The modern digital high speed wireless communication system demands quick convergence rate and low steady state error. The balancing between the demands can be achieved by opting step size. Thus, it is essential to de...
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The modern digital high speed wireless communication system demands quick convergence rate and low steady state error. The balancing between the demands can be achieved by opting step size. Thus, it is essential to define new algorithms to equalize channels and mitigate noise in communications. It is renowned that time varying step size blind equalization technique can speed up the convergence rate and minimize the misadjustment. This work presents a variable step size (VSS) approach based on godard blind equalization algorithm to resolve the conflict between the convergence rate and precision of the fixed step-size godard algorithm. The results of this projected approach is compared with the existing variable step size sato algorithm for a pulse amplitude modulated (PAM) input symbol.
We propose a modified godard algorithm to monitor receiver IQ skew and an adaptive timing recovery method operate at 1sample/symbol to monitor transmitter skew. Compared to traditional high-order MIMO schemes, the DSP...
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ISBN:
(纸本)9781665481557
We propose a modified godard algorithm to monitor receiver IQ skew and an adaptive timing recovery method operate at 1sample/symbol to monitor transmitter skew. Compared to traditional high-order MIMO schemes, the DSP complexity can be reduced at least 50%.
A critical assumption in applying godard CMA algorithm for blind deconvolution and equalization is the assumption of an independently distributed source. Almost all the applications in the literature have based their ...
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ISBN:
(纸本)9781424428991
A critical assumption in applying godard CMA algorithm for blind deconvolution and equalization is the assumption of an independently distributed source. Almost all the applications in the literature have based their implementations on this assumption. To our knowledge, no research has been done on the effect of source correlation on adaptive blind deblurring of images through CMA, and this paper addresses that gap, coming up with a novel model of addressing the source correlation problem in the image deblurring through CMA.
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