10 results about "Function generator" patented technology

Embodiments of the present invention provide a sensing apparatus. The sensing apparatus includes a biochip unit and a receptacle device. The biochip unit includes a reservoir configured to receive a predetermined amount of an analyte, a plurality of working electrodes configured to be in contact with the analyte, a reference electrode and a counter electrode configured to complete an electrical circuit with the plurality of working electrodes. The receptacle device includes a receptacle unit configured to be electrically and mechanically coupled to the biochip unit, a function generator electrically coupled to the receptacle unit, a memory unit configured to store machine-readable instructions, and a processor operably connected to the memory unit. The processor is enabled by the machine-readable instructions to determine a plurality of deduced values corresponding to a plurality of analyte parameters of the analyte from the plurality of observed values of the plurality of predetermined parameters.

A signal processing system for adjusting an audio signal, the signal processing system configured to: receive an audio signal for adjustment at a signal input; at a function generator, receive a selection of a musical key and scale, the musical key and scale including musical notes, and generate an audio signal processing function, configured to adjust the amplitude of frequencies of an audio signal, the audio signal processing function being dependent on the selected musical key and scale; apply the generated audio signal processing function to the received audio signal to generate an adjusted audio signal; and, output the adjusted audio signal at a signal output.

The present application relates to quantum dot light emitting diode (QLED) device characterization technology, in particular to a kind of with quantum dot light emitting diode electroluminescence imaging method.The present application aims to study the relationship between light intensity and dynamic parameter distribution in QLED electroluminescence (EL) process, to guide the preparation optimization of QLED device.The present application successfully realizes the above function by combining function generator with traditional fluorescence imaging system.The innovation of prior art is that function generator is used to generate pulse voltage to excite QLED sample, and fluorescence imaging system is combined to detect the EL imaging of QLED, and the imaging result of EL dynamic parameter is obtained by analysis software fitting.Through the statistics of the spatial distribution of QLED EL dynamic parameter and luminous intensity, the key factors affecting luminous intensity can be identified, thereby effectively guiding the optimization preparation process of QLED device.

A method and system for acoustic cleavage are provided. [Solution] An acoustic system is described, which includes a piezoelectric device, an AC power supply for supplying alternating current (AC) voltage, an AC-DC converter coupled to the AC power supply for converting the AC voltage supplied by the AC power supply to a direct current (DC) voltage, a function generator for generating an input signal at the resonant frequency of the piezoelectric device, and an amplifier coupled to the AC-DC converter, the function generator, and the piezoelectric device, wherein the amplifier generates an output signal by amplifying the input signal according to the DC voltage, and uses the output signal to drive the piezoelectric device.

This application provides a chip, a physically unclonable function generator, and a chip authentication method. The chip includes a first magnetically conductive sheet, a bare die, and a second magnetically conductive sheet. The bare die is disposed on the second magnetically conductive sheet, and the first magnetically conductive sheet is disposed on the bare die. The size of the first magnetically conductive sheet is larger than the size of the memory array in the bare die. The memory array includes a data array and a physically unclonable function array, with the data array located around the periphery of the physically unclonable function array. When the chip is placed in an external magnetic field, and the external magnetic field causes the second magnetically conductive sheet to reach magnetic saturation, the resistance state of some memory cells in the physically unclonable function array flips. This broadens the operating range of the physically unclonable function array, enabling it to operate in stronger external magnetic fields.

The application relates to a self-adaptive compensation lithium battery state-of-charge monitoring device, which comprises a support (1), a water tank (2), a water-immersed ultrasonic emission transducer (3), a water-immersed ultrasonic receiving transducer (4), a battery to be measured (5), a function generator (6), an ultrasonic signal collector (7), an auxiliary detection unit (8), an optical power meter (9) and a data processor (10). The device can compensate the influence of temperature and stress on ultrasonic signals, so as to further improve the precision of ultrasonic detection of the battery state-of-charge.

This invention discloses a fiber laser that achieves wave packet pulse train output based on pulse-pumped passive modulation technology. The device includes a pump source; a (2+1)×1 combiner; rare-earth-doped double-clad gain fiber; a passively Q-switched material; a flange; a high-reflectivity fiber Bragg grating; a low-reflectivity fiber Bragg grating; and a function generator. A TTL modulation signal is selected and input to the pump source to obtain wave packet pulses. By changing the modulation frequency of the signal, the number of sub-pulses within the wave packet is changed, thus providing a fiber laser solution that allows adjustment of the number of sub-pulses within the wave packet pulse train as needed.

This invention discloses an interference gas suppression device based on the reverse sound pressure distribution of a differential photoacoustic cell. A function generator produces a modulation signal and a reference signal with the same frequency and phase. A laser driving module outputs a driving current according to the modulation signal. First and second lasers generate a first modulated laser with wavelengths covering the absorption spectra of the target and interference gases, and a second modulated laser with wavelengths covering the absorption spectra of the interference gas, based on the driving current. The differential photoacoustic cell receives and performs acoustic enhancement, electrical signal conversion, and differential processing on the photoacoustic signal generated after the interaction between the modulated laser and the gas to be tested, based on the reverse sound pressure distribution characteristics, and outputs a differential photoacoustic signal. A lock-in amplifier performs phase-sensitive detection and low-noise amplification on the differential photoacoustic signal based on the reference signal, and outputs an amplitude signal related to the concentration of the target gas. Thus, a device that can suppress interference gases under the condition that the absorption lines of the target gas and the interference gas are highly coincident is provided.

The present invention describes an integrated acoustic spectroscopy system and method for the analysis, characterization, and classification of organic, inorganic, and biological matter, assisted by supervised artificial intelligence, through the analysis of samples obtained from specific entities. The system integrates a computing unit (2) with a graphical interface (1), a function generator (3), a signal processing device (4), and an acoustic coupling clamp (5) with coaxial transducers. As an application example, glass samples (from inorganic entities), culture media (from organic entities), and cell culture lines (from biological entities) were successfully characterized and classified.The method involves capturing a digitized acoustic signature from a sample, generating a multidimensional data hierarchy that ranges from time-domain signals to high-density spectrograms obtained by Continuous Wavelet Transform (CWT) and post-processing vectors for classification. Using a 2% rescaling, standardization, and dimensionality reduction (UMAP) chain, an acoustic signature is extracted and fed into a Support Vector Machine (SVM) model optimized by Bayesian inference. The invention is notable for a management and synchronization module that allows for incremental retraining of the model through manual labeling in the dynamic repository. The system enables the differentiation of healthy and pathological cell phenotypes with a Matthews Correlation Coefficient (MCC) greater than 0.94 in less than a minute, optimizing the analysis, characterization and classification of matter without dependence on reagents or complex infrastructures, with outstanding application in cancer screening.