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.

Techniques and apparatus for alias rejection in analog-to-digital converters (ADCs), in which only a portion of the ADC is operated at a higher sampling rate than other portions of the ADC, thereby preventing aliasing, but saving power. One example ADC circuit generally includes a first circuit portion configured to operate at a first clock rate equal to a sampling rate of the ADC circuit; and a second circuit portion configured to operate at a second clock rate higher than the sampling rate of the ADC circuit.

A system includes a central processing unit (CPU) core, and a pulse width modulator (PWM) controller configured to generate a PWM control signal having a PWM cycle. The system also includes an analog-to-digital converter (ADC), an accumulator, a sum register, and an oversampling register set. The oversampling register set is configurable by the CPU core to specify time points during each PWM cycle when the ADC is to convert an analog signal to a digital sample to produce a plurality of digital samples. The time spacing between consecutive digital samples varies among the specified time points. The accumulator accumulates digital samples from the ADC and stores an accumulated sum in the sum register. The CPU core reads the accumulated sum from the sum register, and can use the accumulated sum to calculate a metric (e.g., an average) of the digital samples.

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.

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 method and system for controlling an analog-to-digital converter (ADC) in an observation path in a transceiver. The transceiver includes a transmit path, a receive path, and an observation path. The observation path includes an analog buffer and an observation ADC. A controller generates a control signal to control sampling events at the observation ADC to activate the observation ADC at combined uniform and non-uniform sampling instants. The controller may also generate a second control signal indicating whether digital data obtained by the observation ADC is valid or not. The digital data generated by the observation ADC at non-uniform sampling instants is indicated as invalid and digital data generated by the observation ADC at uniform sampling instants is indicated as valid. The digital data indicated as invalid may be discarded and the digital data indicated as valid is used for calibration of the transmit path or the receive path.

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.

A method of estimating a motor velocity in an electric power steering system that includes a motor is provided. The method generates motor position data by sampling an original motor position signal at an irregular sampling rate. The method estimates a motor velocity by performing a regression analysis on the motor position data.

An analog-to-digital converting device configured to convert an analog signal into a digital signal, including a meta-stability detection unit configured to output a meta-stability signal based on a comparison result, wherein the comparison result is determined by comparing a comparison voltage of each bit of the digital signal with the analog signal; a counter configured to count a number of times that the comparison voltage of each bit of the digital signal is compared with the analog signal; and a control logic configured to detect a bit at which meta-stability has occurred from among bits of the digital signal based on the meta-stability signal and the counted number.