Sentence examples for maximum entropy state from inspiring English sources

From (14), we see that the uninformed encoder can achieve rates below though the channel has maximum entropy state.

In the case of maximum entropy state, can be decoded first with arbitrary low probability of error if satisfies (15) for and.

A converse proof for the above capacity region is given in Appendix A.2. Remarks (i) From (14), we see that the uninformed encoder can achieve rates below though the channel has maximum entropy state.

Moreover, the non equilibrium temperature is related to the entropy generation and its fluctuation rate; indeed, non-stationary temperature means that the system has not yet attained free energy minimum state, i.e., the maximum entropy state; the consequence is that the zero temperature state can be achieved only for an infinite work lost for dissipation or in an infinite time.

Then the bound on can be written as (17) If, we can achieve as if there were no state in the channel, though the maximum entropy binary state is present in the channel and the state is not known to the uninformed encoder.

In some special cases (binary channel with maximum entropy channel state, and Gaussian channel with large variance channel state subject to certain conditions on the signal powers), capacity regions are obtained.

Let us illustrate the case of maximum entropy binary state with numerical examples.

In this section, we also derive the capacity region of the binary noiseless MAC with maximum entropy channel state.

Figure 3 The capacity region of the binary noiseless MAC with maximum entropy binary state, that is,, and.

In the case of maximum entropy channel state, we obtain the capacity region for binary noiseless MAC with one informed encoder.

The maximum entropy principle states that an efficient estimate is the one that maximizes entropy (uncertainty) subject to our knowledge about the observation vectors.