12 results about "Pulse stream" patented technology

An optical transmitter for quantum key distribution. The transmitter comprises a first and a second. Each laser is configured to emit phase-randomised pulses. The transmitter further comprises an optical combiner configured to combine the pulses emitted from the first and second laser into a combined stream of pulses based on an adjustable combining ratio. The transmitter further comprises a Mach-Zehnder interferometer with a short and a long arm. The interferometer has an input port configured to receive the combined stream of pulses and an output port configured to provide an output of the interferometer. At least one of the arms comprises a phase controlling element to control a phase between the short and long arm.

The application discloses a neuromorphic auditory event-based anti-reverberation processing method and system for security scene abnormal voiceprint recognition, which comprises the following steps: acquiring an asynchronous auditory event sequence in a high-reverberation space; anchoring an initial pulse cluster triggered by a direct sound wave and extracting the same as a reference feature; constructing a channel-level dynamic refractory period mask window based on the reference feature and an estimated reverberation duration; determining a newly-arrived pulse cluster similar to the reference feature as a delayed ghost pulse generated by an echo and intercepting and filtering the same within the mask window action period, so as to generate a pure pulse stream; and inputting the pure pulse stream into a pulse neural network for recognition. The application effectively filters out redundant pulses generated by physical echoes from a data source in a native asynchronous pulse domain, avoids high-cost waveform reconstruction, can effectively prevent the subsequent pulse neural network from making a misjudgment and power saturation due to redundant data, improves the accuracy, robustness and real-time performance of the system in the abnormal voiceprint recognition under a high-reverberation environment, and meanwhile, retains the low-power consumption advantage of event-driven sensing.

The application discloses a time-domain-based analog Softmax and Top-K calculation circuit, and belongs to the technical field of integrated circuits and artificial intelligence accelerator. N The circuit comprises one parallel analog channel and a global module. The analog channel comprises a voltage-controlled oscillation unit, an edge pulse shaper, a state latch and an output control switch, and is used for converting an input analog voltage into an extremely narrow pulse stream with a corresponding frequency; the global module comprises normalization logic, Top-K logic and global control logic, and is used for counting the total number of global pulses and the winning state of the channel, and jointly issuing a channel enable bus; through the analog channel and the global module, exponential normalization and feature screening are originally completed in the analog time domain, and high-precision analog-to-digital converters and digital divider trees required by each channel are completely saved; moreover, through a pulse competition screening Top-K mechanism, the processing of redundant data and dynamic power consumption overhead are completely eliminated, and the energy efficiency ratio of an AI chip is improved.

The application discloses a LOS state detection circuit for an SFP optical module, which comprises an input inversion module, a signal conditioning and pulse expansion module and a threshold comparison and decision module connected in sequence. The input inversion module comprises a receiving original port link state indication signal, which is used for logical inversion of the original signal and enhancement of driving capacity. The signal conditioning module converts the data pulse stream output by a PHY chip into a smooth direct current voltage by using peak holding and RC expansion technology. The threshold comparison module intelligently judges whether the voltage represents valid signal activity through a hysteresis comparator, and finally outputs a hardware LOS signal which strictly conforms to the SFP MSA standard and is highly stable. The application realizes reliable optical signal loss detection in a full hardware mode, solves the problems of unstable output and easy misjudgment of a traditional scheme, and has the advantages of low cost, small area, fast response and high reliability, and is particularly suitable for integrated SFP optical module design.

This invention relates to the field of image recognition and automated control technology, specifically disclosing an automatic sorting and defect detection system for toy parts based on image recognition. The system includes an event vision sensing module, an asynchronous pulse stream processing module, a multimodal feature fusion and defect determination module, and a high-speed sorting execution module. By capturing the asynchronous pulse stream of part movement through an event camera, a blurred spatiotemporal contour is reconstructed and adaptively fused with global color image features. This achieves high-precision identification of part categories and simultaneous detection of multiple defects such as size, scratches, and color unevenness, ultimately driving the execution mechanism to complete the sorting. This invention improves detection accuracy, speed, and system robustness.

The application discloses a wave front detection system and method based on a pulse camera, and belongs to the technical field of adaptive optics. The system comprises a micro optical unit for dividing an incident wave front into a sub-spot array; a pulse camera, whose photosensitive surface is located at the focal plane of the micro optical unit, for receiving the sub-spot array and outputting spot change information in the form of an asynchronous pulse stream; and a data processing unit for processing the pulse stream in real time, outputting a transient wave front phase through pulse classification, centroid calculation and wave front reconstruction. The application utilizes the high time resolution and asynchronous output characteristics of the pulse camera, can track the high-speed movement of a spot with a precision of microseconds, significantly improves the time resolution and dynamic range of wave front detection, and is suitable for fields such as astronomical observation, high-speed flow imaging, laser communication and the like which require high-frequency and large-aberration measurement.

The application relates to the technical field of artificial intelligence and computing resource optimization, and discloses a neural network dynamic computing resource allocation method based on information entropy. The method embeds an information entropy gating module at the end of each processing layer of a deep pulse neural network, calculates the binary information entropy of the current layer output pulse stream in real time, dynamically determines whether the input data has been sufficiently processed in the inference stage, and when the information entropy is lower than a preset threshold, determines that the model has reached sufficient certainty for the current input, skips the subsequent unexecuted processing layer, and directly transmits the current output to the output layer. The method makes simple input consume fewer computing layers and complex input consume more layers, and realizes adaptive on-demand allocation of computing resources. Behavior level simulation verification shows that in a 12-layer pulse neural network, about 40% to 60% of the inputs can exit in the 6th to 9th layer in advance, and the inference delay is reduced by an average of 30% to 50%.

The application belongs to the technical field of computer vision and multi-modal data processing. The application provides an ANN-SNN hybrid architecture sound source positioning method based on event driving. The ANN branch is used to process spatial semantic information, realize high-fidelity semantic understanding of acoustic scene spatial distribution, and capture sound event timing dynamic characteristics by the SNN branch, so as to play the advantages of event driving, low power consumption and noise resistance. The DBSI mechanism is designed to extract semantic and time clues from the same input pulse stream in parallel, realize cross-modal information alignment and integration through a multi-scale feature fusion strategy, and improve multi-modal perception collaboration efficiency. The SGAM module introduces a hard attention mechanism of acoustic pulse gating management, accurately identifies the significant starting time of the sound event, activates visual positioning update only at the key time point, suppresses the positioning tailing phenomenon, and improves the timing resolution and response accuracy.

The utility model relates to a kind of buffer based on peristaltic pump pulse inhibition, comprising: encapsulation shell, hard pipe is equipped in encapsulation shell, and adapter is installed in encapsulation shell, and the opening of hard pipe is sealedly connected with adapter, and fluid inlet is threadedly connected with adapter, and adapter is communicated with flow outlet;After the hard pipe of pulse fluid is introduced, buffer area is provided for fluid, channel volume is increased to weaken pulse energy, and the hard pipe of U shape prolongs fluid flow path and residence time, further enhances buffering, so that pulse energy is gradually dissipated, to ensure that fluid is smoothly transported to subsequent equipment or system.

The present application is a kind of deep coal seam pulse hydraulic fracturing device and method, the device comprises: ground pulse modulation system, including pulse jet generation device for optical casing, for modulating continuous pumping fracturing fluid into pulse fluid and injecting into wellbore on the ground;Pulse fluid can pulse hydraulic fracturing of coal seam;Downhole pulse modulation system, at least including coiled tubing pulse jet generation device, coiled tubing pulse jet generation device is used to generate pulse jet in the set position in well, and pulse jet can jet fracturing to coal seam.The present application proposes an optimization mechanism based on geology-engineering dessert drilling conditions, through flexible selection of operation mode, realizes the depth coupling of pulse generation device and existing mature fracturing process of deep coal seam, applies cyclic alternating load type shock wave to deep coal seam, makes it stress oscillation, fatigue failure, thereby reduces the crack initiation pressure, promotes the formation of crack network, and is expected to become a new technology for deep coal seam reservoir reconstruction.

A flow meter for a pulsed fluid stream, includes a flow body having an inlet and an outlet and defining a channel for the flow of the fluid stream in a direction from the inlet to the outlet. A float structure is disposed in the channel, having a ferromagnetic body. First, second and third coils surrounding first, second and third separated portions of the float body. The second coil is configured as a drive coil for connection to an AC signal generator and situated between the first and third coils along the float body. The first and third coils generate induced voltage signals in response to the position of the float in the channel. An electronics module is connected to the first, second and third coils, including the AC signal generator and an electronic circuit for measuring the position of the float structure in the channel.

This invention relates to the field of radiation source identification technology, providing a method and apparatus for pulse stream segmentation and signal pattern recognition. The invention performs outlier detection on a radar pulse stream sequence to determine anchor points; segments the radar pulse stream sequence into multiple pulse subsequences based on the anchor points; extracts features from the multiple pulse subsequences to obtain original features; reweights the original features to obtain features to be classified; predicts the signal pattern of the features to be classified to calculate the classification loss, and iteratively updates the model to obtain a target recognition model, which is then used to perform signal pattern recognition on the segmented multiple pulse subsequences. This invention addresses the problem that outliers in radar pulse stream sequences cause performance degradation in radar signal pattern recognition algorithms.