Energy Detection Based Estimation of Channel Occupancy Rate with Adaptive Noise Estimation

2012 ◽  
Vol E95-B (4) ◽  
pp. 1076-1084 ◽  
Author(s):  
Janne J. LEHTOMÄKI ◽  
Risto VUOHTONIEMI ◽  
Kenta UMEBAYASHI ◽  
Juha-Pekka MÄKELÄ
Keyword(s):  
Energy Detection ◽  
Noise Estimation ◽  
Occupancy Rate ◽  
Adaptive Noise ◽  
Channel Occupancy

scholarly journals Ultimate Precision of Adaptive Noise Estimation

2017 ◽  
Vol 118 (10) ◽  
Author(s):  
Stefano Pirandola ◽  
Cosmo Lupo
Keyword(s):  
Noise Estimation ◽  
Adaptive Noise

Adaptive noise estimation from highly textured hyperspectral images

2014 ◽  
Vol 53 (30) ◽  
pp. 7059 ◽  
Author(s):  
Peng Fu ◽  
Changyang Li ◽  
Yong Xia ◽  
Zexuan Ji ◽  
Quansen Sun ◽  
...  
Keyword(s):  
Noise Estimation ◽  
Hyperspectral Images ◽  
Adaptive Noise

scholarly journals Efficient image noise estimation based on skewness invariance and adaptive noise injection

2020 ◽  
Vol 14 (7) ◽  
pp. 1393-1401
Author(s):  
Ben Ma ◽  
Jincao Yao ◽  
Yanfen Le ◽  
Chuan Qin ◽  
Heng Yao
Keyword(s):  
Image Noise ◽  
Noise Estimation ◽  
Noise Injection ◽  
Adaptive Noise

scholarly journals A Research of Noise Estimation and Removal Techniques for Speech Signal

2019 ◽  
Vol 8 (2S3) ◽  
pp. 718-721
Keyword(s):  
Adaptive Filter ◽  
Speech Signal ◽  
Active Noise Control ◽  
Noise Cancellation ◽  
Noise Signal ◽  
Noise Estimation ◽  
Control Technique ◽  
Adaptive Noise Cancellation ◽  
Active Noise ◽  
Adaptive Noise

In this paper, authors made an attempt to implement the active noise control technique (ANC) to decrease the amplitude of noise communicating through the environment using an electro-acoustic (EA) system with the help of measurement sensors such as microphones and output actuators such as loudspeakers. In general, the noise signal is generated from ambient; therefore, it is easy to detect the noise in the vicinity of its source. The main objective of developing the ANC system is to generate an “anti-noise" that reduce the unwanted noise in a desired quiet region using an appropriate adaptive filter. The simulations were performed in the MATLAB 2015 environment and satisfactory results were obtained using the proposed technique. The problem under study is different from traditional adaptive noise cancellation techniques in two ways. Firstly, it is not possible to measure the desired response of a signal directly measured; only the signal with reduced magnitude is present. Secondly, the ANC system is required to take into consideration the secondary loudspeaker-to-microphone error (LME) path in its adaptation.

Adaptive noise estimation algorithm for speech enhancement

2003 ◽  
Vol 39 (9) ◽  
pp. 754 ◽  
Author(s):  
L. Lin ◽  
W.H. Holmes ◽  
E. Ambikairajah
Keyword(s):  
Speech Enhancement ◽  
Estimation Algorithm ◽  
Noise Estimation ◽  
Adaptive Noise
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