Due to instability and poor identification ability of single pyroelectric infrared (PIR) detector for human target identification, this paper proposes a new approach to fuse the information collected from multiple PIR sensors for human identification. Firstly, Fast Fourier Transform (FFT), Short Time Fourier Transform (STFT), Wavelet Transform (WT) and Wavelet Packet Transform (WPT) are adopted...

The determination of Glottal Closure Instant (GCI) is an important task in voice signal analysis. At GCI the vocal folds close the glottis for the airstream coming from the lungs. By opening and closing the airstream passage the vocal folds generate quasi periodic impulse source for the vocal tract system. GCI determine the instantaneous voice signal pitches. They are used for speaker identific...

Various techniques have been developed to interpret potential field data which are broadly categorized as: Forward and Inverse modeling (Blakely, 1995). Ambiguity in identification and characterization of the sources from the potential field data makes formulation of initial model a critical step while analyzing the data. The second category of techniques (inversion) shows many constraints such...

This paper proposes an innovative method based on wavelet transform (WT) to decompose the global power consumption in elemental loads corresponding to each appliance. The aim is to identify the main entities that are responsible of total electricity consumption. The research demonstrates that the WT could be used to identify simpler electrical consumption patterns as a part of total consumption...

The potential applications of Wavelet Transform (WT) are limitless including image processing, audio compression and communication systems. In image processing, WT is used in applications such as image compression, denoising, speckle removal, feature analysis, edge detection and object detection. The use of WT algorithms in image processing for real-time custom applications may require dedicate...

Multisensor data fusion combines data and information from multiple sensors to achieve improved accuracies and better inference about the environment than single sensor alone. This paper presents a technique for fusing the Synthetic Aperture Radar (SAR) image and optical image at same scene using wavelet transform (WT) algorithm. Before fused the two images, a image registration affine transfor...

The potential applications of Wavelet Transform (WT) are limitless including image processing, audio compression and communication systems. In image processing, WT is used in applications such as image compression, denoising, speckle removal, feature analysis, edge detection and object detection. The use of WT algorithms in image processing for real-time custom applications may require dedicate...

Effective wavelets to solve electromagnetic integral equations are proposed. It is based on the same construction procedure as Daubechies wavelets but with mix-phase to obtain maximum sparsity of moment matrix. These new wavelets are proved to have excellent performance in non-zero elements reduction in comparison with minimum-phase wavelet transform (WT). If further sparsity is concerned, wave...

Artificial neural network (ANN) has application in communication engineering in diverse areas such as channel equalization, channel modeling, error control code because of its capability of nonlinear processing, adaptability, and parallel processing. On the other hand, wavelet transform (WT) with both the time and the frequency resolution provides the exact representation of signal in both doma...

Almost any system for the detection of asymptomatic circulating emboli by Doppler ultrasound employs the fast Fourier Transform (FFT). However, the FFT is not ideally suited to study short-lived embolic signals. The wavelet transform (WT) is an optimized way of analyzing short-lived signals and performs better than the FFT in some respect. We propose a detection method based on the discrete wav...