scholarly journals Interference cancellation: New configuration technique for cancellation of strong interferences from adjacent frequency bands.

2008 ◽  
Author(s):  
Hugo Cravo Gomes ◽  
Nuno Borges Carvalho
Keyword(s):  
Interference Cancellation ◽  
Frequency Bands

scholarly journals A High-Pass Antenna Interference Cancellation Chip for Mutual Coupling Reduction of Antennas in Contiguous Frequency Bands

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 38097-38105 ◽  
Author(s):  
Luyu Zhao ◽  
Feng Liu ◽  
Xiumei Shen ◽  
Guodong Jing ◽  
Yuan-Ming Cai ◽  
...  
Keyword(s):  
Interference Cancellation ◽  
Mutual Coupling ◽  
Frequency Bands ◽  
High Pass ◽  
Mutual Coupling Reduction

Decomposition of Fluctuating Photovoltaic Generation Power in Frequency Bands and Analysis of Chaotic Properties

2016 ◽  
Vol 136 (7) ◽  
pp. 621-627
Author(s):  
Akiko Takahashi ◽  
Akihiro Yamagata ◽  
Jun Imai ◽  
Shigeyuki Funabiki
Keyword(s):  
Photovoltaic Generation ◽  
Frequency Bands ◽  
Generation Power

Cooperation-Aware Topology Control for Wireless Ad Hoc Networks with Opportunistic Interference Cancellation

2012 ◽  
Vol E95.B (9) ◽  
pp. 3047-3051 ◽  
Author(s):  
Xin AO ◽  
F. Richard YU ◽  
Shengming JIANG ◽  
Quansheng GUAN ◽  
Gang WEI
Keyword(s):  
Ad Hoc Networks ◽  
Wireless Ad Hoc Networks ◽  
Interference Cancellation ◽  
Topology Control ◽  
Ad Hoc ◽  
Hoc Networks

Model for Estimating Effects of Human Body Shadowing in High Frequency Bands

2015 ◽  
Vol E98.B (5) ◽  
pp. 773-782 ◽  
Author(s):  
Ngochao TRAN ◽  
Tetsuro IMAI ◽  
Yukihiko OKUMURA
Keyword(s):  
Human Body ◽  
High Frequency ◽  
Frequency Bands

A Digital Correlation System for Preliminary Signal Processing in Multiplexed Frequency Bands

1997 ◽  
Vol 51 (6-7) ◽  
pp. 25-27
Author(s):  
V. N. Frankov ◽  
G. Y. Osokin ◽  
O. V. Gavrentiuk ◽  
A. I. Samokhvalov
Keyword(s):  
Signal Processing ◽  
Frequency Bands ◽  
Digital Correlation ◽  
Correlation System

COMPOUND FAULT DIAGNOSIS OF BEARINGS USING AN IMPROVED SPECTRAL KURTOSIS BY MAXIMUM CORRELATION KURTOSIS DECONVOLUTION (MCKD).

2020 ◽  
Vol 9 (8) ◽  
pp. 66-72
Keyword(s):  
Fault Diagnosis ◽  
Resonance Frequency ◽  
Background Noise ◽  
Maximum Correlation ◽  
Vibration Signals ◽  
Filter Length ◽  
Frequency Bands ◽  
Noise Interference ◽  
Spectral Kurtosis

This paper discusses the use of Maximum Correlation kurtosis deconvolution (MCKD) method as a pre-processor in fast spectral kurtosis (FSK) method in order to find the compound fault characteristics of the bearing, by enhancing the vibration signals. FSK only extracts the resonance bands which have maximum kurtosis value, but sometimes it might possible that faults occur in the resonance bands which has low kurtosis value, also the faulty signals missed due to noise interference. In order to overcome these limitations FSK used with MCKD, MCKD extracts various faults present in different resonance frequency bands; also detect the weak impact component, as MCKD also dealt with strong background noise. By obtaining the MCKD parameters like, filter length & deconvolution period, we can extract the compound fault feature characteristics.

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