Using Derivatives of Second Generating Function for Underdetermined Blind Identification
Sign Up to like & getrecommendations! Published in 2020 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-020-01385-y
Abstract: In this paper, we propose a new family of algorithms for underdetermined blind identification based on the second generating function (SGF). For the real case, the proposed algorithm first takes advantage of the partial derivatives… read more here.
Keywords: blind identification; generating function; underdetermined blind; second generating ... See more keywords
Research on Blind Identification Method of Error Correcting Code Type
Sign Up to like & getrecommendations! Published in 2017 at "Wireless Personal Communications"
DOI: 10.1007/s11277-017-4469-8
Abstract: Based on the distribution of run feature and rank difference feature of coding sequence, this paper proposed a method to identify the type of common coding sequence. Using the concept of run distribution in combination… read more here.
Keywords: research blind; blind identification; method; identification method ... See more keywords
On using the Hilbert transform for blind identification of complex modes: A practical approach
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Sound and Vibration"
DOI: 10.1016/j.jsv.2017.09.017
Abstract: Abstract The modal identification of dynamical systems under operational conditions, when subjected to wide-band unmeasured excitations, is today a viable alternative to more traditional modal identification approaches based on processing sets of measured FRFs or… read more here.
Keywords: modal identification; using hilbert; complex modes; blind identification ... See more keywords
Radio Frequency Fingerprint Collaborative Intelligent Blind Identification for Green Radios
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Green Communications and Networking"
DOI: 10.1109/tgcn.2022.3185045
Abstract: Radio frequency fingerprint identification (RFFI) technology identifies the emitter by extracting one or more unintentional features of the signal from the emitter. To solve the problem that the traditional deep learning network is not highly… read more here.
Keywords: identification; frequency fingerprint; radio frequency; green radios ... See more keywords
Blind Identification of Graph Filters
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DOI: 10.1109/tsp.2016.2628343
Abstract: Network processes are often represented as signals defined on the vertices of a graph. To untangle the latent structure of such signals, one can view them as outputs of linear graph filters modeling underlying network… read more here.
Keywords: blind identification; identification graph; graph; filter ... See more keywords
Blind Identification of Block Interleaved Convolution Code Parameters
Sign Up to like & getrecommendations! Published in 2019 at "Defence Science Journal"
DOI: 10.14429/dsj.69.13370
Abstract: Most of the digital communication system uses forward error correction (FEC) in addition with interleaver to achieve reliable communication over a noisy channel. To get useful information from intercepted data, in non-cooperative context, it is… read more here.
Keywords: block interleaved; identification block; code; blind identification ... See more keywords