H03M1/66

Circuit Device, Oscillator, Electronic Apparatus, And Vehicle
20190158099 · 2019-05-23 ·

A circuit device includes an A/D conversion circuit that performs an A/D conversion of a temperature detection voltage, a digital filter that performs digital filter processing of A/D output temperature detection data, a selector that selects A/D output temperature detection data during an activation period and selects filter output temperature detection data during a normal operation period after the activation period, a digital signal processing circuit that outputs frequency control data of an oscillation frequency based on selector output temperature detection data, and an oscillation signal generation circuit that generates an oscillation signal of an oscillation frequency set by frequency control data.

Therapeutic tooth bud ablation
10298255 · 2019-05-21 · ·

Ablation probe tips (108, 148, 320, 360) and physical and virtual stents (110) for use in tooth bud ablation procedures that result in tooth agenesis as well as tooth bud ablation methods are described herein.

Therapeutic tooth bud ablation
10298255 · 2019-05-21 · ·

Ablation probe tips (108, 148, 320, 360) and physical and virtual stents (110) for use in tooth bud ablation procedures that result in tooth agenesis as well as tooth bud ablation methods are described herein.

SNDR improvement through optimal DAC element selection

A method for Signal-to-Noise and Distortion Ratio (SNDR) improvement through optimal Digital-to-Analog-Converter (DAC) element selection includes randomizing an order of a plurality of unit elements of a DAC, wherein each of the unit elements is controlled by a respective one of a plurality of digital inputs of the DAC. The plurality of digital inputs is sequentially asserted over at least a subset of a full set of the digital inputs to generate a plurality of analog values of an output of the DAC. A first SNDR of the DAC is measured from the plurality of analog values. A maximum SNDR, corresponding to an optimal order, is determined from the first SNDR and at least one previously measured SNDR. The optimal order of the unit elements of the DAC is stored in a memory to define connections between the digital inputs and the respective unit elements based on the optimal order.

CLOSED-LOOP DIGITAL COMPENSATION SCHEME

Resistor mismatch may be digitally compensated based on a known resistor mismatch, power supply information, and/or other operating parameters of the amplifier. The digital compensation may be applied to the digital input signal before conversion for processing and amplification in the analog domain. An amplifier with digital compensation for resistor mismatch may be used in a class-D amplifier with a closed loop and feedforward feedback. A class-D or other amplifier with digital compensation may be integrated with electronic devices such as mobile phones.

Randomized time-interleaved digital-to-analog converters

A time-interleaved digital-to-analog converter (DAC) uses M DAC cores to convert a digital input signal whose digital input words are spread to different DAC cores to produce a final analog outputs. The M DAC cores, operating in a time-interleaved fashion, can increase the sampling rate several times compared to the sampling rate of just one DAC. However, sequential time-interleaving DAC cores often exhibit undesirable spurs at the output. To spread those spurs to the noise floor, the time-interleaving DAC cores can be selected at a pseudo randomized manner or in a specific manner which can break up the sequential or periodic manner of selecting the DAC cores.

Randomized time-interleaved digital-to-analog converters

A time-interleaved digital-to-analog converter (DAC) uses M DAC cores to convert a digital input signal whose digital input words are spread to different DAC cores to produce a final analog outputs. The M DAC cores, operating in a time-interleaved fashion, can increase the sampling rate several times compared to the sampling rate of just one DAC. However, sequential time-interleaving DAC cores often exhibit undesirable spurs at the output. To spread those spurs to the noise floor, the time-interleaving DAC cores can be selected at a pseudo randomized manner or in a specific manner which can break up the sequential or periodic manner of selecting the DAC cores.

Semiconductor device and electronic device

A semiconductor device with low power consumption is provided. The semiconductor device can serve as a current output DA converter. The semiconductor device converts a current corresponding to a digital signal into a voltage and then holds the voltage, which allows output of the analog voltage even after stopping supply of the current. A plurality of circuits that converts a current into a voltage is provided, whereby a settling time for changing the analog output voltage is reduced.

Laundry washing machine with speech recognition and response laundry washing machine with speech recognition and response capabilities, in particular speech response, and a method for operating thereof

A laundry washing machine with a human interface configured to receive information, specifying for each item, introduced into the washing machine to be washed, essential information including a typology and a description of its characteristics. The laundry washing machine also has a memory means configured to memorize the essential information, and a data management means configured to use said information to determine the most appropriate washing program among multiple washing programs, chosen taking into account the items singularly specified through said essential information when they are introduced in said washing machine. The data management means is also configured to report to a user, by means of an output means, the presence of at least a conflicting laundry item into the washing machine, after having determined on the basis of said essential information which conflicting laundry item is unsuitable to be washed by means of the selected washing program.

Laundry washing machine with speech recognition and response laundry washing machine with speech recognition and response capabilities, in particular speech response, and a method for operating thereof

A laundry washing machine with a human interface configured to receive information, specifying for each item, introduced into the washing machine to be washed, essential information including a typology and a description of its characteristics. The laundry washing machine also has a memory means configured to memorize the essential information, and a data management means configured to use said information to determine the most appropriate washing program among multiple washing programs, chosen taking into account the items singularly specified through said essential information when they are introduced in said washing machine. The data management means is also configured to report to a user, by means of an output means, the presence of at least a conflicting laundry item into the washing machine, after having determined on the basis of said essential information which conflicting laundry item is unsuitable to be washed by means of the selected washing program.