discrete wavelet transform based selection

... 191085, 7 pages doi:10.1155/2010/191085 Research Article Eigenvectors of the Discrete Fourier Transform Based on the Bilinear Transform Ahmet Serbes and Lutfiye Durak-Ata (EURASIP Member) Department ... definition of the discrete fractional Fourier transform. In this work, we disclose eigenvectors of the DFT matrix inspired by the ideas behind bilinear transform. The bilinear transform maps the ... discrete fractional Fourier transform, ” IEEE Transactions on Signal Processing, vol. 48, no. 5, pp. 1329–1337, 2000. [7] S C. Pei, W L. Hsue, and J J. Ding, Discrete fractional Fourier transform based on new...

Ngày tải lên: 21/06/2014, 16:20

... for ultra wideband signals based on the phase difference between the discrete Fourier transforms (DFT) of the transmitted and received signals. The first estimator is based on the slope of the ... maximum likelihood esti mator (MLE), the energy -based estimators, the auto- correlation -based estimators, the threshold -based esti- mators, and others are based on the time domain [2-10]. The drawback ... RESEARCH Open Access Discrete fourier transform- based TOA estimation in UWB systems Achraf Mallat 1* , Jérôme Louveaux 1 , Luc Vandendorpe 1 ,...

Ngày tải lên: 21/06/2014, 17:20

... memory require- ment. Complex wavelet transforms provide a satisfactory alternative to this problem. 3. COMPLEX WAVELET TRANSFORM 3.1. Dual-tree complex wavelet transform One of the most promising ... study complex wavelets for the face recognition problem. Specifically, we employ the recently developed dual-tree complex wavelet transform and a new single-tree complex wavelet transform with ... designed wavelets and the recently developed dual-tree complex wavelets for the face recognition problem. The resulting complex wavelet- based feature vectors are as discriminating as the Gabor wavelet derived...

Ngày tải lên: 22/06/2014, 01:20

Ngày tải lên: 22/06/2014, 20:20

Ngày tải lên: 22/06/2014, 19:20

Ngày tải lên: 22/06/2014, 22:20

Ngày tải lên: 23/06/2014, 00:20

... term: transform, is extensively used in Digital Signal Processing, such as: Fourier transform, Laplace transform, Z transform, Hilbert transform, Discrete Cosine transform, etc. Just what is a transform? To ... decomposed. Chapter 8- The Discrete Fourier Transform 145 Type of Transform Example Signal Fourier Transform Fourier Series Discrete Time Fourier Transform Discrete Fourier Transform signals that ... ] 141 CHAPTER 8 The Discrete Fourier Transform Fourier analysis is a family of mathematical techniques, all based on decomposing signals into sinusoids. The discrete Fourier transform (DFT) is...

Ngày tải lên: 13/09/2012, 09:49

... 67 5.3 NoiseReductionwithWavelets 68 5.3.1 WaveletTransformofaNoisyAudioSignal 68 5.3.2 Orthogonal Wavelet Transform and Thresholding . . 69 5.3.3 Nonorthogonal Wavelet Transform and Thresholding ... SamplingGridoftheWaveletTransform 17 1.6 Multiscale Analysis 18 1.6.1 Approximation 20 1.6.2 Detail 22 1.6.3 SummaryandInterpretation 24 1.6.4 FastWaveletTransform 26 1.7 Transformation Based on the Haar Wavelet ... wavelets, compactly supported, periodic or inter- polating wavelets, separable and nonseparable wavelets for multiple dimensions, multiwavelets, and wavelet packets. [Wic98] [Ste00] 1.3 The Wavelet...

Ngày tải lên: 25/12/2013, 05:17

... lost and the wavelet transform is reversible. This leads to the fast wavelet transform. 1.4 Time–Frequency Resolution In the previous sections we have mentioned that the wavelet transform decomposes ... the wavelet theory: We discuss the time–frequency resolution of the wavelet transform and compare it to the common short–time Fourier transform. The multiscale property of the dyadic wavelet transform ... Chapter 5 presents the theory of wavelet based audio denoising. Furthermore, we present our implementation of a wavelet based audio denoising tool. Extending the wavelet transform into the second dimension, we...

Ngày tải lên: 19/01/2014, 19:20

... Dimensional Discrete Wavelet Transform for Image Signals 3 Masahiro Iwahashi and Hitoshi Kiya Chapter 2 A Pyramid -Based Watermarking Technique for Digital Images Copyright Protection Using Discrete Wavelet ... Optical Communication Systems Using Discrete Wavelet Transformation 207 Nader Namazi, Ray Burris, G. Charmaine Gilbreath, Michele Suite and Kenneth Grant ContentsVI Discrete Wavelet Transforms - A Compendium ... orders@intechopen.com Discrete Wavelet Transforms - A Compendium of New Approaches and Recent Applications, Edited by Awad Kh. Al - Asmari p. cm. ISBN 978-953-51-0940-2 DISCRETE WAVELET TRANSFORMS - A COMPENDIUM...

Ngày tải lên: 23/03/2014, 03:20

... Destructive Interference . . . . . 74 5.2 Exponentials . . 76 DRAFT of “Mathematics of the Discrete Fourier Transform (DFT),” by J.O. Smith, CCRMA, Stanford, Winter 2002. The latest draft and linked ... again. Fortunately for us, all audio signals can be defined so DRAFT of “Mathematics of the Discrete Fourier Transform (DFT),” by J.O. Smith, CCRMA, Stanford, Winter 2002. The latest draft and linked ... even (−1) n/2 n! θ n sin(θ)= ∞  n≥0 n odd (−1) (n−1)/2 n! θ n DRAFT of “Mathematics of the Discrete Fourier Transform (DFT),” by J.O. Smith, CCRMA, Stanford, Winter 2002. The latest draft and linked...

Ngày tải lên: 31/03/2014, 15:21

... ties to MRA:  Subband coding  Haar transform • MRA is just a concept, and the wavelet- based transformation is one method to implement it. DISP@MD5 31 6 Wavelet Coding(2) • We only truncate ... goal of the transformation is to pack as much information as possible into the smallest number of transform coefficients. • Compression is achieved during the quantization of the transformed ... Avoiding the blocking artifact! DISP@MD5 31 42 Wavelet coding is not only the transforming coding exploiting the wavelet transform No subdivision! Introduction(3)-MRA • It represents and analyzes...

Ngày tải lên: 08/05/2014, 18:42

... ’FFT -based interpolation of x[n]’ hold on stem(n*M, x, ’filled’), stem_fix hold off % savefig ’fig_interp’ 0 1 2 3 4 5 6 7 8 0 0.5 1 1.5 2 n x[n] 0 5 10 15 20 25 30 0 0.5 1 1.5 2 n y[n] FFT based ... ≤  E x E y . Summary We have now covered all the most important transforms: continuous time: Laplace, Fourier, Fourier Series, discrete time: Z, DTFT, DTFS, DFT/FFT The first six are for pencil ... X  2π N k  = Nc k and x ps [n] = x[n mod N], ∀n. FT family tree diagram DFT -based “real-time” filtering skip Application: DFT -based removal of low-frequency “hum.” Analog approach: ˜x a (t) → H a (F...

Ngày tải lên: 08/06/2014, 20:19

... (τ) Continuous Haar wavelet transform of QAM64 signal (a) 0 500 1000 1500 2000 2500 0 1 2 3 |CWT| n (τ) Continuous Haar wavelet transform of normalised QAM64 signal (b) Figure 1: Multi-step wavelet transform ... 2500 0.5 1.5 2.5 1 2 |CWT| n (τ) Continuous Haar wavelet transform of normalised ASK16 signal (b) Figure 2: Multi-step wavelet transform of ASK16 signal and constant wavelet transform of its normalized version. and ... Haar wavelet transform of PSK16 signal (a) 0 500 1000 1500 2000 2500 0.5 1.5 2.5 1 2 |CWT| n (τ) Continuous Haar wavelet transform of normalised PSK16 signal (b) Figure 3: Constant wavelet transform...

Ngày tải lên: 21/06/2014, 16:20

... adaptive wavelet filter by optimising the parameter β for a daughter wavelet. Here it is presented how to find the best wavelet filter (the daughter wavelet of a Morlet wavelet) instead of optimal wavelet reconstruction. In ... to optimising the wavelet base, sparsity is usually applied in order to evaluate the wavelet base. Since the wavelet that corresponds to the smallest number of signal wavelet transformation coefficients ... denoising, Morlet wavelet is used, and similarity between the Morlet wavelet and impulse is applied. If nonorthogonal wavelet transform is used, this does not ensure that, after the transform, independent and...

Ngày tải lên: 21/06/2014, 16:20

... truncation of wavelet coefficients in each subband. 3. Distortion Analysis of Wavelet Lifting -Based Multiview Image Coding In this section, we analyze the distortion of wavelet lifting- based multiview ... structure called disparity-compensated lifting to transform the light fields across the views. Haar and 5/3 wavelets are used as the wavelet kernels. The wavelet coefficients in each subband are coded ... distortion and the model -based bit allocation scheme of wavelet lifting -based multiview image coding. Redundancies among image views are removed by disparity-compensated wavelet lifting (DCWL)....

Ngày tải lên: 21/06/2014, 20:20

... for the discrete cosine transform, ” IEEE Transactions on Communications, vol. 25, no. 9, pp. 1004–1009, 1977. [2] H. S. Hou, “A fast recursive algorithm for computing the discrete cosine transform, ” ... application to compute pruning discrete cosine transform, ” IEEE Transactions on Signal Processing, vol. 48, no. 2, pp. 561–563, 2000. [20] A. N. Skodras, “Fast discrete cosine transform pruning,” IEEE Transactions ... Processing t 2 t 1 t Complexity Available computing resource Adaptive transform Fixed transform Impossible interval for fixed transform Figure 1: Computational complexity for fixed and adaptive transforms (e.g., video decoding algorithm...

Ngày tải lên: 21/06/2014, 22:20

... the 3D wavelet transform, Kutil and Uhl have conducted a study of the software and hardware needs of the 3D wavelet transform [14]. They have centered their study on the classic wavelet transform ... conclu- sions are given in Section 7 . 2. 3D WAVELET TRANSFORM Over the past few years, there have been numerous reports on the use of wavelets in many fields. wavelet- based meth- ods are well suited for ... efforts have been reported lately for the wavelet transform. Thulasiraman et al. have de- veloped a multithreaded algorithm for computing the 2D wavelet transform [13]. The authors conduct a set...

Ngày tải lên: 22/06/2014, 19:20

Ngày tải lên: 22/06/2014, 20:20