This paper proposes an improved voice activity detection (VAD) algorithm using wavelet and support vector machine (SVM) for European Telecommunication Standards Institution (ETSI) adaptive multi-rate (AMR) narrow-band (NB) and wide-band (WB) speech codecs. First, based on the wavelet transform, the original IIR filter bank and pitch/tone detector are implemented, respectively, via the wavelet f...

A generalization of the Discrete Wavelet Packet Transform (DWPT), referred to as Overlapping Discrete Wavelet Packet Transform (ODWPT), is proposed. In contrast to the traditional DWPT, the ODWPT assumes overlapping among the frequency sub-bands at various levels of the transform. Based on this overlapping strategy, a new set of speech features that is specially designed for speaker recognition...

Since last 10 years, various methods have been used for ear recognition. This paper describes the automatic localization of an ear and it’s segmentation from the side poses of face images. In this paper, authors have proposed a novel approach of feature extraction of iris image using 2D Dual Tree Complex Wavelet Transform (2D-DT-CWT) which provides six sub-bands in 06 different orientations, as...

Breast cancer is a serious health related issue for women in the world. Cancer detected at premature stages has a higher probability of being cured, whereas at advanced stages chances of survival are bleak. Screening programs aid in detecting potential breast cancer at early stages of the disease. Among the various screening programs, mammography is the proven standard for screening breast canc...

This paper presents the application of covariance and Enhanced Normalized Cross Correlation (ENCC) algorithm in a multi-wavelet based stereo correspondence matching. A balanced multi-wavelet transform is applied to a pair of stereo images de-correlating each input image into its multiwavelet’s sub-bands. The resulting four multi-wavelet basebands of each view are then used to calculate the disp...

Compression of remotely sensed astronomical images is an essential part deep space exploration. This study proposes a wavelet-based compressed sensing (CS) algorithm for image compression in miniaturized independent optical sensor system, which introduces new framework CS the wavelet domain. The starts with traditional 2D discrete transform (DWT), provides frequency information image. coefficie...

Epilepsy is the most common brain diseases that cause many problems in the daily life of the patient. In most attempts to automatic detection, the attack used an EEG. In this paper, The complete data set consists of five sets recorded from normal and epileptic patients. Each set containing 100 single-channel EEG segments. Here we used first and last sets (A and E). Set A consisted of segments r...

Digital image security is of utmost importance in today’s scenario. This paper proposes a novel type of image security method involving Arnold transformation and frequency domain transformation i.e. Dual Tree Complex wavelet transform (DTCWT) .The main idea here is to decompose the cover image into sub-bands using dual tree complex wavelet transform and then applying Arnold Transform to the wat...

0957-4174/$ see front matter 2011 Elsevier Ltd. A doi:10.1016/j.eswa.2011.04.149 ⇑ Corresponding author. Address: Department o Engineering, Zonguldak Karaelmas University, Engine dak, Turkey. Tel.: +90 372 257 5446; fax: +90 372 25 E-mail address: [email protected] (M We introduced a multilayer perceptron neural network (MLPNN) based classification model as a diagnostic decision support ...

The demand for higher and higher quality images transmitted quickly over the Internet has led to a strong need to develop better algorithms for the filtering and coding of such images. The introduction of the JPEGZOOO compression standard has meant that for the first time the discrete wavelet transform (DWT) is to be used for the decomposition and reconstruction of images together with an effic...