An apparatus for dynamic range enhancement (DRE) which receives an input signal and provides a DRE output signal is presented. The apparatus has an error correction circuit to apply an error correction factor to the input signal such that the DRE output signal provided by the apparatus is dependent on the input signal and the error correction factor. The error correction factor is representative of an error generated by the apparatus.

A battery-operated device comprises: a first battery cell having a voltage; a second battery cell having a voltage; a first anti-aliasing filter operable to be coupled to the first battery cell; a second anti-aliasing filter operable to be coupled to the second battery cell; an analog-to-digital converter operable to be coupled to the first anti-aliasing filter during a first period of time or the second anti-aliasing filter during a second period of time different than the first period of time; and wherein the second anti-aliasing filter is charged during the first period of time and the first anti-aliasing filter is charged during the second period of time.

An analog-to-digital converter (ADC) includes a modulator configured to oversample an input signal generated from an output signal of a transducer; and a filter configured to perform a decimation operation on an output from the modulator and a frequency characteristics correction operation according to a filter control signal on the output from the modulator, wherein the frequency characteristics correction operation is performed to complement a frequency characteristics of the output signal of the transducer such that overall frequency characteristics of the transducer and the filter be flat in a signal band.

A digital filter and a method for filtering a pulse density modulation (PDM) signal are presented. The digital filter has a first filter circuit to receive an input signal with input values at successive time steps to provide a filtered input signal with filtered values at successive time steps. The digital filter does not require sample-rate or data format conversions. Also, the digital filter is area and power efficient when implemented in hardware. Optionally, the digital filter has a sigma-delta modulator including the quantiser, the sigma-delta modulator being used to receive the filtered input signal and to process the filtered input signal before and/or after being quantised by the quantiser. This digital filter does not require sample-rate or data format conversions. This digital filter is area and power efficient when implemented in hardware.

According to an exemplary embodiment, a capacitively coupled continuous-time delta-sigma modulator includes an instrumentation amplifier amplifying an input voltage to an output voltage of a predetermined magnitude, a delta-sigma modulator outputting a bit signal quantized depending on a sampling frequency based on the output voltage and to convert the bit signal into a digital-to-analog conversion voltage, and a ripple reduction loop unit generating a demodulation voltage, in which a ripple is removed from the output voltage, depending on an RRL operating frequency to feed the demodulation voltage back to the instrumentation amplifier. The RRL operating frequency is equal to the sampling frequency.

A modulator includes an input circuit having a sampling capacitor, an integration circuit, a quantizer and a D/A converter having a DAC capacitor. The input circuit takes in an analog input voltage in the sampling capacitor in a sampling period, and transfers a charge to the integration circuit in a holding period. The D/A converter takes in an analog potential, to which selection switches are connected in the sampling period based on a digital output of the quantizer, in the DAC capacitor, and subtracts a charge from the integration circuit in the holding period. At this time, since the input circuit and the D/A converter are set so that the holding periods do not overlap with each other, an error caused by the lowering of a feedback factor is suppressed.

Method and apparatus for nonlinear signal processing include mitigation of outlier noise in the process of analog-to-digital conversion and adaptive real-time signal conditioning, processing, analysis, quantification, comparison, and control. Methods, processes and apparatus for real-time measuring and analysis of variables include statistical analysis and generic measurement systems and processes which are not specially adapted for any specific variables, or to one particular environment. Methods and corresponding apparatus for mitigation of electromagnetic interference, for improving properties of electronic devices, and for improving and/or enabling coexistence of a plurality of electronic devices include post-processing analysis of measured variables and post-processing statistical analysis. Methods, processes and apparatus for secure communications include low-power communications and physical-layer steganography.

A feedback divider in a mixed-signal circuit is modulated by a frequency control word controlling a delta-sigma modulator. An accumulated quantization error from the delta-sigma modulator is compared to a residual error in the circuit by a Least-Mean Square (LMS) correlator for gain calibration to adjust for linear errors. Upper bits of the accumulated quantization error access a lookup table to find two outputs of the compensation function that are interpolated between using lower bits of the accumulated quantization error. The interpolated result is an adjustment subtracted from the loop to compensate for non-linear errors. A set of orthogonal kernels is generated from the accumulated quantization error and calibrated using another LMS correlator and inverse transformed to generate updates to the non-linear compensation function in the lookup table. The kernels can be Walsh Hadamard (WH) and the inverse transformer an inverse WH transformer.

An electronic circuit includes an analog to digital converter (ADC) and a noise coupling filter. The ADC generates a digital output signal based on a first analog signal and a second analog signal. The noise coupling filter generates the second analog signal to be fed back for an input to the ADC, based on a first quantization error signal associated with converting the first analog signal to the digital output signal. The noise coupling filter performs noise shaping on a digital error signal derived from the quantization error signal and generates the second analog signal from a result of the noise shaping, using a clock in the digital domain.

A feedback divider in a mixed-signal circuit is modulated by a frequency control word controlling a delta-sigma modulator. An accumulated quantization error from the delta-sigma modulator is compared to a residual error in the circuit by a Least-Mean Square (LMS) correlator for gain calibration to adjust for linear errors. Upper bits of the accumulated quantization error access a lookup table to find two outputs of the compensation function that are interpolated between using lower bits of the accumulated quantization error. The interpolated result is an adjustment subtracted from the loop to compensate for non-linear errors. A set of orthogonal kernels is generated from the accumulated quantization error and calibrated using another LMS correlator and inverse transformed to generate updates to the non-linear compensation function in the lookup table. The kernels can be Walsh Hadamard (WH) and the inverse transformer an inverse WH transformer.