Hemlata Sinha ,G.R.Sinha, " Performance of Linear Block Coding for Multipath Fading Channel" I.J. Information Technology and Computer Science, July 2012.HemlataSinha and G.R.Sinha, "Performance of Linear Block Coding for Multipath Fading Channel" I.J. Information Technology and Computer Science...
binary matrix such that each codeword c can be written in the form where u is the binary data sequence of length k (the encoder input). Obviously, the all-0 sequence of length n is always a codeword of an ( n, k) linear block code. Matlab Coding % MATLAB scriptforIllustrative Probl...
In this paper a Combined Coding and Modulation (CCM) technique employing Linear Block Codes (LBC) and Multi-Phase Shift Keying (MPSK) modulation is proposed. The encoded data from the LBC are used to modulate signals that are phase variant. The trellis structure of the LBC in the proposed ...
N et 1Ⅳ0rk cOdin2 based o n linear block cOd es T here are many w ay s 。such as rand Om netwOr k coding and linear b10ck cOdes . w hich can be used fbr the mu16 .sOurce netw Ork cOding at R N. In tllis paper .we cOnsid er me relaV ...
Linear block codes can be decoded using either soft-decision decoding or hard-decision decoding. In a hard-decision decoding scheme, first a bit-by-bit decision is made on the components of the codeword, and then, with a minimum Hamming distance criterion, ...
What is taxonomy in computer science? How is coding done in content analysis? How is big data related to business intelligence? What is a neural network in artificial intelligence? How is artificial intelligence programmed? Why do digital computers use binary numbers for their operation?
2 and in “Linear vs. nonlinear interference in the scattering block,” we will show how the introduction of nonlinearity increases the computational ability of the device. The spin-wave scatterer becomes a true neural network, exploiting nonlinearity to exceed the performance of linear classifiers....
Residual blocks connect the beginning and end of a convolutional block with a skip connection. By adding these two states the network has the opportunity of accessing earlier activations that weren’t modified in the convolutional block. This approach turned out to be essential in order to build ...
Quantum networks will allow to implement communication tasks beyond the reach of their classical counterparts. A pressing and necessary issue for the design of quantum network protocols is the quantification of the rates at which these tasks can be perfo
A new random linear network coding scheme for reliable communications for time division duplexing channels is proposed. The setup assumes a packet erasure channel and that nodes can