Add to ORKGA novel technique estimating ASE and non-linear SNR is presented. Our method is evaluated by simulations obtaining a std error of 0.23 dB for both ASE and non-linear SNR
In many applications, very fast methods are required for estimating and measurement of parameters of...
In many applications, very fast methods are required for estimating and measurement of parameters of...
In this paper a review of architectures suitable for nonlinear real-time audio signal processing is ...
A novel technique estimating ASE and non-linear SNR is presented. Our method is evaluated by simulat...
A novel technique estimating ASE and non-linear SNR is presented. Our method is evaluated by simulat...
Operators are pressured to maximize the achieved capacity over deployed links. This can be obtained ...
Abstract—A blind approach for estimating the signal to noise ratio (SNR) of a speech signal corrupte...
The signal-to-noise ratio (SNR) is a commonly used measure of system fidelity estimated as the ratio...
The increase in capacity provided by coupled space division multiplexing (SDM) systems is fundamenta...
In many applications, very fast methods are required for estimating and measurement of parameters of...
We propose a neural network model for MDG and optical SNR estimation in SDM transmission. We show th...
The spectral envelope is mainly determined by the shape of vocal tract and it is generally represent...
We propose a neural network model for MDG and optical SNR estimation in SDM transmission. We show th...
We propose a neural network model for MDG and optical SNR estimation in SDM transmission. We show th...
The increase in capacity provided by coupled space division multiplexing (SDM) systems is fundamenta...
In many applications, very fast methods are required for estimating and measurement of parameters of...
In many applications, very fast methods are required for estimating and measurement of parameters of...
In this paper a review of architectures suitable for nonlinear real-time audio signal processing is ...
A novel technique estimating ASE and non-linear SNR is presented. Our method is evaluated by simulat...
A novel technique estimating ASE and non-linear SNR is presented. Our method is evaluated by simulat...
Operators are pressured to maximize the achieved capacity over deployed links. This can be obtained ...
Abstract—A blind approach for estimating the signal to noise ratio (SNR) of a speech signal corrupte...
The signal-to-noise ratio (SNR) is a commonly used measure of system fidelity estimated as the ratio...
The increase in capacity provided by coupled space division multiplexing (SDM) systems is fundamenta...
In many applications, very fast methods are required for estimating and measurement of parameters of...
We propose a neural network model for MDG and optical SNR estimation in SDM transmission. We show th...
The spectral envelope is mainly determined by the shape of vocal tract and it is generally represent...
We propose a neural network model for MDG and optical SNR estimation in SDM transmission. We show th...
We propose a neural network model for MDG and optical SNR estimation in SDM transmission. We show th...
The increase in capacity provided by coupled space division multiplexing (SDM) systems is fundamenta...
In many applications, very fast methods are required for estimating and measurement of parameters of...
In many applications, very fast methods are required for estimating and measurement of parameters of...
In this paper a review of architectures suitable for nonlinear real-time audio signal processing is ...