Wavelet Transforms in the TMS320C55x

Wavelets have been developed to analyze the frequency components of a signal according to a scale. They provide more information than the Fourier transform for signals which have discontinuities or sharp spikes. This application report briefly presents the history of the wavelet, starting with Fourier, and describes the implementation of the wavelet transform using filter banks in the image processing field. At the end of this report are some of the most common applications, such as edge detection, noise removal, decomposition and reconstruction. They are illustrated using the TMS320C55? Imaging Library (C55? IMGLIB), provided in the TI web site at www.ti.com. The code is implemented on the TMS320C55x.