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Due to the nonconvexity of the optimization problem, we propose suboptimum but practical signal processing schemes.
A non-linear trust-region algorithm is developed to fit the practical signal.
The authors believe that low oscillation complex wavelets have wide applicability to other practical signal analysis problems.
However, for a practical signal, Equation (2) is hard to solve due to the complexity of the signal autocorrelation.
To carry out next comparisons, the standard denoising method is used in concern to actual data (Figures 7 and 8) related to practical signal presented.
In this paper, we study the dynamics of spectrum sensing and spectrum allocation functions in cognitive radio context using very practical signal models for the primary users (PUs), including the effects of power amplifier nonlinearities.
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The potential for cochannel interference mitigation through such joint processing is explored from a practical signal-processing standpoint in [15].
Then, we try to modify the IA design in order to achieve enhanced sum-rate performance in the practical signal-to-noise ratio (SNR) region.
For the FBMC/OQAM single-link case, it was shown in [15] that equal symbols maximize this energy increase, offering an estimation performance superior to that of CP-OFDM for practical signal-to-noise ratio (SNR) values.
Monte Carlo simulations show that AGSSK significantly outperforms GSSK in terms of average bit error probability (ABEP) and, moreover, for medium to high rates and practical signal-to-noise ratio (SNR) regions AGSSK-TOSD outperforms well-known feedback-based multiple-antenna schemes.
Moreover, they are not implementable unless they are supportable by practical signaling.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com