An FPGA implementation efficient equalizer for ISI removal in wireless applications

Kaur, Chanpreet; Mehra, Rajesh

doi:10.1109/interact.2010.5706208

Cited by 2 publications

(1 citation statement)

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“…The algorithm used in equalization is LMS and is known for its simplification, low complexity and better performance in different running environments [6]. Further symmetric approach can be employed to reduce the complexity with partial serial MAC based approach to optimize speed and area [7]. Fractionally spaced equalizer (FSE) can be used to compensate for channel distortion before aliasing effects occur due to symbol rate sampling.…”

Section: Adaptive Filtering Algorithmmentioning

confidence: 99%

Matlab Based Design of Adaptive Filters Using Least Pth Norm: FIR vs IIR

Chaudhary¹

2014

IJSPS

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Adaptive filters are considered nonlinear systems; therefore their behavior analysis is more complicated than for fixed filters. As adaptive filters are self designing filters, their design can be considered less involved than in the case of digital filters with fixed coefficients. The paper discusses adaptive filters, adaptive filtering with various approaches, optimization methods, algorithms for a filter, IIR and FIR filter designs, in order to improve a prescribed performance criterion. Further least Pth norm approach is compared for both FIR and IIR filter. Since no specifications are available, the adaptive algorithm that determines the updating of the filter coefficients requires extra information that is usually given in the form of a signal. This signal is in general called a desired or reference signal, whose choice depends on the application. 

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Section: Adaptive Filtering Algorithmmentioning

confidence: 99%