College of Science

Audio signals are often contaminated by background environment noise from audio equipments. Audio denoising aims to attenuating the noise while retaining the underlying signals.The focal point of this thesis is to use digital signal processing techniques based on wavelet transform to reduce the noise from the signal. In this research three types of wavelet transform (Haar, D4 and D6 wavelet transforms) and different thresholding criteria have been investigated to truncate the noise from two types of signal (high and low amplitude audio signals).

          Caching is the technique of storing the frequently used data in a fast memory, either at a client or at a server, which is connected to clients via a network.

Clustering is a discipline devoted to find and describe cohesive or homogeneous chunks in data, the clusters. An example of clustering problem is the automatic revealing of meaningful parts in a digitalized image. The motivation for the focus on data clustering is the fact that data clustering is an important process in pattern recognition and machine learning. Clustering algorithms are used in many applications such as image segmentation, vector and color image quantization, compression, etc.