We study density profiles of an ideal Fermi gas and observe Pauli suppression of density fluctuations (atom shot noise) for cold clouds deep in the quantum degenerate regime. Strong suppression is observed for probe volumes containing more than 10 000 atoms. Measuring the level of suppression provides sensitive thermometry at low temperatures. After this method of sensitive noise measurements h...

This paper presents a hybrid microphone array architecture used for processing the signals from a small microphone array that is used in a headset. The processing chain consists of fixed end-fire beamforming, adaptive spatial noise reduction and stationary noise suppression. The far-field design algorithm used for the fixed beamformer is adapted to the specifics of the headset by compensating f...

In mobile terminals speech quality is often degraded by acoustic echo and noise. Existing approaches to tackle these problems involves separated solutions. However, combined solution have been proposed recently. Low signal delay and reduced computational load are the main arguments in favor of joint noise and echo processing. Most such algorithms operate in the frequency domain. In recent works...

The amplitude of low-field nuclear magnetic resonance (NMR) is weak, and the echo is buried in the noise. The reduction of noise is critical to accurately extract echo amplitude. Phase correction-adaptive line enhancement (PC-ALE) is proposed to noise suppression based on the principle of ALE and NMR spin-echo characteristics. The echo amplitude is calculated after two-stage processes; phase sh...

To achieve high recognition performance for a wide variety of noise and for a wide range of signal-to-noise ratio, this paper presents methods for integration of four noise reduction algorithms: spectral subtraction with smoothing of time direction, temporal domain SVDbased speech enhancement, GMM-based speech estimation and KLT-based comb-filtering. In this paper, we proposed two types of comb...

To achieve high recognition performance for a wide variety of noise and for a wide range of signal-to-noise ratio, this paper presents integration methods of four noise reduction algorithms: spectral subtraction with smoothing of time direction, temporal domain SVD-based speech enhancement, GMM-based speech estimation and KLT-based comb-filtering. In this paper, we proposed two types of combina...

An original method to denoise ultrasonic images affected by speckle is presented. Speckle is modeled as a signal-dependent noise corrupting the image. Noise reduction is approached as a Wiener-like filtering performed in a shift-invariant wavelet domain by means of an adaptive rescaling of the coefficients of an undecimated octave decomposition. The scaling factor of each coefficient is calcula...