The aim of this paper is to examine a set of wavelet functions (wavelets) for implementation in a still image compression system and to highlight the benefit of this transform relating to today’s methods. The paper discusses important features of wavelet transform in compression of still images, including the extent to which the quality of image is degraded by the process of wavelet compression...

In this paper, an automatic system is presented for word recognition using real Turkish word signals. This paper especially deals with combination of the feature extraction and classification from real Turkish word signals. A Discrete Wavelet Neural Network (DWNN) model is used, which consists of two layers: discrete wavelet layer and multi-layer perceptron. The discrete wavelet layer is used f...

Both light emitting diode (LED) characteristics for illumination and communication simultaneously have made visible communication-orthogonal frequency division multiplexing (VLC-OFDM) a strong competitive to radio (RF). In this juncture, improve signal noise ratio (SNR) coverage contour, the wavelet-OFDM is suggested indoor VLC systems. paper, wavelet VLC-OFDM proposed imaging multiple-input mu...

Epilepsy is one of the most common brain diseases that affect more than 1\% world's population. It characterized by recurrent seizures, which come in different types and are treated differently. Electroencephalography (EEG) commonly used medical services to diagnose seizures their types. The accurate identification helps provide optimal treatment information patient. However, manual diagnostic ...