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In this paper we present a hardware architecture suitable for implementing discrete trigonometric transforms (DTT) including popular fast Discrete Cosine (DCT) and Sine (DST) transforms. The design method is modular and uses predesigned components to construct a transform system. A data shuffle network structure is presented in this work and we will show how it is used in conjunction with a partial...
Scalable architectures were proposed for Discrete Cosine Transform (DCT). Number of processing elements (PE) can be reduced significantly using partial column structure for computing the DCT transform. This feature is very desirable for multimedia applications usage in handheld devices. As per transform computation, data reordering is required between stages (columns) where intermediate computed values...
The number of processing elements (PE) can be reduces significantly using partial column structure to perform Discrete Trigonometric Transform (DTT) computation. Data reordering is required between stages (columns). A scalable interconnect network for both global and local for data reordering is presented in this paper. The network scalability is based on the transform size and the number of processing...
Adaptive computing systems (ACSs) can serve as flexible hardware accelerators for applications in domains such as image and digital signal processing. However, the mapping of applications onto ACSs using the traditional methods can take months for a hardware engineer to develop and debug. To enable application designers to map their applications automatically onto ACSs, a software design environment...
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