Speaker Adaptation with an Exponential **Transform** Daniel Povey, Geoffrey Zweig, Alex Acero Microsoft Research, Microsoft, One Microsoft Way, Redmond, WA 98052, USA

IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 23, NO. 4, APRIL 2004 447 Improved Watershed **Transform** for Medical Image Segmentation Using Prior Information V. Grau*, A. U. J. Mewes, M. Alcañiz , Member, IEEE , R. Kikinis, and S. K. Warfield , Member, IEEE Abstract— The watershed **transform** has ...

Estuarine, Coastal and Shelf Science (2000), 51, 177-200 doi:10.1006/ecss.2000.0586, available online at http://www.idealibrary.comon An Introduction to Wavelet **Transform** Tidal Analysis Methods E. P. Flinchem a and D. A. Jay b,c a University of Washington, Geophysics Program, Box 351650, Seattle ...

Fourier **Transform** and Plancherel Theorem Oliver D´ıaz University of Texas at Austin Email: odiaz@math.utexas.edu September 27, 2000 Here we present the L

Analysis of general LRC circuits consider a circuit with nnodesandbb ranches, containing †independent sources †linear elements (resistors, op-amps, dep. sources, ...†inductors&capacitors

CHAPTER 2 THE DISCRETE WAVELET **TRANSFORM** 2.1 Introduction The **transform** of a signal is just another form of representing the signal. It does not change the information content present in the signal.

AFastFourier **Transform** Compiler Matteo Frigo MIT Laboratory for Computer Science 545 Technology Square NE43-203 Cambridge, MA 02139 February 16,1999 Abstract The FFTWlibrary for computing the discrete Fouriertrans-form (DFT) has gained a wide acceptance in both academia and industry, because it ...

On the Computation of the Discrete Log-Polar **Transform** Richard Alan Peters II Department of Electrical and Computer Engineering Vanderbilt University School of Engineering

Distance **Transforms** of Sampled Functions PedroF. Felzenszwalb DanielP. Huttenlocher The University of Chicago Cornell University pff@cs.uchicago. edu dph@cs.cornell.edu Keywords: Euclidean distance **transform**, Minimum convolution, Dynamic Programming.

The curvelet **transform** for image denoising - Image Processing, IEEE Transactions on