This paper addresses the most relevant aspects of lossy image coding techniques, and presents an evaluation study on this subject, using several transforms and different methods in the transform domain. We developed different transform based image coders/decoders (codecs) using different transforms, such as the discrete cosine transform, the discrete wavelet transform and the S transform. Besid...

TUFEKCI, z., and GOWDY, J.N.: ‘Feature extraction using discrete wavelet transform for speech recognition’. Proc. IEEE Southeastcon 2000, Nashville, USA, 2000, pp. 116-123 FAROOQ, o., and DATTA, s.: ‘Dynamic feature extraction by wavelet analysis’. Proc. 6th Int. Conf. Spoken Language Processing, Beijing, China, Oct. 2000, Vol. 4, pp. 696-699 CHANG, s., KWON, Y . , and YANG, S I . : ‘Speech fea...

Introduction Wavelets and Wavelet transforms have been one of the most important developments in image analysis over the last decade especially for applications such as data com pression segmentation and vision The wavelet transform WT has been described in a num ber of di erent ways by various authors It can be described as a modi cation of the short time Fourier transform the decomposition of...

corrosion of reinforcing steel and other embedded metals is the main cause of severe deterioration in reinforced concrete structures which subsequently imposes adverse effects on ultimate and serviceability limit state performance of the whole structure. in this paper, a new corrosion detection method for reinforced concrete beams, based on wavelet analysis is presented. to evaluate the capabil...

Let sk (k = 1, . . . , K) denote the locations of theK = 17 temperature series. At each location k we observe M(sk) temperature values z(sk) = (z1(sk), . . . , zM(sk)(sk)) T drawn from the M(sk)-variate random vector (RV) Z(s). Suppose at location k that these observations correspond to times Tt(sk), for t = 1, . . . ,M(sk). Since all sampling in the MCMC algorithm is performed on the wavelet d...

the idea of this paper is designing an automatic fault detection system based on fuzzy logic, therefore two signals of pmsm in fault condition are analyzed for inter turn fault detection: current and torque. in this fault type there is some distortion in these signals, but it is not good enough to detecting with fuzzy logic solely, so with combination of wavelet transform and fcm a new method f...