8 results about "Parallel channel" patented technology

The application provides a method for obtaining a multispectral image through single exposure, an endoscope system and electronic equipment. The method comprises the following steps: obtaining an original image within a single exposure time, wherein the original image is obtained by sequentially imaging a light signal on a main light path of the endoscope system through a lens array and a continuous variable filter; dividing the original image into a plurality of sub-images corresponding to different channels in the lens array, wherein different sub-images correspond to different wave bands and different channel response coefficients; and performing normalization correction on the corresponding sub-images according to the wave bands and the channel response coefficients, so as to eliminate the response difference between different channels and obtain a sequence image of multiple wave bands. Through multiple parallel channels, a plurality of sub-images with different spectral responses are obtained within a single exposure, and the rapid acquisition of multispectral information of an endoscope is realized.

The invention provides an article detection method based on feature enhancement and parallel channel attention. The method comprises the following steps: acquiring a millimeter wave image to be detected; sending the millimeter wave image into a filtering module, and carrying out regional feature enhancement and channel adjustment to obtain a feature-enhanced image; sending the image after feature enhancement to a backbone network, and performing feature extraction through dense residual blocks and jump connection to obtain a feature map; a parallel channel separation attention module is introduced between the backbone network and the feature pyramid network, decoupling feature enhancement of space and channel dimensions is carried out on the feature map, and an optimized fusion feature map is obtained; the optimized fusion feature map is sent to a feature pyramid network for feature aggregation, and aggregation feature information is obtained; and carrying out classification and bounding box positioning on articles with specific sizes by using the aggregation feature information through a detection output head to obtain a detection result. The method is used for solving the problem of inaccurate detection of objects with specific sizes.

This invention relates to the field of digital signal processing technology and discloses a multi-chip interconnect signal integrity collaborative optimization system, comprising: a spatial topology map extraction module, a protocol state parsing module, a compensation decision module, an equalization compensation module, a power supply decoupling optimization module, and a clock data recovery module. The system acquires a spatial topology map characterizing the physical parasitic parameters between controlled terminals, parses bus handshake signaling to generate a protocol state vector, matches prior distortion parameters based on this vector, and then maps the equalization compensation weight matrix and applies it to the clock data recovery stage. This invention utilizes bus protocol characteristics to drive the initial weight configuration of the decision feedback equalizer, achieving proactive feedforward compensation for transient crosstalk between parallel channels, eliminating the lag dependency of the physical layer compensation mechanism on bit error feedback, and ensuring signal synchronization stability during bus transaction switching.

The present application belongs to the technical field of image processing, and particularly relates to an artistic style transfer method and system based on frequency domain modulation and attention guidance, aiming at the difficulty of effectively separating content structure and style features in the prior art, which easily leads to structural damage or insufficient stylization of the generated results. The present application first initializes the strategy based on structure perception frequency domain modulation, effectively decouples content and style from the frequency domain; constructs a decoupling cross-attention mechanism, processes text, content and style features through parallel channels respectively, thereby avoiding feature interference while precisely regulating the generation process; and uses an attention-driven guidance mechanism to model the style transfer as an iterative optimization problem in the latent space, dynamically calibrates the feature distribution through gradient guidance, and effectively alleviates the feature dilution problem in the deep network.

This invention discloses a 3D point cloud reconstruction method based on attention-enhanced multi-scale feature fusion. First, a multi-view 2D image sequence is acquired as input, and multi-scale feature extraction is performed using a feature pyramid network. Then, a parallel channel-spatial attention mechanism is introduced into the feature extraction network to adaptively enhance key features and suppress noise. High- and low-level features are dynamically fused through adaptively gated multi-scale fusion blocks, and gated residual connections are introduced to ensure the stability of information flow. Multi-scale convolution is used to capture contextual information, and depth maps are predicted step-by-step through cost volume construction and regularization in a cascaded structure. Finally, a 3D point cloud model of the target scene is generated. This invention effectively solves the problem of feature matching difficulties in complex scenes such as weak textures or high reflectivity by using parallel attention and adaptive gated fusion mechanisms, significantly improving the accuracy and robustness of 3D reconstruction, and has good practical value.

Embodiments of the present application provide an information processing method and device of a smart phone system, a storage medium and a program product. In the embodiments of the present application, the recognized text information and its accumulated character number and meta information such as a silence event are input into three parallel channels of an emotion perception fast response channel, a local intention understanding pre-communication channel and a complete intention understanding service response channel; when the accumulated character number reaches different thresholds, emotion analysis and local fused intention recognition are triggered respectively, and corresponding response information is generated for response; when a silence event exceeding a set time length occurs, complete intention recognition is performed based on all the text information, and a target service system is called through a service routing engine to complete service processing and generate a response. The scheme realizes progressive response of the emotion layer, the semantic layer and the service layer, effectively eliminates call interaction delay and blank waiting period, and improves the real-time performance, continuity and user experience of telephone voice interaction.

This invention discloses a structured closed-loop verifiable ordinal deviation driving system, method, and medium operating under a fixed number of parallel channels. The system maps input data to an actual ordinal vector A and generates a theoretical reference vector T from seed states and rules. Two mirror-related deviation components D1 and D2 are constructed using a mirror operator M, and a deviation metric D is synthesized according to a hedging rule. The system further calculates the hierarchical closure degree and updates the next cycle parameter P(n+1) using a self-explanatory scheduling function F based on a stability window criterion, completing the closed-loop reconfiguration of mapping parameters and hardware resources (gating, sleep, and rhythm). The interface module supports a handshake protocol based on "deviation reachability," and the security module uses abnormal jumps in the deviation distribution as intrusion and tampering detection criteria. Without gradient training, its inference process is based on constraint satisfaction and consistency checks of the deviation convergence criterion. The output is determined by the closure degree and stability window criterion, constituting reproducible deterministic logical inference rather than statistical prediction based on probability distribution. Knowledge rules can be loaded into the channel array through lookup tables, ordinal positions, and impedance or weight configurations to achieve bias-converged logical reasoning output, and can be optionally applied to data compression and encryption authentication scenarios.

This invention relates to the field of capacitor production and testing equipment technology, and proposes a multi-channel fully automatic aging test and sorting machine for aluminum electrolytic capacitors. It includes a feeding assembly for receiving capacitors to be tested and conveying them one by one; and an aging sorting assembly connected to the feeding assembly for performing aging tests and sorting the capacitors. Through the arrangement of rotary guides and arc-shaped guides, a stepper motor drives the inner groove rotating frame and its radially distributed connecting frames to rotate along a circular path via transmission gears. Simultaneously, guide wheels are embedded in the continuously distributed arc-shaped guide grooves of the inner and outer arc-shaped guide plates to achieve trajectory constraint, forming a multi-channel parallel aging test channel. Each channel operates independently without interference, and the number of channels can be expanded as needed without being limited by the mechanical structure. This solves the problems of poor reliability, limited parallel channels, and unstable dynamic adsorption in the prior art.