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For large neuron numbers N and expected peak spike counts f max τ the resolution of asymptotically efficient decoders, like the maximum likelihood decoder, or the minimum mean square estimator, can indeed attain the resolution bound given by the FI (Seung and Sompolinsky, 1993; Bethge et al., 2002; Mathis et al., 2013).
A maximum likelihood decoder based on the sphere decoder has been used for efficient decoding of perfect STBCs.
With maximum likelihood decoder, the decision rule is (8).
The signal in (16) is then fed into a maximum likelihood decoder to recover the transmitted symbols.
Then, the combined signals are sent to maximum likelihood decoder which can give out the source bits x1 and x2.
Similarly, all typical errors that, for instance, a Maximum likelihood decoder makes are radially symmetrically distributed around the true value.
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The modulation mode is set 4-QAM and the maximum-likelihood decoder is applied for each subcarrier at the destination terminal.
We shall, as usual, decode the BCH codes using bounded distance decoding, i.e. correct up to t(s) errors, whereas a maximum-likelihood decoder would have been more powerful.
In calculating the likelihood function here, we assumed that the maximum-likelihood decoder was unaware that the elevated activity was not sensory driven.
At the decoding process, the downlink user uses joint maximum likelihood (ML) decoder to decode both downlink message and uplink messages with the help of side channel.
Consequently, a maximum likelihood (ML) decoder with high decoding efficiency on tail-biting trellises is important and desirable for studying tail-biting codes.
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