Your English writing platform
Free sign upSuggestions(5)
Exact(10)
However, there is as yet no efficient method for blind BWE of audio signals.
In this paper, we propose an adaptive method for blind separation of convolutively mixed sources.
In [4], we developed a method for blind recovery of a rate k/n convolutional encoder in turbocode configuration.
In [6, 11], a dual code method for blind identification of k/n-rate convolutional codes is proposed for cognitive radio receivers.
It required time to be recognized and to be implemented as a reading and writing method for blind people throughout the world.
ICA is a useful method for blind source separation and is considered as an extension of PCA that can only make use of the second order statistical characteristics of the source (Comon 1994).
Similar(50)
Earlier, we mentioned the methods for blind evaluation of noise variance which are accurate enough.
The authors of [9, 10] develop methods for blind recovery of convolutional encoder in turbo code configuration.
Normalized mean square error (NMSE) versus the SNR for SIMO system with two sensors and T=1024: performance comparison between CCA based methods for blind channel identification.
There is an essential interest in design and testing the methods for blind estimation of mixed noise parameters [9, 12, 15, 16, 21, 22].
This motivates a design of more accurate methods for blind estimation including analysis of dependences between the estimates of components of the mixed noise.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com