| In this thesis a scalable approach is developed for transform architectures which are used for real time digital signal processing. The proposed scalable framework is suitable for both sequential and parallel implementation of decorelation transforms. It can give a low power solution, intended for low bit-rate applications, and is scalable to provide a high performance architecture for high bit-rate applications. A study of two popular transforms used for image processing, the Discrete Wavelet Transform (DWT) and the Discrete Cosine Transform (DCT) is made using the proposed scalable model. The derived results show improvements over existing optimized general and application specific transform architectures. |
