The proceedings contain 94 papers. The topics discussed include: influence of energy efficiency on location accuracy in systems using spatio- temporal signalprocessing;Jagerman approximation of erlang processes in on...
ISBN:
(纸本)9798331532635
The proceedings contain 94 papers. The topics discussed include: influence of energy efficiency on location accuracy in systems using spatio- temporal signalprocessing;Jagerman approximation of erlang processes in on-board computing systems models;quality of communication fiber-optic transmission systems using wave multiplexing technology;theoretical calculation of protective screen for base stations of cellular communication systems;improving the efficiency of adaptive operation of the decameter communication line;development of a method for assessing indicators of discrete control systems;the development of a respiration signal detecting algorithm exploiting cyclostationary properties;and modeling of multiservice traffic service process in a high-throughput satellite network.
Shape part segmentation is a critical task in computer graphics and robotics. However, traditional supervised methods rely heavily on large amounts of labeled data, which poses significant challenges in many real-worl...
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PyBlkSim is a block-based simulator developed for discrete-time simulations. PyBlkSim is useful for simulating a wide range of real-world discrete-time systems including systems belonging to signalprocessing and comm...
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This research paper presents the Advanced VLSI-Based Design of Multiple Path OTAs with Dual Flipped Voltage Follower for signalprocessing & Communication Applications, targeted for VLSI-based signalprocessing ca...
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Spoken language understanding (SLU) is a structure prediction task in the field of speech. Recently, many works on SLU that treat it as a sequence-to-sequence task have achieved great success. However, This method is ...
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We propose a novel method for interpreting neural networks, focusing on convolutional neural network-based receiver model. The method identifies which unit or units of the model contain most (or least) information abo...
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Accurate graph annotation typically requires substantial labeled data, which is often challenging and resource-intensive to obtain. In this paper, we present Crowdsourced Homophily Ties Based Graph Annotation via Larg...
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Efficient depth image reconstruction from sparse samples is crucial for machine perception applications, such as robotics, vehicle assistance and autonomy. It demands fast processing speed with low power consumption f...
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Current quantum generative adversarial networks (QGANs) still struggle with practical-sized data. First, many QGANs use principal component analysis (PCA) for dimension reduction, which, as our studies reveal, can dim...
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We consider the multiple hypothesis testing (MHT) problem over the joint domain formed by a graph and a measure space. On each sample point of this joint domain, we assign a hypothesis test and a corresponding p-value...
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