Titlebook: Robust Signal Processing for Wireless Communications; Frank A. Dietrich Book 2008 Springer-Verlag Berlin Heidelberg 2008 Autocorrelation S

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Channel Estimation and Prediction,Estimation and prediction of the wireless channel is a very broad topic. In this chapter, we treat only a selection of important aspects and methods in more detail. To clarify their relation to other approaches in the literature we first give a general overview. It also addresses topics which we do not cover in the sequel.

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Linear Precoding with Partial Channel State Information,A wireless communication link from a transmitter with multiple antennas to multiple receivers, which are decentralized and cannot cooperate, is a (vector) . (BC) from the point of view of information theory. Such a point-to-multipoint scenario is also referred to as . in a cellular wireless communication system (Figure 4.1).

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Frank A. DietrichOptimization of signal processing tasks for wireless communications under realistic assumptions.Presents Important key application areas for signal processing in wireless communication

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Foundations in Signal Processing, Communications and Networkinghttp://image.papertrans.cn/r/image/831359.jpg

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Nonlinear Precoding with Partial Channel State Information,t antennas . [106]. Perhaps surprisingly, the sum capacity of the broadcast channel with non-cooperative receivers is asymptotically (high transmit power) identical to the capacity of the same channel, but with cooperating receivers (point-to-point multiple-input multiple-output (MIMO) channel).

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1863-8538 signal processing in wireless communication.Optimization of adaptive signal processing algorithms for wireless communications is based on a model of the underlying propagation channel. In practice, this model is never known perfectly. For example, its parameters have to be estimated and are only kn

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