An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation [PDF]
IEEE Communications Letters, 2021 Automatic modulation recognition (AMR) is a promising technology for intelligent communication receivers to detect signal modulation schemes. Recently, the emerging deep learning (DL) research has facilitated high-performance DL-AMR approaches.
Fu Zhang +3 more
semanticscholar +1 more source
IEEE Journal of Translational Engineering in Health and Medicine, 2022 Objective: Vectorcardiography (VCG) as an alternative form of ECG provides important spatial information about the electrical activity of the heart.
Jaroslav Vondrak, Marek Penhakert
doaj +1 more source
Secret-to-Image Reversible Transformation for Generative Steganography [PDF]
IEEE Transactions on Dependable and Secure Computing, 2022 Recently, generative steganography that transforms secret information to a generated image has been a promising technique to resist steganalysis detection.
Zhili Zhou +6 more
semanticscholar +1 more source
Transformation invariance in hand shape recognition [PDF]
, 2006 In hand shape recognition, transformation invariance is key for successful recognition. We propose a system that is invariant to small scale, translation and shape variations.
Coogan, Thomas, Sutherland, Alistair
core +1 more source
Review on the prediction of residual stress in welded steel components [PDF]
, 2020 Residual stress after welding has negative effects on the service life of welded steel components or structures. This work reviews three most commonly used methods for predicting residual stress, namely, empirical, semi-empirical and process simulation ...
Abdel Wahab, Magd +2 more
core +1 more source
Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding [PDF]
Computer Vision and Pattern Recognition, 2021 In this paper, we present a novel unpaired point cloud completion network, named Cycle4Completion, to infer the complete geometries from a partial 3D object.
Xin Wen +5 more
semanticscholar +1 more source
Grey Time Power Model with Caputo Fractional Derivative
Fractal and Fractional, 2023 In this paper, the inverse cumulative grey time power model with a Caputo fractional derivative is established, and the solution to the whitening equation is given by the Laplace transform.
Pan Hu, Chuan-Yun Gu
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WTLS iterative algorithm of 3D similarity coordinate transformation based on Gibbs vectors
Earth, Planets and Space, 2020 The 3D similarity coordinate transformation is fundamental and frequently encountered in many areas of work such as geodesy, engineering surveying, LIDAR, terrestrial laser scanning, photogrammetry, machine vision, etc.
Huaien Zeng +3 more
doaj +1 more source
GAN-based Style Transformation to Improve Gesture-recognition Accuracy
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 2020 Gesture recognition and human-activity recognition from multi-channel sensory data are important tasks in wearable and ubiquitous computing. In these tasks, increasing both the number of recognizable activity classes and the recognition accuracy is ...
Noeru Suzuki, Yuki Watanabe, A. Nakazawa
semanticscholar +1 more source
Grid Model for High-accuracy Coordinate Transformation of China Geodetic Coordinate System 2000 [PDF]
Journal of Geodesy and Geoinformation Science, 2019 After implementing CGCS2000, establishing grid models for high-accuracy coordinate transformation which are mainly used to transform border lines and coordinate grids of topographic maps becomes an important issue in mapping applications. Consequently, a
Zhiping LU,Ziqing WEI,Jun LI,Chong GUO
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