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Blind Detection In Channels With Intersymbol Interference, Raafat Edward Kamel
Blind Detection In Channels With Intersymbol Interference, Raafat Edward Kamel
Dissertations
In high speed digital transmission over bandlimited channels, one of the principal impairments, besides additive white Gaussian noise, is intersymbol interference. For unknown channels, adaptive equalization is used to mitigate the interference. Different types of equalizers were proposed in the literature such as linear, decision feedback equalizers and maximum likelihood sequence estimation. The transmitter embeds sequences with the data regularly to help the equalizer adapt to the unknown channel parameters.
It is not always appropriate or feasible to send training sequences; in such cases, self adaptive or blind equalizers are used. The past ten years have witnessed an interest in …
On Generalized Adaptive Neural Filter, Zhiqiang Zhang
On Generalized Adaptive Neural Filter, Zhiqiang Zhang
Dissertations
Linear filters have historically been used in the past as the most useful tools for suppressing noise in signal processing. It has been shown that the optimal filter which minimizes the mean square error (MSE) between the filter output and the desired output is a linear filter provided that the noise is additive white Gaussian noise (AWGN). However, in most signal processing applications, the noise in the channel through which a signal is transmitted is not AWGN; it is not stationary, and it may have unknown characteristics.
To overcome the shortcomings of linear filters, nonlinear filters ranging from the median …