1869 results about "Signal correlation" patented technology

Disclosed are systems, apparatuses, processes, and computer-readable media to determine a location of a device using carrier phase positioning. A process includes transmitting, at the device to a network entity, a phase measurement capability of a device (e.g., a user equipment (UE)) for subcarrier set pairs of different resources received by the device. The different resources are associated with a reference signal. The process can include receiving, at the device, a phase measurement request from a network entity for configuring phase measurements of the subcarrier set pairs of the different resources. The process can include transmitting a phase measurement report to the network entity based on the phase measurement request, the phase measurement report including information associated with a measured phase difference of at least one subcarrier set pair associated with the different resources.

Embodiments of the present disclosure relate to methods, devices and computer storage media for communication. According to this solution, a terminal device detects a beam failure on a first component carrier (CC). The terminal device applies at least one ne quasi co-location (QCL) parameters as the ones associated with a first reference signal for downlink reception on the first CC until a first timing, or applies a spatial domain filter as the one associated with the first reference signal or as for a physical random access channel (PRACH) transmission for uplink transmission on the first CC until the first timing. In this way, the failed CC can still be under control of common beam update / activation.

Methods and apparatuses for user equipment (UE)-initiated beam management. A method performed by a UE includes receiving first information to enable UE-initiated beam operation, receiving second information related to a measurement reference signal (RS) for the UE-initiated beam operation, and measuring the measurement RS. The method further includes determining, based on the measurement, a report, transmitting a first uplink (UL) channel notifying transmission of the report, and transmitting a second UL channel including the report.

The invention relates to a control method of a digital ultrasonic flaw detector calibrating device. The control method comprises the following steps: acquiring shape data and material parameters of a to-be-detected material, calling a matched standard test block, calculating adaptive ultrasonic frequency and flaw detector parameters, creating and solving a multi-objective optimization model, and planning a detection path of the to-be-detected material based on an optimal solution; emitting ultrasonic waves with matched frequency to implant the quantum dot mark array to carry out fluorescence-ultrasonic dual-mode signal correlation calibration; scanning according to a planned detection path, establishing a time-varying channel model to predict a current time delay variation, extracting a fundamental frequency and a harmonic component of a probe excitation pulse by adopting an autocorrelation algorithm to serve as a reference, constructing a state vector of a filter based on the predicted current time delay variation, and performing phase correction on a received signal to obtain a phase correction signal; and analyzing the defect of the to-be-detected material based on the corrected receiving signal. By integrating material parameter dynamic modeling, multi-modal signal collaborative calibration and adaptive path optimization, the detection precision and efficiency under complex working conditions are improved.

Disclosed are a method and a device for multi-frequency unit-based simultaneous transmission or simultaneous reception in a wireless communication system. A method for performing uplink transmission or downlink reception by a terminal in a wireless communication system according to an embodiment of the present disclosure may comprise the steps of receiving, from a network, configuration information related to a group of frequency units for one or more of an uplink and a downlink; and on the basis of one or more of a reference signal-related resource and a channel-related resource for a first frequency unit and a second frequency unit included in the group of frequency units, performing, in the same time unit, uplink transmission or downlink reception on the first frequency unit and the second frequency unit, wherein the first frequency unit and the second frequency unit at least partially overlap on a frequency domain.

A control unit for an aircraft capable of hovering or for a flight simulation system of the aircraft is described, the control unit is programmed to receive at input at least a first signal associated with real or simulated flight parameters of the aircraft and to provide at output a second signal associated with a forward velocity to never exceed of the aircraft; the control unit is programmed to process a third signal associated with an actual or simulated weight of the aircraft; to associate plurality of tables to respective intervals of values of the third signal; each table associating a plurality of values of the second signal with a respective first signal; and to process the second signal, based on the table associated with the relative interval of the third signal and the respective first signals.

The invention relates to the technical field of brain function imaging, in particular to a target crowd recognition method and device based on neural blood flow feature multi-level fusion, and the method comprises the steps: collecting brain nerve blood flow signals of normal and target crowds by using synchronous EEG-fNIRS equipment, preprocessing and extracting single-mode features, and obtaining a single-mode feature set; a multi-frequency local nerve and blood vessel coupling analysis method is used for calculating nerve and blood vessel coupling strength characteristics, a space co-positioning method is used for unifying nerve and blood flow modal space information, the position precision is improved, and data layer fusion is achieved; and integrating and analyzing different modal feature space relationships by using a Yeo7 brain template to realize feature layer fusion, and finally training various machine learning classifiers by using significant difference features to realize identification of a target population. Therefore, the problems that in the prior art, macroscopic signal correlation is paid more attention to, so that analysis of the synergistic effect of cross-modal space information in a specific brain region is deficient, and deep understanding of a neurovascular function mechanism and brain region role revelation are restricted are solved.

Systems and methods describe providing deep learning-based detection of gravitational waves. In one embodiment, the system: trains a deep learning classifier using a first set of waveform data from GW detectors; applies the trained deep learning classifier to a second set of waveform data to identify candidate GW signals; generates an SNR ranking statistic from the output of the trained deep learning classifier; determines SNR rankings of the candidate GW signals using the generated SNR ranking statistic; evaluates the compatibility between candidate GW signals from different detectors by comparing arrival times and parameters of the candidate GW signals; estimates a plurality of detection significance scores associated with the candidate GW signals by analyzing clusters of identified candidate GW signals that pass or fail the compatibility evaluation; and outputs at least a subset of the identified GW signals based on their SNR rankings and detection significance scores.

A communication network may comprise a plurality of devices. Reference signals may be sent to a wireless device. Timing information associated with the reference signals may be measured and sent, by the wireless device, to a computing device. These measurements may be used for positioning of the wireless device.

Disclosed are systems, apparatuses, processes, and computer-readable media for wireless communications. For example, an example of a process includes receiving, at an apparatus (e.g., a user equipment (UE) or component of the UE), a plurality of resource blocks associated with a positioning reference signal (PRS). A comb structure of the PRS is repeated in less than all resource blocks of the plurality of resource blocks. The process includes transmitting a phase measurement report to a first network entity. The phase measurement report includes information associated with a measured phase difference between at least one subcarrier set pair of the plurality of resource blocks. As described herein, a subcarrier set includes at least one subcarrier.

A method for dynamically adjusting transmit power of a first device that is in communication with a second device using a wireless communications protocol includes, in part, determining, by the second device, a received signal strength indication (RSSI) associated with a signal received from the first device; determining, by the second device, a first amount of power adjustment for the first device in accordance with the determined RSSI; transmitting the first amount of power adjustment from the second device to the first device; determining, by the first device, a second amount of power adjustment for the first device in accordance with the RSSI and the first amount of power adjustment; and changing a transmit power of the first device in accordance with the second amount of power adjustment.

The invention relates to the technical field of audio optimization, and discloses an audio data offset detection and compensation method and system, a storage medium and equipment, and the method comprises the steps: building a timestamp synchronization mechanism with nanosecond precision, and distributing a unique time identifier for each floating-point audio sampling point; detecting time sequence offsets of input and output signals through a self-adaptive sliding window, and positioning and determining an offset value based on a cross-correlation function extreme value; a compensation strategy is dynamically selected according to different intervals where the offset absolute value is located, and meanwhile a dynamic cache management mechanism is established to support real-time offset compensation operation; constructing a time sequence relation model through inter-channel signal correlation analysis in the multi-channel system, and implementing coordinated offset compensation based on a correlation analysis result and the compensation strategy; a performance monitoring index system is established to evaluate the offset compensation effect in real time, compensation parameters are adaptively adjusted according to audio content characteristics and system performance feedback, and accurate time sequence control over audio data is achieved through the method.

The invention provides a fault positioning method and system based on multi-mode acousto-optic electric signal collaborative diagnosis, and the method comprises the steps: firstly collecting an acoustic signal sequence, an optical signal sequence and an electric signal sequence during the operation of high-voltage electrical equipment, and then carrying out the cross-mode signal level correlation processing of a multi-mode signal, and generating a multi-mode signal correlation level chain; extracting a dynamic association feature set based on the multi-modal signal association hierarchical chain, inputting the dynamic association feature set into the fault feature evolution model to generate a fault feature identification sequence and a feature space diffusion trajectory, and finally determining a fault initial region and a fault influence boundary range of the equipment according to the fault feature identification sequence and the feature space diffusion trajectory. Therefore, the accuracy and reliability of fault positioning of the high-voltage electrical equipment can be effectively improved.

A terminal according to one aspect of the present disclosure includes a receiving section that receives configuration information related to a control resource set in a downlink bandwidth part, and a control section that determines, based on a plurality of transmission configuration indication (TCI) states corresponding to a specific control resource set based on the configuration information, at least one of a plurality of spatial relations and a plurality of pathloss reference signals to be applied to a plurality of repetition transmissions of a physical uplink control channel (PUCCH). According to one aspect of the present disclosure, it is possible to appropriately control operation related to a default TCI state / spatial relation / pathloss reference signal.

A hardware sampling device (200) and related method for generating observations of arbitrary random variables from probabilistic bits are disclosed. The sampling device comprises a programming unit (250) for adjusting the mean value of probabilistic bits generated by each one of a plurality of probabilistic bit generators (271a-h), a binary selection tree structure (210) comprising a plurality of nodes, and a detection logic circuit (240) for detecting a tie condition for each depth stage of the binary selection tree (210). Each node comprises a selector circuit (213) connected between a pair of input terminals (211a-b) and an output terminal (212). The and configured to randomly admit one of the two input signals to the output terminal if a tie condition is detected, or else admit the input signal which represents a logical '1'. The position index bit related to the admitted input signal is supplied to the output terminal of the node and concatenated with a sequence of previously transmitted position index bits.

A system and a method are disclosed for performing A-IoT based communications. The method includes receiving, by an A-IoT device, an energizing signal, causing, based on the energizing signal, the A-IoT device to become activated, storing energy from the energizing signal in the A-IoT device, a duration of the energizing signal including a duration associated with activating the A-IoT device and / or a duration associated with storing the energy to satisfy a threshold amount of energy, receiving, by the A-IoT device, a first signal including a preamble, at least a portion of the preamble indicating a beginning of a payload associated with the first signal, and decoding, by the A-IoT device, at least a portion of the payload based on the preamble.

A terminal according to one aspect of the present disclosure includes a receiving section that receives configuration information for enabling two default beam pathlosses for uplink (UL) transmission and information for indicating the UL transmission, and a control section that determines, based on whether the UL transmission is transmission over a plurality of slots, at least one of a default spatial relation and a default pathloss reference signal (PL-RS) to be applied to the UL transmission. According to one aspect of the present disclosure, it is possible to appropriately control operation related to a default TCI state / spatial relation / pathloss reference signal.

The invention provides an RFID label positioning error correction method based on deep learning, and the method comprises the following steps: 1, deploying a multi-mode sensing network in a target region, synchronously collecting radio wave signals and environment auxiliary data of an RFID label, and constructing a space-time multi-dimensional feature data set; step 2, constructing a joint architecture hybrid model composed of a space-time Transform network and a generative adversarial network; according to the method, a space-time multi-dimensional feature data set is constructed by fusing RFID signals and environment auxiliary data through a multi-mode sensing network, adaptive parameters are dynamically generated in combination with a model-independent meta-learning algorithm so as to quickly respond to environment changes, multi-path signal correlation is captured by using a space-time Transform and generative adversarial network combined architecture, feature expression is optimized, and the robustness of the system is improved. The problems that a single signal feature is missing, model parameters cannot dynamically adapt to the environment and the anti-interference robustness of a traditional network is insufficient are effectively solved, and the effectiveness, the real-time performance and the precision of RFID label positioning in the complex environment are remarkably improved.

Aspects presented herein may improve joint communication-radar system by providing a radar reference signal with GI-FMCW waveform. Aspects presented herein may be compatible with communication-centric waveforms and thereby may apply to UEs or network entities with minimal changes if specified. In one aspect, a wireless device transmits a set of communication signals. The wireless device configure one or more parameters associated with a set of radar reference signals for radar sensing based on the set of communication signals, each radar reference signal in the set of radar reference signals including a guard interval. The wireless device transmits the set of radar reference signals associated with the one or more parameters.

Embodiments of the described technologies determine input signals, where the input signals are specific to a user of the user network. The input signals are input to a set of artificial intelligence (AI) models. In response to the input signals, the first set of AI models output a first set of AI-derived signals relating to the input signals. At least one prompt template is applied to the first set of AI-derived signals to create at least one prompt. The at least one prompt is input to at least one generative AI model. In response to the at least one prompt, the at least one generative AI model outputs at least one thought starter machine-generated by the at least one generative AI model. The at least one thought starter includes digital content configured to be distributed via the user network.

Method includes receiving a first delay time and a first timing measurement by a TMV from a first receiver at a first node. The first timing measurement is generated by comparing a first time associated with a first signal to a first local clock time. The first signal is transmitted by a transmitter at a source. The TMV receives from a second receiver at a second node in a network, a second delay time and a second timing measurement. The second timing measurement is generated by comparing a second time associated with a second signal to a second local clock time. The second signal is transmitted by the transmitter at the source. The TMV generates a correction factor time based on the first timing measurement, the first delay time, the second timing measurement, and the second delay time. The TMV transmits the correction factor time to the second node.

The embodiment of the invention provides a communication method, a communication device, a storage medium and a program product, relates to the technical field of communication, and can solve the technical problem of unreliable parameter indication in related technologies. The method is applied to a first node, and comprises the following steps: receiving a first signaling from a second node; sending a first signal to the second node based on the first signaling; wherein the first signaling is used for indicating configuration information related to sending of the first signal by the first node; the first signal includes at least one of the following: a message Msg1, a message Msg3, and a data transmission after the message Msg3.

Radio alignment of downlink and uplink channels between a wireless device and a multi-antenna base station. A method performed by a network node comprises obtaining downlink channel data, wherein the downlink channel data comprises: estimates of a plurality of downlink channels each associated with a downlink reference signal being received from one of the antennas at the wireless device, and time synchronization information associated with each of the downlink channels; obtaining uplink channel data, wherein the uplink channel data comprises: estimates of a plurality of uplink channels each associated with an uplink reference signal being received at one of the antennas from the wireless device, and time synchronization information associated with each of the uplink channels; comparing the downlink channel data and the uplink channel data to determine whether the downlink channel and uplink channel between the wireless device and the multi-antenna base station are aligned.

Methods and apparatuses for user equipment (UE) initiated early sounding reference signal (SRS) triggering. A method of operating a UE includes receiving a configuration related to a SRS. The configuration indicates a list of downlink (DL) signals associated with one or more cells, SRS resources, and an association between the DL signals and the SRS resources The method further includes measuring and determining a DL signal from the DL signals and determining, from the SRS resources, an SRS resource associated with the DL signal. The method further includes transmitting an uplink (UL) signal associated with the determined SRS resource and transmitting the SRS resource based on the UL signal.

The invention relates to the technical field of biomedical signal processing, and discloses a multi-wavelength PPG signal motion artifact elimination algorithm and system. The method comprises the following steps: acquiring a multi-wavelength PPG signal by using acquisition equipment; inputting the acquired noise-containing multi-wavelength PPG signal into a filter; the filter processes an input signal and then generates a denoised PPG signal; extracting a period of the denoised signal in real time by using an autocorrelation function; inputting the denoised PPG signal and a period extracted in real time into a BSS algorithm to find an optimal noise reference signal; taking the denoised PPG signal and the optimal noise signal as a first input and a second input of adaptive filtering to eliminate motion artifacts; the motion artifacts are eliminated by using the algorithm, and finally the PPG signals with the motion artifacts eliminated are output; the method overcomes the problems of dependence on additional hardware, low correlation of noise reference signals, complex algorithm and the like in the prior art.

Disclosed are techniques for communication. In an aspect, a first UE determines information (e.g., from an external device, or via the first UE's own energy sensing) associated with scheduled uplink transmissions on a set of symbols by a second UE. The first UE performs measurements on at least some of the scheduled uplink transmissions during a first subset of the set of symbols where no DL signals are received by the first UE. The first UE receives at least one DL signal during a second subset of the set of symbols, and mitigates interference associated with the at least one DL signal based on the measurements.

Embodiments of the present disclosure relate to devices, methods, apparatuses and computer readable storage media of antenna configuration for positioning. The method comprises identifying, at a first device, at least one second device hearable by the first device based on a monitoring of respective reference signals from the at least one second device; determining respective transmit power on at least two antenna panels allocated for the at least one second device based on a measurement associated with the respective reference signals; and transmitting, to the at least one second device, a message associated with a positioning of the first device by using the at least two antenna panels with the respective transmit power. In this way, the chance of successful PRACH for positioning reception at all identified involved gNBs may be optimized for maximized positioning accuracy at low latency and low UE power consumption.

A method for wireless communication at a user equipment (UE) and related apparatus are provided. In the method, the UE receives, from a network entity, a channel state information (CSI) report configuration including a set of sub-configurations. Each sub-configuration in the set of sub-configurations corresponds to a transmission setting associated with a channel state information reference signal (CSI-RS). The UE further determines one or more CSIs respectively corresponding to a subset of the set of sub-configurations, and transmits, based on the transmission setting corresponding a first sub-configuration of the subset of sub-configurations, a reduced content of a CSI report or refrains from transmitting the CSI report. The CSI report is associated with a first CSI for the first sub-configuration.

A method performed by a user equipment (UE) in a wireless communication system according to an embodiment of the present disclosure comprises receiving configuration information related to a sounding reference signal (SRS) from a base station, receiving an RRC release message from the base station, and transmitting the SRS in an RRC_INACTIVE state to the base station. The SRS may be related to a positioning. The RRC release message may include configuration information related to the SRS for positioning in the RRC_INACTIVE state. Based on a transmission of the SRS colliding with other physical signal or other physical channel in a time domain, the transmission of the SRS may be dropped or performed in at least one symbol in which the collision occurs.

Aspects of the present disclosure provide an over-the-air (OTA) interferometer that enables redirecting, by a reconfigurable intelligent surface (RIS) to a destination, a signal that impinges the RIS at each of a plurality of time slots, thereby modulating the signal. The RIS is virtually divided into a plurality of RIS portions. In each time slot, phase components to be applied to the plurality of RIS portions are determined based on one or more phase values. The phase values may include an underlying phase related to redirecting a source signal, an additional phase related to data that an input operatively connected to the RIS aims to transmit to the destination by modulating the signal being redirected, and / or a further phase related to interference patterns that can help extract the data phase at the destination. The destination may demodulate the received signals based on the signal strength measurements.