Abstract
[[abstract]]The problems of unified efficient computations of the discrete cosine transform (DCT), discrete sine transform (DST), discrete Hartley transform (DHT), and their inverse transforms are considered. In particular, a new scheme employing the time-recursive approach to compute these transforms is presented. Using such approach, unified parallel lattice structures that can dually generate the DCT and DST simultaneously as well as the DHT are developed. These structures can obtain the transformed data for sequential input time-recursively with throughput rate one per clock cycle and the total number of multipliers required is a linear function of the transform size N. Furthermore, there is no constraint on N. The resulting architectures are regular, modular, and without global communication so that they are very suitable for VLSI implementation for high-speed applications such as ISDN networks and HDTV systems. It is also shown in this paper that the DCT, DST, DHT and their inverse transforms share an almost identical lattice structure. The lattice structures can also be formulated into prelattice and postlattice realizations. Two methods, the SISO and double-lattice approaches, are developed to reduce the number of multipliers in the parallel lattice structure by 2N and N, respectively. The tradeoff between time and area for the block data processing is also considered. The concept of filter bank interpretation of the time-recursive sinusoidal transforms is also discussed.[[fileno]]2030234010003[[department]]資訊工程學

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