Abstract:
A calibration device, method and electronic device using the same provided by embodiments of the present disclosure only need to measure frequency values of two temperatures, then calculate frequency drift rates of various configuration combinations, and select the configuration combination with the smallest frequency drift rate to set configuration values of a trimming module. Thus, the test time can be reduced. In one embodiment, a simple heating device can be directly disposed on the chip package structure of the electronic device, so it is not necessary to use an external heating device for heating, and the environmental space required for placing the external heating device can be reduced.
Abstract:
An integrated circuit device includes a digital signal processing circuit that generates frequency control data by performing a temperature compensation process by a neural network calculation process based on temperature detection data and an amount of change in time of the temperature detection data, and an oscillation signal generation circuit that generates an oscillation signal of a frequency set by the frequency control data using a resonator.
Abstract:
A circuit device includes a digital interface, a processor, an oscillation signal generation circuit, a clock signal generation circuit that generates a clock signal having frequency obtained through multiplication of a frequency of the oscillation signal, and terminal groups of the digital interface and the clock signal generation circuit. The terminal group of the digital interface is disposed in a first region along a first side of the circuit device, and the terminal group of the clock signal generation circuit is disposed in any one of second, third and fourth regions of the circuit device.
Abstract:
Systems and methods for controlling frequency output of an electronic oscillator to compensate for effects of a parameter experienced by the oscillator incorporate artificial neural network processing functionality for generating correction signals. A neural network processing module includes one or more neurons which receive one or more inputs corresponding to a parameter of an electronic oscillator, such as temperature. Weights are calculated and applied to inputs to the neurons of the neural network as part of a training process, wherein the weights help shape the output of the neural network processing module. The neural network may include a linear summation module configured to provide an output signal that is at least partially based on outputs of the one or more neurons.
Abstract:
A temperature-compensated crystal oscillator includes a crystal resonator; and an oscillator circuit for performing temperature compensation. The oscillator circuit has a temperature sensor unit that measures an ambient temperature of the crystal resonator, a temperature compensation unit that outputs a first voltage for temperature compensation based on the measured temperature, a high-temperature load capacitance adjustment unit that outputs a second voltage for temperature compensation based on the temperature measured in a high temperature area exceeding a particular temperature range, an oscillator unit having first and second variable capacitance elements used for temperature compensation within a particular temperature range, third and fourth variable capacitance elements used for temperature compensation in the high temperature area, and an oscillation integrated circuit (IC) connected to the crystal resonator to perform an oscillation operation, and a buffer that amplifies the output from the oscillator unit.
Abstract:
Systems and methods for controlling frequency output of an electronic oscillator to compensate for effects of a parameter experienced by the oscillator incorporate artificial neural network processing functionality for generating correction signals. A neural network processing module includes one or more neurons which receive one or more inputs corresponding to a parameter of an electronic oscillator, such as temperature. Weights are calculated and applied to inputs to the neurons of the neural network as part of a training process, wherein the weights help shape the output of the neural network processing module. The neural network may include a linear summation module configured to provide an output signal that is at least partially based on outputs of the one or more neurons.
Abstract:
There is provided a temperature compensated piezoelectric oscillator which excels in frequency stability and has a good electronic noise characteristic, and with which a circuit can be structured simply. An auxiliary oscillator unit 21 sharing a crystal substrate 2 with a main oscillator unit 11 outputting a set frequency f0 to an outside is used as a temperature detecting unit 32 detecting a temperature T for obtaining a compensation voltage ΔV in a temperature compensated piezoelectric oscillator (TCXO), and electrodes 13, 23 of the main oscillator unit 11 and the auxiliary oscillator unit 21 are provided separately on the crystal substrate 2. For example, a fundamental wave and an overtone are used or a thickness shear vibration and a contour shear vibration are used in the main oscillator unit 11 and the auxiliary oscillator unit 21, respectively.
Abstract:
A resonator of a VCO includes a fine tuning main varactor circuit, an auxiliary varactor circuit, and a coarse tuning capacitor bank circuit coupled in parallel with an inductance. The main varactor circuit includes a plurality of circuit portions that can be separately disabled. Within each circuit portion is a multiplexing circuit that supplies a selectable one of either a fine tuning control signal (FTAVCS) or a temperature compensation control signal (TCAVCS) onto a varactor control node within the circuit portion. If the circuit portion is enabled then the FTAVCS is supplied onto the control node so that the circuit portion is used for fine tuning. If the circuit portion is disabled then the TCAVCS is supplied onto the control node so that the circuit portion is used to combat VCO frequency drift as a function of temperature. How the voltage of the TCAVCS varies with temperature is digitally programmable.
Abstract:
A semiconductor integrated circuit device includes a DCO and a storing unit that stores a temperature coefficient of an oscillation frequency and an absolute value of the oscillation frequency, which should be set in the DCO, corresponding to potential obtained from a voltage source that changes with a monotonic characteristic with respect to temperature.
Abstract:
Dual table temperature compensation for a voltage controlled crystal oscillator is achieved by sensing the temperature of the voltage controlled crystal oscillator (VCXO), retrieving from a first table the frequency error with variations in the temperature sensed, retrieving from a second table the oscillator control voltage corresponding to the frequency error from the first table and applying the oscillator control voltage to the VCXO.