To evaluate eddy structures of a plane turbulent jet in the dimension of time and scale, the velocity signals were analyzed using the continuous and discrete wavelet transforms in this paper. From the distribution of coefficients of continuous wavelet transform, localized nearly periodic eddy motions with a=64ms, 100ms and 180ms were respectively observed in the shear layer of x/d=8.5 in the ti...

We describe and analyze a new dyadic recursive partitioning algorithm for efficient classification of large two-dimensional data sets, called progressive classification. It uses generic (parametric or nonparametric) classifiers on a low-resolution representation of the data obtained using the discrete wavelet transform. In this representation, each point corresponds to a block of samples from t...

This work aims at additive watermark detection using a hierarchical prior with two levels in the DWT (Discrete Wavelet Transform) domain. Using this prior we construct a new test statistic which exhibits comparable performance with regard to other state of the art methods. The experimental results on known watermark images demonstrates the high detection sensitivity of the proposed prior in the...

This paper presents a VLSI design approach for a high speed and real time Discrete Wavelet Transform computing. The hardware requirement is a major concern in the computation of discrete wavelet transform. There are many multiplier-less architecture for DWT for reducing the hardware requirement. But it is observed that the approximation method for constant multiplier implementation in DWT can i...

We describe and analyze a new dyadic recursive partitioning algorithm for eecient classiication of large two-dimensional data sets, called progressive classiication. It uses generic (parametric or nonparametric) classiiers on a low-resolution representation of the data obtained using the discrete wavelet transform. In this representation, each point corresponds to a block of samples from the or...

Overcomplete discrete wavelet transforms (ODWT) are used in a number of applications because they provide shift invariance, a property extremely useful in wavelet-based image processing and video coding. In this paper, we propose a new construction of the ODWT starting from the subbands of the critically-sampled (complete) DWT. The most straightforward application of our theory is scalable vide...

An Improved Image Steganography Technique Using Discrete Wavelet Transform Richika Mahajan, B.V. Kranthi Electronics and Communication Engineering Lovely Professional University Jalandhar, Punjab, India _________________________________________________________________________________________ Abstract: This paper proposes a new method for hiding a data in frequency domain. In this a spatial doma...

background: electromyographic (emg) signal decomposition is the process by which an emg signal is decomposed into its constituent motor unit potential trains (mupts). a major step in emg decomposition is feature extraction in which each detected motor unit potential (mup) is represented by a feature vector. as with any other pattern recognition system, feature extraction has a significant impac...