that is superimposed with at least two interference signals having different frequencies, into a digital output signal, wherein the input signal is sampled in a limited measuring cycle, and wherein the number and points in time of multiple sampling points within the measuring cycle are determined as a function of a frequency of the input signal. It is provided that the sampling points (are determined as a function of the frequencies of the interference signals.

Diverse applications in particle physics experiments and emerging technologies such as Lidar are driving performance increase and cost reduction in giga-hertz sampling-rate high-resolution data conversion. In applications such as these, critical aspects of the data may occur only during relatively short nanosecond portions of observation periods lasting microseconds. Data acquisition architectures that key in on regions of the data containing activity, digitize the data, and provide info to accurately measure the position of the data in time relative to a time reference are described. These architectures may facilitate system implementation and reduce overall system cost.

A method for differentiator-based compression of digital data includes (a) using a subtraction module, subtracting a predicted signal from a sample of an original signal to obtain an error signal, (b) using a quantization module, quantizing the error signal to obtain a quantized error signal, and (c) generating the predicted signal using a least means square (LMS)-based filtering method.

Diverse applications in particle physics experiments and emerging technologies such as Lidar are driving performance increase and cost reduction in giga-hertz sampling-rate high-resolution data conversion. In applications such as these, critical aspects of the data may occur only during relatively short nanosecond portions of observation periods lasting microseconds. Data acquisition architectures that key in on regions of the data containing activity, digitize the data, and provide info to accurately measure the position of the data in time relative to a time reference are described. These architectures may facilitate system implementation and reduce overall system cost.