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For the common transformations, tables are available that list many functions and their transforms.
Among the above, [43, 49], beyond estimation of phase parameters, have also used their transforms as joint TCR representations or distributions in the form of two-dimensional (2-D) images that display ICR curves of analyzed signals.
There are many applications in signal processing and communication systems where the discrete signals are sparse in some domain such as time, frequency, or space; i.e., most of the samples are zero, or alternatively, their transforms in another domain (normally called "frequency coefficients") are sparse (see Figures 1 and 2).
The single-cell information measure of Fig. 11a shows that almost all neurons convey the theoretical maximum 1 bit of information, meaning that they are perfectly able to distinguish between the two stimuli across all of their transforms.
The hypothesis tested is that the anti-phase oscillations generated by the learning in the plasticity of the input layer's lateral excitatory connections will allow the output neurons to learn to respond selectively to either one (but not both) of the two novel stimuli across most or all of their transforms.
Such a cell may transmit relatively little information about other, non-preferred stimuli (for example, by responding indiscriminately to a number of other stimuli or unevenly to their transforms) but will still be very useful if it conveys maximum information for one particular stimulus.
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Their pleasure in their transformed space has changed the way they live.
But these days, even Joplinites have trouble navigating their transformed city.
Consequently, the following statistic results are counted based on 50 original and their transformed images.
Figure 2 Two-dimensional stereo and three-dimensional VBAP signals and their transformed signals.
To better understand the genetic events required for aRMS formation, we then stepwise converted these cells to their transformed counterpart.
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