12 results about "Analog processing circuits" patented technology

A radar sensor has an analog front-end with an in-phase, I, channel output and a quadrature-phase, Q, channel output. The radar sensor operates in a pulsed operation. A mode switch is used to couple a selected one of the I and Q-channel outputs to an analog processing circuit. The mode switch is operable in a first, I-channel, mode, a second, Q- channel, mode, and a third, time division multiplexing dual-channel, mode. In this way, the radar can operate in power efficient single-channel mode or a dual-channel mode for greater robustness to interference.

Radio frequency (RF) / analog signal processing circuits are provided. An RF / analog signal processing circuit can be configurable (i.e., able to be configured for a specific task or outcome) and / or general-purpose. The RF / analog signal processing circuits can realize multiple operations, including integration, differentiation, spectrum sniffing, matrix multiplication, and / or beamforming directly at RF waveform domain in a single chip. The circuits can support a frequency range of, for example, direct current (DC) to 50 gigahertz (GHz) or more.

The application provides a back-illumination process-based image sensor, comprising a pixel array, an analog processing circuit, a digital processing circuit and a frame buffer circuit; the analog processing circuit is connected with the pixel array and is used for quantizing and reading a pixel signal of the pixel unit after row exposure to obtain a row quantization signal; the frame buffer circuit is connected with the analog processing circuit and is used for buffering the row quantization signal into a row buffer signal; and the digital processing circuit is connected with the frame buffer circuit and is used for processing the row buffer signal. The back-illumination process-based image sensor provided by the application can improve the quantization speed of the analog processing circuit by adding the frame buffer circuit to temporarily buffer the signal quantized by the analog processing circuit row by row, thereby greatly shortening the quantization window of the whole frame image, realizing high frame rate quantization and achieving an image effect similar to a global shutter.

An imaging device capable of detecting differences with low power consumption is provided. The imaging device includes a pixel including a photoelectric conversion element and a transistor; an analog processing circuit; and a digital processing circuit. The imaging device is operated in a first mode and a second mode. In the first mode, the analog processing circuit detects a difference between first imaging data taken by the pixel and second imaging data taken by the pixel and generates a trigger signal on the basis of the value of the difference. In the second mode, the digital processing circuit converts third imaging data taken by the pixel into digital data. Switching from the first mode to the second mode is performed on the basis of the trigger signal.

There is provided techniques for processing signals by a receiver unit of a microwave link site. A method comprises processing, by an analog processing circuitry, an analog signal as received over the air by an antenna of the microwave link site. The method comprises converting, by an analog-to-digital converter, the analog signal, as processed by the analog processing circuitry, to a first digital signal. The method comprises sending, by a digital signal interface, the first digital signal to at least one further receiver unit of the microwave link site over a digital connection. The method comprises receiving, by the digital signal interface, a respective second digital signal from each of said at least one further receiver unit over the digital connection. The method comprises processing, by a digital processing unit, the first digital signal and said respective second digital signal.

An imaging device capable of detecting differences with low power consumption is provided. The imaging device includes a pixel including a photoelectric conversion element and a transistor; an analog processing circuit; and a digital processing circuit. The imaging device is operated in a first mode and a second mode. In the first mode, the analog processing circuit detects a difference between first imaging data taken by the pixel and second imaging data taken by the pixel and generates a trigger signal on the basis of the value of the difference. In the second mode, the digital processing circuit converts third imaging data taken by the pixel into digital data. Switching from the first mode to the second mode is performed on the basis of the trigger signal.

The application discloses a micro-hemispherical resonator gyroscope digital control circuit device based on a parameter average model, which is composed of a micro-hemispherical resonator gyroscope, an analog processing circuit, a signal conversion circuit and an FPGA control module. The analog processing circuit comprises a detection interface circuit, an analog demodulation filter circuit, a voltage comparator circuit and a driving interface circuit; the signal conversion circuit comprises an analog-to-digital converter circuit and a digital-to-analog converter circuit; and the FPGA control module comprises a reference signal generator module, a digital filter module, a parameter calculator module, a PI controller module and an output signal conditioning module. The application establishes a model of the vibration state of the gyroscope by using a parameter average method, realizes a control algorithm by using an FPGA, and directly samples and acquires phase information by using an FPGA system working clock, so that the phase control resolution and precision of the micro-hemispherical resonator gyroscope are improved, and the overall performance of the gyroscope is improved.

An ear-worn device may include two or more microphones configured to generate time-domain audio signals, each of the two or more microphones configured to generate one of the time-domain audio signals; processing circuitry comprising analog processing circuitry, digital processing circuitry, beamforming circuitry, and short-time Fourier transformation (STFT) circuitry, the processing circuitry configured to generate, from the time-domain audio signals, one or more frequency-domain non-beamformed audio signals and one or more frequency-domain beamformed signals; and enhancement circuitry comprising neural network circuitry configured to receive multiple frequency-domain input audio signals originating from the one or more frequency-domain non-beamformed audio signals and the one or more frequency-domain beamformed signals, and implement a single neural network trained to generate, based on the multiple frequency-domain input audio signals, a noise-reduced and spatially-focused output audio signal or an output for generating a noise-reduced and spatially-focused output audio signal.

Radio frequency (RF) / analog signal processing circuits are provided. An RF / analog signal processing circuit can be configurable (i.e., able to be configured for a specific task or outcome) and / or general-purpose. The RF / analog signal processing circuits can realize multiple operations, including integration, differentiation, spectrum sniffing, matrix multiplication, and / or beamforming directly at RF waveform domain in a single chip. The circuits can support a frequency range of, for example, direct current (DC) to 50 gigahertz (GHz) or more.

The invention discloses a non-invasive blood glucose monitoring method and device based on multi-wavelength optical analysis and a neural network. The device comprises a multi-wavelength LED light source array, a plurality of photoelectric detectors, a self-developed analog processing circuit, a high-precision ADC, a microcontroller and an intelligent algorithm module. The method comprises the following steps: emitting multi-wavelength modulated light in a frequency conversion mode, and collecting an optical signal after organization modulation; after analog closed-loop processing and ADC conversion, robust blood glucose characteristic signals are extracted through FIR filtering and FFT time-frequency analysis; and finally, learning and calculating by utilizing a neural network model, and realizing self-adaptive calibration by combining user calibration. Through combination of hardware innovation and an advanced algorithm, the accuracy, the anti-interference capability and the personalized adaptation level of noninvasive blood glucose measurement are effectively improved, the problems that existing invasive monitoring is painful and inconvenient, and noninvasive technical errors are large are solved, and comfortable, convenient and reliable continuous blood glucose monitoring is achieved.

This invention discloses a circuit, neural network processing device, chip, and electronic device for implementing the Softmax activation function in the analog domain, relating to the field of neural network technology. It solves the technical problem of the Softmax activation function consuming large amounts of power and area. The circuit for the Softmax activation function includes: a natural exponent analog processing circuit, which calculates the natural exponent of the input voltage value based on the analog circuit and replicates the result of the natural exponent calculation; a second current mirror circuit, which accumulates the converged output current based on the current mirror, with the output current being the result of the natural exponent summation; and an analog divider circuit formed by several switching transistors, used to perform division operations. This invention implements the Softmax activation function calculation in the analog domain, which, compared to the digital domain implementation, significantly reduces the number of transistors, lowers chip area and power consumption, and provides better energy efficiency and area efficiency.

An integrated circuit for controlling operation of a pen includes an input circuit configured to receive a signal corresponding to a pulse signal transmitted from a sensor electrode group of a sensor. The integrated circuit includes an analog processing circuit configured to detect edges of the signal and to output an edge-detected signal. The integrated circuit includes a pattern storage configured to store a plurality of chip sequences as known patterns. The integrated circuit includes a digital processing circuit configured to perform a correlation operation between the edge-detected signal and the known patterns to recognize transmission data of the pulse signal. The pulse signal is transmitted using a main signal and a sub signal so as to enhance edges of the pulse signal.