• No results found

PSD Constrained PAR Reduction for DMT/OFDM

N/A
N/A
Protected

Academic year: 2020

Share "PSD Constrained PAR Reduction for DMT/OFDM"

Copied!
10
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 1: Addition of a PAR reduction signal, c[n], that counteractsthe peaks in x[n]
Figure 4: Symbol clip probability for 12 PAR reduction tones, cho-sen as a contiguous block of the highest tones
Figure 5: Symbol clip probability for PAR reduction with the 12highest tones. The PSD constraint allows 50% higher magnitudeper tone than in Figure 4
Figure 8 shows the performance when the PSD constraint isset to allow for a tone magnitude 50% higher than before.The reduction performance has increased thanks to more al-lowed power

References

Related documents

While Bayesian parameter estima- tion is a valuable tool, hypothesis testing via Bayesian model comparison can facilitate theory prediction by providing a measure of relative

Even a business organization is aware about the potential risk of natural disaster, an incorrect estimate of the volume of the loss and probability of occurrence may result in

(2011a) Evaluation of the feasibility and acceptability of an emotional wellbeing intervention for high school students: a qualitative study. (2011b) Young people’s preferences

The goal of this study was to research the influence of gender, age, years of service, education, working environ- ment (closed/open ward), differences per individual psy-

Low phase difference and high gain values at a low frequency band (0.06-0.12 Hz) indicate that cerebral artery blood flow velocity follows changes of arterial blood pressure

For the database, we selected the studies in which (1) children and adolescents (aged 6–18 years at initial trial enrolment) were included, (2) a primary diagnosis of current

CI: Confidence interval; COPD: Chronic obstructive pulmonary disease; eCRF: Electronic Care Report Forms; F-SozU: Social support questionnaire; GAF : Global Assessment Functioning;

As the extraction and evaluation of surfaces features not only relies on analysis algorithms but also measurement techniques, most of surface characterisation software