Abstract: Disclosed embodiments provide glitch prediction based on machine learning algorithms in mixed analog and digital systems, particularly directed to digital microelectromechanical (MEMS) multipath acoustic sensors or microphones, which allow seamless, low latency gain changes without audible artifacts or interruptions in the audio output signal.

Abstract: Disclosed embodiments provide a self-contained topology that enables a significant noise reduction of capacitive sensor readout interfaces. For example, various embodiments can provide low noise capacitive sensor readout interfaces or analog front ends having a main buffer amplifier in a bootstrap configuration, wherein a bootstrap loop configuration comprises a negative capacitance coupled to an input of the main buffer amplifier with a negative impedance converter.

Abstract: Disclosed embodiments provide glitch prediction based on machine learning algorithms in mixed analog and digital systems, particularly directed to digital microelectromechanical (MEMS) multipath acoustic sensors or microphones, which allow seamless, low latency gain changes without audible artifacts or interruptions in the audio output signal.

Abstract: Disclosed embodiments provide flexible performance, high dynamic range, microelectromechanical (MEMS) multipath digital microphones, which allow seamless, low latency transitions between audio signal paths without audible artifacts over interruptions in the audio output signal. Disclosed embodiments facilitate performance and power saving mode transitions maintaining high dynamic range capability.

Abstract: Disclosed embodiments provide flexible performance, high dynamic range, microelectromechanical (MEMS) multipath digital microphones, which allow seamless, low latency transitions between audio signal paths without audible artifacts over interruptions in the audio output signal. Disclosed embodiments facilitate performance and power saving mode transitions maintaining high dynamic range capability.

Abstract: A method of monitoring electrical loads is disclosed. In an embodiment the method includes generating a first voltage signal and a second voltage signal, the second voltage signal in quadrature to the first voltage signal, injecting one of the first voltage signal or the second voltage signal into a signal propagation path towards an electrical load, sensing a current signal flowing through the electrical load as a result of the one of the first voltage signal or the second voltage signal injected into the signal propagation path and processing the first voltage signal, the second voltage signal and the sensed current signal.

Abstract: A method of monitoring electrical loads is disclosed. In an embodiment the method includes generating a first voltage signal and a second voltage signal, the second voltage signal in quadrature to the first voltage signal, injecting one of the first voltage signal or the second voltage signal into a signal propagation path towards an electrical load, sensing a current signal flowing through the electrical load as a result of the one of the first voltage signal or the second voltage signal injected into the signal propagation path and processing the first voltage signal, the second voltage signal and the sensed current signal.

Abstract: The present disclosure is directed to a method and system for compensating mismatches among sub-converters in a time interleaved analog digital converter structure. A digital finite impulse response (FIR) equalization filtering unit is coupled to outputs of the sub-converters. The FIR filtering unit includes a digital FIR filter dedicated to each sub-converter. The FIR filtering coefficient is adapted specifically for each sub-converter to achieve a compensation for sub-converter mismatches and inter-symbol interference (ISI) equalization.

Abstract: An acousto-optic (AO) device includes an AO crystal having a plurality of faces including a first face and a second face. An input transducer bonded to the first face (top electrode) for receiving a radio frequency (RF) signal and launching bulk acoustic waves (BAWs) configured to interact with an optical beam propagating in the AO crystal, wherein the BAWs are received at least in part by the second face after interacting with the optical beam. The second face has a roughened surface portion over an area of at least (?) 50% of an area of the top electrode, and a root mean square (rms) surface roughness?1 ?m and a surface profile derivable from a Fourier transform which provides at least one a first spatial frequency peak from 1 cycle/mm to 300 cycles/mm or at least one band of spatial frequency peaks from 1 cycle/mm to 300 cycles/mm.

Abstract: An acousto-optic (AO) device includes an AO crystal having a plurality of faces including a first face and a second face. An input transducer bonded to the first face (top electrode) for receiving a radio frequency (RF) signal and launching bulk acoustic waves (BAWs) configured to interact with an optical beam propagating in the AO crystal, wherein the BAWs are received at least in part by the second face after interacting with the optical beam. The second face has a roughened surface portion over an area of at least (?) 50% of an area of the top electrode, and a root mean square (rms) surface roughness ?1 ?m and a surface profile derivable from a Fourier transform which provides at least one a first spatial frequency peak from 1 cycle/mm to 300 cycles/mm or at least one band of spatial frequency peaks from 1 cycle/mm to 300 cycles/mm.

Abstract: A method for identifying a corrupted received signal that includes symbols is described. Each symbol may have a value of a Galois field associated therewith. The receiver may be configured to store a logarithm of normalized probability mass functions and corresponding Galois field values for each of the symbols. The normalized probability mass functions may be normalized with respect to a greatest probability mass function of a given symbol. The method may include comparing, for each symbol, a logarithm of normalized probability of an n-th best probability value with a respective threshold, counting a number of the logarithms that exceed the respective threshold and generating, for each symbol, a score corresponding to the number. The method may also include calculating a moving average of the scores, and comparing the moving average with an output threshold and flagging a just received symbol as corrupted based upon the comparison.

Abstract: A method is for generating, for each check node related to a parity check equation of a LDPC code, signals representing a first output table of corrected values of symbols of a word received through a communication channel and transmitted according to the LDPC code, and signals representing a second output table of the logarithm of the ratio between the respective probability of correctness of the values of same coordinates in the first output table and their corresponding maximum probability of correctness. The method is implemented by processing the components of a first input table of values of a Galois Field of symbols that may have been transmitted and of a second input table of corresponding probability of correctness of each value.

Abstract: A method is provided. The method comprises calibrating noise prediction parameters by adapting one or more biases, adapting one or more filter coefficients using the adapted one or more biases, and adapting one or more prediction error variances using the adapted one or more biases and the adapted one or more filter coefficients.

Abstract: A method for identifying a corrupted received signal at a receiver is described. A received signal may include symbols. Each symbol may have a value of a Galois field associated therewith. The receiver may be configured to store a logarithm of normalized probability mass functions and corresponding Galois field values for each of the plurality of symbols. The normalized probability mass functions may be normalized with respect to a greatest probability mass function of a given symbol of the plurality of symbols. The method may include comparing, for each of the plurality of symbols, a logarithm of normalized probability of an n-th best probability value with a respective threshold, counting a number of the logarithms that exceed the respective threshold and generating, for each of the plurality of symbols, a score corresponding to the number.

Abstract: A method is for generating, for each check node related to a parity check equation of a LDPC code, signals representing a first output table of corrected values of symbols of a word received through a communication channel and transmitted according to the LDPC code, and signals representing a second output table of the logarithm of the ratio between the respective probability of correctness of the values of same coordinates in the first output table and their corresponding maximum probability of correctness. The method is implemented by processing the components of a first input table of values of a Galois Field of symbols that may have been transmitted and of a second input table of corresponding probability of correctness of each value.

Abstract: A method is provided. The method comprises calibrating noise prediction parameters by adapting one or more biases, adapting one or more filter coefficients using the adapted one or more biases, and adapting one or more prediction error variances using the adapted one or more biases and the adapted one or more filter coefficients.

Abstract: A calibration method and system for reducing modulation errors in a telecommunication transmitter apparatus includes providing a pair of test signals, which are substantially in quadrature to each other, and to repeat an estimation loop. The estimation loop starts with generating a modulated signal by modulating the test signals (the modulation introducing a modulation error) and continues by obtaining a squared signal corresponding to the square of the modulated signal. A transformed signal corresponding to the squared signal in the frequency domain is then calculated. The estimation loop further includes calculating an error indicator, indicative of the modulation error, according to the modulus of the transformed signal. A compensation, to be applied to the test signals for counterbalancing the modulation error, is calculated according to the error indicator and is then applied to the test signals.

Abstract: Low density parity check (LDPC) codes (LDPCCs) have an identical code blocklength and different code rates. At least one of the rows of a higher-rate LDPC matrix is obtained by combining a plurality of rows of a lower-rate LDPC matrix with the identical code blocklength as the higher-rate LDPC matrix.

Abstract: In a digital system using a turbo code, a method for performing iterative decoding in accordance with a Log-MAP Algorithm comprises the steps of:—generating a look-up table comprising a plurality of values representative of a correcting factor;—performing a first calculation to obtain a forward metric;—performing a second calculation to obtain a backward metric;—performing a third calculation to obtain a log-likelihood ratio for every information bit to be decoded. In accordance with the method, at least one and no more than two of such calculations are performed by the use of said look-up table for implementing the Log-MAP decoding algorithm and the remaining calculations are performed implementing a Max-Log-MAP decoding algorithm.

Abstract: In order to execute, as a function of a received signal (r), a procedure of channel estimation in a transmission channel with memory in a telecommunications system, there is envisaged an operation of estimation of a delay spread associated to said channel, said operation of estimation comprising calculation of a root mean square value (?rms) of delay spread by means of a step of evaluation of crossings with a threshold level of a quantity associated to a transfer function of said channel. Said step of evaluation of crossings comprises evaluating a mean number of crossings (?0) of the real and imaginary parts of said channel transfer function with a threshold level corresponding to the zero level. Example application is to OFDM telecommunications systems and in particular wireless systems according to the IEEE 802.11a WLAN standard or the HyperlanII WLAN standard.