A method of signal processing for handling a digital signal outputted by an analog-to-digital converter includes determining a candidate interval corresponding to each of multiple sampling points in a sampling space of the digital signal, wherein the candidate interval is one of multiple candidate intervals, calculating numbers of sampling points corresponding to each one of the multiple candidate intervals to determine a delegate candidate interval, and calculating a delegate value of the sampling space according to a number of sampling points corresponding to the delegate candidate interval and values of the sampling points corresponding to the delegate candidate interval.

An analog-to-digital converting device includes N-stage first analog-to-digital converters (ADCs), a second ADC, a first calibration circuit, a data recovery circuit and an output circuit. The N-stage first ADCs has a first sampling frequency that is (N+1)/N times of a second sampling frequency, and converts an input signal into first quantized outputs. The second ADC has the second sampling frequency, and converts the input signal into a second quantized output. The first calibration circuit calibrates offsets of the first quantized outputs and the second quantized output to generate third quantized outputs and a fourth quantized output. The data recovery circuit outputs, by the second sampling frequency, one of the third quantized outputs as a fifth quantized output, and subtracts the fifth quantized output from the fourth quantized output to generate output data. The output circuit generates an output signal according to the third quantized outputs and the output data.

An object of the present invention is to efficiently compress a plurality of kinds of data series with different sampling rates. A data compression device has a grouping unit and a compression unit. The grouping unit groups a plurality of kinds of data series with different sampling rates. The compression unit compresses the data series grouped by the grouping unit.

A method for operating an analog-to-digital converter to convert a signal includes calculating a signal parameter in a spectral sub-range of the signal to be converted. The spectral sub-range includes a frequency range of a potential sampling frequency range of the analog-to-digital converter, which does not include frequencies of at least one other sub-range of the sampling frequency range. The method further includes determining a sampling frequency of the analog-to-digital converter by using the signal parameter and operating the analog-to-digital converter using the determined sampling frequency.

A technology capable of sampling sensor signals in a plurality of channels simultaneously is realized. An input unit is capable of inputting sensor signals from a plurality of sensors, and includes an analog-to-digital (AD) conversion unit which is disposed with respect to each of the plurality of sensors and acquires the sensor signal from each of the sensors and converts the sensor signal into a digital signal, and a timing control unit which controls timing at which a plurality of the AD conversion units acquire the sensor signal for each of the AD conversion units according to a sampling period of each of the plurality of sensors.

An array-based Compressed sensing Receiver Architecture (ACRA) includes an antenna array with two or more antennas connected to two or more ADCs that are clocked at two or more different sampling rates below the Nyquist rate of the incident signals. Comparison of the individual aliased outputs of the ADCs allows for estimation of signal component characteristics, including signal bandwidth, center frequency, and direction-of-arrival (DoA). Multiple digital signal processing (DSP) techniques, such as sparse fast Fourier transform (sFFT), can be employed depending on the type of detection or estimation.

A novel non-uniform sampling technique for a burst type signal. The analog signal is digitized with high sampling rate to maintain harmonics at higher frequencies and consequently the integrity of the analog signal. Then by using non-uniform sampling technique the most significant samples are selected for further processing which results in overall cost and power consumption reduction.

A light detection and ranging (lidar) receiver may include a first photodiode, a first amplifier connected to the first photodiode, and a first analog-to-digital converter (ADC) connected to an output of the first amplifier. The lidar receiver may include a second photodiode, a second amplifier connected to the second photodiode, and a second ADC connected to the second amplifier. The lidar may include a processor connected to an output of the first ADC and an output of the second ADC and a direct-current-to-direct-current converter connected to an output of the processor and to the first photodiode and the second photodiode. The processor may determine, based on the output of the first ADC and the output of the second ADC, a first bias to apply to the first photodiode and a second bias to apply to the second photodiode.

This application discloses an implementation of a novel non-uniform sampling technique for a burst type signal. A simple circuit is developed that implements an analog computation of a complex digital calculation to skip the unnecessary samples and choose the optimum next sample. Then the optimum samples are selected for further processing which results in overall cost and power consumption reduction.

A data processing system can include a first IC including one or more A/D converters that receive analog inputs from one or more sensors and generate corresponding digital data, a second IC including one or more processing elements that operate on the digital data, and communication circuitry, coupled between the one or more A/D converters and processing elements, that includes a packetizer on the first IC that receives samples and sample data from the one or more A/D converters and assembles each sample and corresponding sample data into a packet, a primary physical interface on the first IC that communicates the packet to a secondary physical interface on the second IC, and a de-packetizer that on the second IC that receives the packet, de-packetizes it, and delivers the sample and sample data to the one or more processing elements.