2002
DOI: 10.1109/tim.2002.803510
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Crest factor minimization in the frequency domain

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Cited by 14 publications
(8 citation statements)
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“…The frequency contributions due to the nonlinearities can be divided into two types -harmonic contribution generated from pairs of equal positive and negative frequency or another input frequency with pair of equal pair of frequency (Type I) and inter-harmonic contribution not accounted for by Type I contributions (Type II). Even order nonlinearities can be suppressed by considering only odd harmonics, as the nonlinear contributions of the even order effects will fall at even harmonics (Solomou et al, 2002). As a result they will be distinct from the linear contributions as well as higher odd order one.…”
Section: Distortion Due To Nonlinearitiesmentioning
confidence: 99%
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“…The frequency contributions due to the nonlinearities can be divided into two types -harmonic contribution generated from pairs of equal positive and negative frequency or another input frequency with pair of equal pair of frequency (Type I) and inter-harmonic contribution not accounted for by Type I contributions (Type II). Even order nonlinearities can be suppressed by considering only odd harmonics, as the nonlinear contributions of the even order effects will fall at even harmonics (Solomou et al, 2002). As a result they will be distinct from the linear contributions as well as higher odd order one.…”
Section: Distortion Due To Nonlinearitiesmentioning
confidence: 99%
“…Simulation produces some interesting results, which is presented in next section. In this paper we have used the same concept that (Solomou et al 2002) propose to minimize the CF. The main idea of this method is that to achieve CF minimization by selecting their relative harmonic phases to reduce the error introduced by a cubic nonlinearity.…”
Section: No Interfering Distortion Signal With Optimized Crest Factormentioning
confidence: 99%
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“…This question is particularly crucial in communications schemes based on Orthogonal Frequency Division Multiplexing (OFDM) and in data processing, where the amplification of strongly fluctuating signals results in severe intermodulation nonlinear distortion and spectral spreading [1]. Interestingly this simple problem is still open and no systematic optimal solution has been provided yet [2][3][4][5]. However it turns out that particular choices of the phases lead to relatively low peak factors: among them the Rudin-Shapiro phases enable small peak factors but in the specific case of 2 p frequency components [6,7].…”
mentioning
confidence: 99%
“…Time representation of one period of an example multisine − Phases of the tones: they are chosen to minimize the crest factor of the final multisine signal [8][9], to avoid problems related with the amplitude, as described in the previous item.…”
mentioning
confidence: 99%