Wavelet/wavelet packet decomposition has become a very useful tool in describing nonstationary processes. Important examples of nonstationary processes encountered in practice are cyclostationary processes or almost-cyclostationary processes. In this paper, we study the statistical properties of the wavelet packet decomposition of a large class of nonstationary processes, including in particula...

In this paper, we present a new speech perceptual hashing authentication algorithm based on wavelet packet decomposition (WPD) for speech content authentication. Firstly, a wavelet packet coefficients matrix of wavelet reconstruction is generated from an original speech signal after high frequency pre-processing followed by wavelet packet decomposition. Secondly, the wavelet packet coefficients...

—A novel adaptive image hiding algorithm was presented in this paper. The proposed algorithm is developed based on singular value decomposition (SVD) and wavelet packets transform (WPT). Firstly, bit plane decomposition (BPD) and WPT are separately implemented on the secret image and the carrier image. Secondly, the bit planes with important information are hidden into the singular value matri...

This paper discusses a wavelet based, lossless compression scheme for Electroencephalogram(EEG) signals. For any wavelet based compression scheme, selection of wavelet base is very important task for obtaining effective signal compression. Here, emphasis is given for selection of wavelet basis and number of decomposition levels. The proposed EEG compression algorithm comprises of a preprocessin...

The large volume of images used in Distance Learning System are required to be compressed in a good ratio to release the storage loading of computer servers. A new image coding Scheme based on Principle Components Analysis (PCA) and Wavelet decomposition is proposed in this paper. Our algorithm includes 1) Principle Components Analysis (PCA)to reduce the information redundancies along temporal ...

This paper deals with performance evaluation of well known image compression algorithm i.e. wavelet based image compression Set Partition in hierarchical Tree (SPIHT) and decomposition algorithm known as Singular Value Decomposition (SVD). Due to multi resolution nature of wavelet transforms, SPIHT provides better image compression at higher compression ratio. The techniques are implemented in ...

The series representation consisting of eigenfunctions as the orthogonal basis is called the Karhunen–Loeve expansion. This paper demonstrates that the determination of eigensolutions using a wavelet-Galerkin scheme for Karhunen–Loeve expansion is computationally equivalent to using wavelet directly for stochastic expansion and simulating the correlated random coefficients using eigen decomposi...

Early detection of cancer is crucial for successful treatments. In this paper, we propose a multiclass Logistic Partial Least Squares (LPLS) algorithm for classification of normal vs. cancer using Mass Spectrometry (MS). LPLS combines the multiclass logistic regression with Partial Least Squares (PLS) algorithm. Wavelet decomposition is also proposed for pre-processing of original data. Wavelet...

In this paper, we introduce the notion of biorthogonal wavelet packets associated with nonuniform multiresoltion analysis and study their characteristics by means of Fourier transform. Three biorthogonal formulas regarding these wavelet packets are established. Moreover, it is shown how to obtain several new Riesz bases of the space (R) by constructing a series of subspaces of these nonuniform ...

In this paper, we propose a new scheme for data transmission in Long Term Evolution (LTE) methods based on Orthogonal Frequency Division Multiplexing (OFDM). In OFDM scheme we compare Discrete Fourier Transform (DFT) based OFDM with wavelet based technique. In this method, DWT-COIFLET (Discrete wavelet transform) is used for wavelet decomposition, we compare COIFLET wavelet with traditional wav...