This paper contains results on the modeling of atmospheric scintillation for optical links. Due to the short wavelength at optical frequencies, the spatial dispersion causes significant signal degradation in addition to temporal scintillation. The overall effects can only be accounted for in an integrated space-time scintillation model. The objective of this paper is to derive a working model for designing and planning of free space optical (FSO) links and networks.
The purpose of this paper is to show the dramatic increase in data throughput and spectral efficiency by applying integrated design of bandwidth efficient space-time modulation and space-time coding to guided optical transmission system. The first section introduces the basic design of a space-time fiber-optics system. This is followed by a detailed description on the design and operation of bandwidth efficient waveforms, space-time modulation, spacetime error correction code and signal equalization. Implementation, deployment strategy and performance issues are covered last.
With limited available radio frequency spectrum for broadband wireless services, it is essential to explore new bandwidth efficient waveforms with robust error correction code. While the Shannon's theory of high-speed digital communications in the time domain is known, there has been little progress to utilize additional dimensions in the spatial domain as information carriers. In this paper, a true space-time wireless system based on novel ideas in space-time modulation and coding technology is introduced. The advantages of this new technology include enhanced spectral efficiency with more channels to support larger number of subscribers and higher data rate for near real-time multimedia applications. The degree of success in achieving these objectives will not only affect the system performance, but will directly impact the profit of a commercial wireless company.
The brain can perform the tasks of associative recall detection recognition and optimization. In this paper space-time system field models of the brain are introduced. They are called the space-time maximum likelihood associative memory system (ST-ML-AMS) and the space-time adaptive learning system (ST-ALS). Performance of the system is analyzed using the probability of error in memory recall (PEMR) and the space-time neural capacity (ST-NC). 1.
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