Implementing Complex Wavelet Transform in Analog Circuit and Singular Value Decomposition Algorithm
نویسندگان
چکیده
A new method for implementing complex wavelet transform (CWT) based on analog sampled-data circuit and singular value decomposition (SVD) algorithm is presented. To begin with, the real and imaginary parts functions of the complex wavelet base are approximated by using SVD algorithm. As the main advantage of this approximation approach is its computational simplicity and general applicability. Next, the complex wavelet circuit is implemented using multiple-loop feedback (MLF) architecture with switched-current (SI) bilinear integrators and current mirrors as basic elements. Finally, the CWT is realized by controlling the clock frequency of the designed SI filters. Simulation results demonstrate the proposed method of implementing the CWT is effective and would be suitable to design other SI circuits as well. Key-Words: -Complex wavelet, wavelet transform, analog filters, switched-current circuits, singular value decomposition.
منابع مشابه
Feature Extraction of Visual Evoked Potentials Using Wavelet Transform and Singular Value Decomposition
Introduction: Brain visual evoked potential (VEP) signals are commonly known to be accompanied by high levels of background noise typically from the spontaneous background brain activity of electroencephalography (EEG) signals. Material and Methods: A model based on dyadic filter bank, discrete wavelet transform (DWT), and singular value decomposition (SVD) was developed to analyze the raw data...
متن کاملSingular Value Decomposition based Steganography Technique for JPEG2000 Compressed Images
In this paper, a steganography technique for JPEG2000 compressed images using singular value decomposition in wavelet transform domain is proposed. In this technique, DWT is applied on the cover image to get wavelet coefficients and SVD is applied on these wavelet coefficients to get the singular values. Then secret data is embedded into these singular values using scaling factor. Different com...
متن کاملAn Analog Vlsi Circuit Implementing an Orthogonal Continuous Wavelet Transform
We have developed the theory and analog hardware implement-ation for a Cont.inuous Wavelet Transform (CWT). This novel circuit performs an orthogonal decomposition of temporal signals, such as speech, in a frequency range of IOHz to 20KHz. This multiresolution processor expands the Laguerre structure originally developed by Lee [4].
متن کاملImage Contrast Enhancement using Atrous Wavelet Transform and Singular Value Decomposition (SVD)
In this paper, a new satellite image contrast enhancement technique based on s Atrous wavelet transform and singular value decomposition (SVD) has been proposed. To obtain shift invariant discrete wavelet transform decomposition for images, we introduced the discrete wavelet transform known a “A trous” algorithm to decompose the image into wavelet planes which is computed as the difference betw...
متن کاملSymbolic computation of the Duggal transform
Following the results of cite{Med}, regarding the Aluthge transform of polynomial matrices, the symbolic computation of the Duggal transform of a polynomial matrix $A$ is developed in this paper, using the polar decomposition and the singular value decomposition of $A$. Thereat, the polynomial singular value decomposition method is utilized, which is an iterative algorithm with numerical charac...
متن کامل