In this paper, a three Degrees of Freedom (DOF) model of a quarter vehicle suspension system is proposed including the seat driver mass. The modal parameters of this system, which indicate the comfort and the safety of the suspension, are identified using Wavelet analysis. Two applications of wavelet analysis are presented: signal denoising based on the Discrete Wavelet Transform (DWT) and moda...

Abstract—3-D wavelet video coding technique provides an elegant solution to the multimedia transmission scalability requirement. It uses motion-compensated temporal filtering (MCTF) for temporal decomposition and 2-D discrete wavelet transform (2-D DWT) for spatial decomposition. MCTF decomposes video frames into temporal high-pass residuals and temporal low-pass residuals. The temporal high-pa...

Biomarkers which predict patient’s survival can play an important role in medical diagnosis and treatment. How to select the significant biomarkers from hundreds of protein markers is a key step in survival analysis. In this paper a novel method is proposed to detect the prognostic biomarkers of survival in colorectal cancer patients using wavelet analysis, genetic algorithm, and Bayes classifi...

Standard DWT (Discrete Wavelet Transform), being non-redundant, is a very powerful tool for many non-stationary Signal Processing applications, but it suffers from three major limitations; 1) shift sensitivity, 2) poor directionality, and 3) absence of phase information. To reduce these limitations, many researchers developed real-valued extensions to the standard DWT such as WP (Wavelet Packet...

In the computation of forward and inverse Discrete Wavelet Transform (DWT) using Cellular Neural Network (CNN), templates that mimic Haar wavelet are used. It is well known that Daubechies wavelet is the most popular wavelet used in the computation of DWT coefficients. This paper presents an approach towards the design of templates that mimic Daubechies wavelets. A global search algorithm, name...

Objective of this paper is to identify a person taking fingerprint as a biometric parameter using wavelet packet transform. Here both conventional discrete wavelet transform (DWT) and discrete wavelet packet transform (WPT) are used considering special basis function/matrix to extract the coefficients of basis functions those convey the most of the energy of the signal or image. Here top 5% coe...

The aim of this paper is to review emerging trends in efficient implementations of VLSI architecture of lifting based two-dimensional discrete wavelet transform (2D-DWT).The basic principle of lifting scheme is decomposing finite impulse response (FIR) filter into finite sequence of filtering steps. The inherent in place computation of lifting scheme has many advantages, and has been adapted in...

The image steganography is known as a technique of hiding information in cover object such that the analysis of stego image doesn’t provides any clue of hidden data. The image steganography is not a new concept but the recent growth in the computer networks makes it live again because of large visual data sharing in computer networks and greater embedding capability than text and with a large n...

The proliferation of digital audio file is costing loss of revenue to the owner of copyright information especially in the music industry. The paper brings to view works done by various on digital audio watermarking and using discrete wavelet transform (DWT) and discrete cosine transform (DCT) with chaotic watermarking towards carrying out investigation for real life application.