نتایج جستجو برای: power spectral density
تعداد نتایج: 994622 فیلتر نتایج به سال:
In this paper, we present an analysis for the noise due to finite word length effects for digital signal power processors using Welch’s power spectrum estimation technique to measure the power of Gaussian random signals over a frequency band of interest. The input of the digital signal processor contains a finite-length time interval in which the true Gaussian signal is contaminated by Gaussian...
Abstrac t -To meet the demanding expectations of the users, nowadays radio systems have to use the spectrum resource more intensely than in the past. Several studies have demonstrated that portions of radio spectrum are not in use for significant periods of time. Cognitive radios systems have been conceived to overcome this limit, enabling a flexible spectrum allocation, and making a more inten...
During recent years higher order statistics (HOS) have found a wide applicability in many diverse fields, e.g.: biomedicine, harmonic retrieval and adaptive filtering. In power spectrum estimation, the signal under consideration is processed in such a way, that the distribution of power among its frequency is estimated and phase relations between the frequency components are suppressed. Higher ...
In this paper, we present a novel approach for real-time multichannel speech enhancement in environments of non-stationary noise and time-varying acoustical transfer functions (ATFs). The proposed system integrates adaptive beamforming, ATF identification, soft signal detection, and multichannel postfiltering. The noise canceller branch of the beamformer and the ATF identification are adaptivel...
We describe an algorithm to estimate and track slow changes in power spectral density (PSD) of nonstationary pressure signals. The algorithm is based on a Kalman filter that adaptively generates an estimate of the autoregressive model parameters at each time instant. The algorithm exhibits superior PSD tracking performance in nonstationary pressure signals than classical nonparametric methodolo...
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