Zobrazeno 1 - 10
of 481
pro vyhledávání: '"spectral mask"'
Publikováno v:
Известия Томского политехнического университета: Инжиниринг георесурсов, Vol 325, Iss 5 (2019)
Relevance and the aim of the study. When developing the electronic devices it is important to calculate noise characteristics. While designing the communication systems the computation of receiving and transmitting tract is of particular importance t
Externí odkaz:
https://doaj.org/article/f8bb042b2f08416c843793bfb51479bc
Publikováno v:
Speech Communication. 136:1-13
Most of the current approaches for speech enhancement (SE) using deep neural network (DNN) face a number of limitations: they do not exploit information contained in the phase spectrum while their high computational complexity and memory requirements
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 5, Iss 2, Pp 19-26 (2013)
A deep spectrum sculpting is necessary to enable coexistence between a cognitive radio (CR) user and a licensed user which has low dynamic range and is susceptible to interferences. In this paper, we propose to use joint filter-bank based multicarrie
Externí odkaz:
https://doaj.org/article/211fcb02778948dfb39b6857be6e66bb
Autor:
Muhammad Shahmeer Omar, Xiaoli Ma
Publikováno v:
IEEE Wireless Communications Letters. 9:1990-1994
Orthogonal chirp division multiplexing (OCDM) is a spread spectrum technique that leverages the orthogonality of cyclically shifted linear chirp signals to maximize spectral efficiency. However, since each chirp spans the entire signal band, the only
Autor:
Michel Fattouche
Publikováno v:
IEEE Systems Journal. 14:4197-4208
An objective of this article is to design a novel communication system that is capable of offering substantial improvement in channel capacity compared to band-limited (BL) communication systems, when constrained by the same spectral mask. To this en
Autor:
Austin Egbert, Anthony F. Martone, Angelique Dockendorf, Kyle A. Gallagher, Dimitrios Peroulis, Charles Baylis, Ellie Langley, Abbas Semnani, Sarvin Rezayat, Ed Viveiros, Jose Alcala-Medel, Caleb Calabrese, Zach Hays
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 56:2762-2778
Dynamic spectrum allocation will require cognitive radar transmitters to change operating frequency and bandwidth in real time. This will require high-power reconfigurable circuitry to improve radar performance by simultaneously increasing 1) the out
Autor:
Dapeng Oliver Wu, Shan Wen, Guanghui Liu, Miao Tian, Jishun Guo, Huiyang Qu, Pan Zhou, Qiang Chen
Publikováno v:
IEEE Transactions on Communications. 68:3125-3139
Faster-than-Nyquist signaling (FTNS) is capable of improving the spectral efficiency (SE) of communication systems. However, for conventional single-carrier FTNS (SC-FTNS) in which only symbol interval is reduced, the increase of SE is very limited d
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 67:815-828
A high efficiency multi-mode class-E outphasing RF power amplifier (PA) with a passive combining circuit is presented. The multi-mode PA combines multiple class-E amplifier branches and can work in different configurations. The PA improves efficiency
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 28:914-928
The problem of blind audio source separation (BASS) in noisy and reverberant conditions is addressed by a novel approach, termed Global and LOcal Simplex Separation (GLOSS), which integrates full- and narrow-band simplex representations. We show that
Autor:
Saksham Goyal, Vinay Vasanth Patage, Sourabh Tiwari, Utkarsh Maheshwari, Piyush Goel, R. Annie Uthra
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811649424
Signal processing faces the quandary of not being able to separate non-stationary noise from speech signal. Traditional methodologies relied on spectral subtraction for the same; however, such techniques relied on approximation of spectral mask of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6623b85595c92db7036ca355c7687689
https://doi.org/10.1007/978-981-16-4943-1_34
https://doi.org/10.1007/978-981-16-4943-1_34