Your English writing platform
Discover LudwigExact(56)
We removed eyeblinks and muscle artifacts with signal space projection59.
Representations of signal waveforms: sampling, orthonormal expansions, waveforms as vectors in signal space.
We first present the relationship between the signal space and basis functions, and then find the basis function yielding the largest signal space.
The MUTP exploits the signal space of the entire active user's channel state information (CSI).
We show that the answer is affirmative when each agent's signal space is finite and show by example that common learning can fail when observations come from a countably infinite signal space.
In contrast, if the agents' observations come from a countably infinite signal space, then this contraction mapping property fails.
We consider here the problem of redesigning an existing VQ for some transformed or repartitioned signal space.
Similar(4)
Uusitalo, M. A. & Ilmoniemi, R. J. Signal-space projection method for separating MEG or EEG into components.
The model employs a bit-interleaved coded modulation (BICM) with convolutional code and QPSK signal-space mapper.
Finally, the activities of four ECDs were estimated for each condition (tonic, submediant and supertonic) by the signal-space projection method [35] implemented in BESA.
Such methods include signal-space projection, independent component analysis, modeling of sources and artifacts etc.
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