Data compression by using wavelet transforms and vector quantization
Therrien, Charles W.
MetadataShow full item record
This thesis proposes a new analysis/synthesis procedure for speech and image compression. The algorithm applies the discrete wavelet transform to subject data in order to obtain a set of multiresolution wavelet coefficients. The wavelet coefficients are then encoded by using the generalized Lloyd algorithm. The statistical properties of the wavelet coefficients are utilized to determine the number of resolution levels as well as the codebook size at each resolution level. Coding results show that the new procedure provides a significant improvement in the quality of the reproduced data. The tested data includes speech, image, and transient signals.
RightsCopyright is reserved by the copyright owner.
Showing items related by title, author, creator and subject.
Abdulla, Abdulla Muffarrah (Monterey, California. Naval Postgraduate School, 1996-09);The purpose of this thesis is to find an automated way to identify push-to-talk transmitters using a wavelet or a spectral correlation based approach. In the wavelet approach, a distance algorithm is applied to the wavelet ...
Garantziotis, Anastasios (Monterey California. Naval Postgraduate School, 2002-06);In this thesis, a wavelet-based prediction method is developed for concealing packet-loss effects in wireless channels. The proposed method utilizes a wavelet decomposition algorithm in order to process the data and then ...
Hughes, John B. (Monterey, California. Naval Postgraduate School, 2003-03);This thesis investigates and compares time and wavelet-domain denoising techniques where received signals contain broadband noise. We consider how time and wavelet-domain denoising schemes and their combinations compare ...