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Structural Basis of Nucleosome Recognition and Modulation

BioEssays, 2020
AbstractChromatin structure and dynamics regulate key cellular processes such as DNA replication, transcription, repair, remodeling, and gene expression, wherein different protein factors interact with the nucleosomes. In these events, DNA and RNA polymerases, chromatin remodeling enzymes and transcription factors interact with nucleosomes, either in a
Rajivgandhi Sundaram, Dileep Vasudevan
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Combining neural networks for modulation recognition

Digital Signal Processing, 2022
Abstract This paper proposes a combined Convolutional Neural Network (CNN) scheme appropriate for automatic modulation recognition. The suggested network includes a deep network involving multiscale convolutions with an attention module for recognizing 24 modulation modes and a shallow one network for recognizing two modulation modes, aiming to ...
Fengyuan Shi 0004   +3 more
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Recognition of Digital Modulations

1996
In modern communication systems, digital modulation techniques rather than analogue ones are frequently used. So, the new trend is the digital modulation recognisers. Most of the digital modulation recognisers discussed in Chapter 1 utilise the pattern recognition approach such as [4], and [14].
Elsayed Elsayed Azzouz   +1 more
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Application of the modulation model to speech recognition

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992
A novel method of characterizing speech signals is presented in which the signal is modeled in terms of the mean radian frequency, the amplitude modulating function and the frequency modulating function of each frequency domain component (i.e., formants).
Adam B. Fineberg   +2 more
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Comparison of modulation features for phoneme recognition

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010
In this paper, we compare several approaches for the extraction of modulation frequency features from speech signal using a phoneme recognition system. The general framework in these approaches is to decompose the speech signal into a set of sub-bands.
Sriram Ganapathy   +2 more
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Recognition of Analogue Modulations

1996
The current trend in modern communication systems is the use of digital modulation types rather than the analogue ones. However, the analogue modulations are still in use especially in the third world countries. So, the aim of this chapter is to discuss some of the available analogue modulation recognisers and to introduce some quick and fast ...
Elsayed Elsayed Azzouz   +1 more
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STC and BLAST MIMO Modulation Recognition

IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference, 2007
In this paper, we investigate one of the MIMO classification problem: distinguishing Space Time Coding (STC) from BLAST schemes. With STC the transmitted signals are correlated in time, while with BLAST scheme the transmitted signals do not have such correlation, that is, the signal emitted from different antenna are uncorrelated.
Miao Shi, Yeheskel Bar-Ness, Wei Su 0001
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Collaborative modulation recognition based on SVM

2010 Sixth International Conference on Natural Computation, 2010
In this paper the method of recognizing signals modulated collaboratively by 2ASK, 4ASK, FSK, 2PSK 4PSK and OFDM is presented based on a hierarchical SVM algorithm with five characteristic parameters. Two nodes extract key features separately, and then sent to a center where the modulation types are recognized using the hierarchical SVM classifier ...
Xiaojie Gong, Li Bian, Qi Zhu
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An improved algorithm for PRI modulation recognition

2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2017
In modern electronic warfare, it is a severe challenge for the Electronic Support Measure (ESM) system to realize the recognition of the threat radiation source, the modulation of the pulse repetition interval (PRI) is closely related to the function and application of the radar radiation source.
Yanchao Liu, Qunying Zhang
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Normalization of Modulation Features for Speaker Recognition

2007 15th International Conference on Digital Signal Processing, 2007
features are emerging as a more recent alternative to more conventional magnitude-based features for speech processing applications such as speaker recognition. Frequency modulation (FM) based features are one such example and in this paper their normalization using feature warping is examined in detail.
Tharmarajah Thiruvaran   +2 more
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