A novel vowel feature extraction method via hybrid wavelet and linear prediction coding (LPC) is presented here. The proposed Arabic vowels recognition system is composed of very promising techniques; wavelet transform (WT) with linear prediction coding (LPC) for feature extraction and feed forward backpropagation neural network (FFBPNN) for classification. Trying to enhance the recognition pro...

Wavelets are being utilized in various communications applications either as an alternative to short time Fourier transform for spectral analysis of non-stationary data or as a new tool to bridge between time domain and frequency domain analysis. A wavelet-based algorithm for image compression with four levels of unequal error protection (UEP) codes over wide-band code division multiple access ...

In this paper, a wavelet neural network (WNN) based diagnostic algorithm is developed and implemented in real-time for the identification and detection of inverter faults in the vector controlled induction motor drives. The phase currents of an induction motor (IM) drive of different faulted and unfaulted conditions are preprocessed by the wavelet packet transform (WPT) algorithm in order to mi...

The MIMO technology towards achieving future generation broadband networks design criteria is presented. Typical next generation scenarios are investigated. The MIMO technology is integrated with the OFDM technology for effective space, time and frequency diversity exploitations for high speed outdoor environment. Two different OFDM design kernels (fast Fourier transform (FFT) and wavelet packe...

Performance analysis of multilevel unequal error protection (UEP) codes with wavelet video compression for wideband multicarrier code division multiple access (MC-CDMA) and Rake receivers over additive white Gaussian noise (AWGN) and Rayleigh fading channels are achieved and evaluated. Wavelets possess a dominant method and high quality for compressing video sequence. A spatially scalable video...

The existence of recorded accelerograms to perform dynamic inelastic time history analysis is of the utmost importance especially in near-fault regions where directivity pulses impose extreme demands on structures and cause widespread damages. But due to the scarcity of recorded acceleration time histories, it is common to generate proper artificial ground motions. In this paper an alternative ...

Wideband Multicarrier code division multiple access (MCCDMA) and Rake receivers for wavelet video transmission with four levels of unequal error protection (UEP) codes over additive white Gaussian noise (AWGN) and Rayleigh fading channels are performed and evaluated. The deployment of Wavelets has approached a powerful technique and high quality for compressing video sequence. A spatially scala...

This paper presents a joint speech and audio coding algorithm combining sinusoidal modeling and a perceptually adapted Wavelet Packet Transform (WPT). The input signal is limited to the band of 50-7000 Hz, and sampled at 16 kHz. The sinusoidal modeling uses a Sinusoidal Similarity Measure (SSM) to find stable sinusoidal components. A novel pitch harmonics based encoding is applied to encode the...

The power quality (PQ) signals are traditionally analyzed in the time-domain by skilled engineers. However, PQ disturbances may not always be obvious in the original time-domain signal. Fourier analysis transforms signals into frequency domain, but has the disadvantage that time characteristics will become unobvious. Wavelet analysis, which provides both time and frequency information, can over...

it is important to reduce keeping costs and hold up unscheduled downtimes for machinery. So knowledge of what, where and how faults occur is very important. In machine rotation and machine learning Fault diagnosis and detection are important rule. In this paper offer a method based on kernel method that using in fault occur. For this reason create kernel by wavelet packet with associate rule mi...