Neural Computation of Capacity Region of Memoryless ...

Neural Computation of Capacity Region of Memoryless Multiple ...

Title:Neural Computation of Capacity Region of Memoryless Multiple Access Channels ... Abstract:This paper provides a numerical framework for ...

Neural Computation of Capacity Region of Memoryless Multiple ...

Neural Computation of Capacity Region of. Memoryless Multiple Access Channels. Farhad Mirkarimi and Nariman Farsad,. Ryerson University, Toronto, Canada.

Neural Computation of Capacity Region of Memoryless Multiple ...

PDF | On Jul 12, 2021, Farhad Mirkarimi and others published Neural Computation of Capacity Region of Memoryless Multiple Access Channels | Find, ...

Neural Computation of Capacity Region of Memoryless Multiple ...

Wolf, “The capacity region of a multiple-access discrete memoryless channel can increase with feedback (corresp.),” IEEE Transactions on ...

Neural Computation of Capacity Region of Memoryless Multiple ...

This paper provides a numerical framework for computing the achievable rate region of memoryless multiple access channel (MAC) with a continuous alphabet ...

Neural Computation of Capacity Region of Memoryless ... - dblp

Bibliographic details on Neural Computation of Capacity Region of Memoryless Multiple Access Channels.

Farhad Mirkarimi - Semantic Scholar

Neural Computation of Capacity Region of Memoryless Multiple Access Channels · Farhad MirkarimiN. Farsad. Computer Science, Mathematics. International Symposium ...

The optimal sum rate I(X, Y ; Z) for AWGN MAC. - ResearchGate

from publication: Neural Computation of Capacity Region of Memoryless Multiple Access Channels | This paper provides a numerical framework for computing the ...

On the computation of the capacity region of the discrete MAC

The computation of the channel capacity of discrete memoryless channels is a convex problem that can be efficiently solved using the Arimoto-Blahut (AB) ...

A Perspective on Neural Capacity Estimation: Viability & Reliability

Despite all these results, numerical computation of the capacity region of the arbitrary memoryless MAC has proved to be challenging [16].

A generalized Blahut-Arimoto algorithm | Semantic Scholar

The Arimoto-Blahut algorithm for computing the capacity of a discrete memoryless channel is revisited. ... Neural Computation of Capacity Region of Memoryless ...

A generalized approach to estimation of memoryless covert channel ...

Having a model for the covert channels enables calculation of leakage capacity because leakage capacity corresponds to channel capacity of the model. In ...

On the separation of correlation-assisted sum capacities of multiple ...

... computing the capacity region of a MAC. Subsequently, the sum capacity ... Farsad, “Neural computation of capacity region of memoryless multiple access ...

Capacity-driven end-to-end learning approach for NOMA with finite ...

Neural computation of capacity region of memoryless multiple access channels. FritschekRick et al. Neural mutual information estimation for channel coding ...

Capacity results for the discrete memoryless network - IEEE Xplore

A sequence of inner bounds to the DMN capacity region is derived by using code trees. ... Numerical computations show that the last technique enlarges the best ...

Hands-on reservoir computing: a tutorial for practical implementation

The memory capacity of a reservoir has been analyzed for linear neurons in ... neural computation based on perturbations Neural Comput. 14 2531–60. Go ...

On the Discrete-Input Continuous-Output Memoryless Channel ...

According to Shannon's formula, the CCMC capacity consti- tutes a loose upper bound of a system's throughput, because it is only dependent on the system's ...

Capacity of a Single Spiking Neuron Channel - MIT Press Direct

... region Re z > 0. This region includes positive real line ⁠, and. formula. 3.8. is implied. The proof (see section C.2) is completed by deriving ...

Capacity results for the discrete memoryless network - Information ...

Numerical computations show that the last technique enlarges the best known rate regions for a multiple-access channel (MAC) and a BC, both with feedback. In.

What Makes a Brain Smart? Reservoir Computing as an Approach ...

Different brain areas are characterized by different neural circuitry, and some be- ... We ex- amine memory and computational capacity and its link to ...