We propose several new detector schemes for non-coherent communication with a chaotic signal. To successfully decode the signal the detector needs to know only the chip timing and form of the dynamical system utilised by the encoder. We show that this method can be used to achieve bit error rates comparable to other non-coherent schemes. Moreover, our method also benefits from additional genera...

Introduction: Large-scale solar eruptive activities have a close relationship with coronal magnetic flux ropes. Previous numerical studies found that the equilibrium of rope system could be disrupted if axial exceeds critical value, so catastrophe occurs, initiating to erupt. Further discovered does not necessarily exist: The certain photospheric distributions non-catastrophic. It is noteworthy...

The optimal coding problem in two-user white Gaussianchannels with feedback is discussed. The messages are taken as Gauss-Markov processes. The optimal decoder pair and the optimal linear encoderpair are developed. A nonlinear class (additive feedback type) of encoderpairs in which the optimal linear encoder pair is optimal is presented.

A complexity management approach is proposed for an H.264 encoder running in a processor/power constrained environment. The objective is to maintain smooth video frame rate whilst ensuring that the frame quality is not degraded unacceptably. Subjective results show that the managed complexity encoder outperforms the normal encoder (where frames are dropped when processing power is limited) cons...

Matched decoding is a technique that enables the efficient maximum-likelihood sequence estimation of convolutionally encoded PAM-transmission over ISI-channels. Recently, we have shown that the super-trellis of encoder and channel can be described with significantly fewer states without loss in Euclidean distance, by introducing a non-linear representation of the trellis. This paper extends the...

We describe an attentive encoder that combines tree-structured recursive neural networks and sequential recurrent neural networks for modelling sentence pairs. Since existing attentive models exert attention on the sequential structure, we propose a way to incorporate attention into the tree topology. Specially, given a pair of sentences, our attentive encoder uses the representation of one sen...

We propose a low cost polymeric optical waveguides-based optical CDMA encoder and decoder modules. The structures of the optical CDMA encoder and decoder modules are presented. The performance of the optical CDMA encoder and decoder modules is simulated using 10-chip binary phase-shift keying (BPSK) coding schemes. The optical CDMA encoder and decoder modules can effectively transmit and recove...