Abstract: Publication date: Oct 2016 Source:Advances in Signal Processing Volume 4 Number 2 Sanjay Chakraborty Sambit Halder and Shamik Kundu Clustering is a powerful tool which has been used in several applications (such as, fraud detection, pattern matching etc.). It is known to all that quantum counterpart is more superior to classical one on some specific areas. Quantum computation can solve certain problems much faster than classical computation. This paper mainly proposes a quantum circuit to cluster a given set of points with respect to pre-defined points. It uses binary quantum logic and superpositions principle of quantum mechanics. This proposed approach is a collaboration of data mining techniques with quantum computation. Very few works have been done in this area. In this paper, some of the previous works are also analyzed on the idea of applying quantum concept to the classical approach of clustering algorithms. PubDate: Oct 2016

Abstract: Publication date: Apr 2016 Source:Advances in Signal Processing Volume 4 Number 1 Denny Hermawato and Hastuadi Harsa Reverberation time measurement is used in building acoustic analysis and determination of acoustic characteristic of a material such as sound transmission loss and sound absorption index. This process measures the time needed for sound to decay 60 dB since the steady sound in the room is switched off. Usually, the reverberation time is estimated from sound decay curve. In the real reverberation time measurement, the smooth sound decay curve is hard to find because the original sound wave combines with reflection sound wave. In this paper, two level Daubechies wavelet transform is performed to filter noise in the sound decay. The applied wavelet thresholding successfully filtered out the maximum and minimum peak in the sound decay curve, therefore the estimation of reverberation time can be done more accurately in high and low frequency region. PubDate: Apr 2016