Abstract— This paper proposes a new MIMO-OFDM precoding method that minimizes BER of the maximum likelihood detection (MLD). Conventional MIMO precoding methods can approximately...
We argue that parameterized complexity is a useful tool with which to study global constraints. In particular, we show that many global constraints which are intractable to propag...
Christian Bessiere, Emmanuel Hebrard, Brahim Hnich...
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Most common network protocols (e.g., the Internet Protocol) work with variable size packets, whereas contemporary switches still operate with fixed size cells, which are easier t...
By exploiting the Fourier series expansion, we have developed a new constructive method of automatically generating a multivariable fuzzy inference system from any given sample set...