Abstract
Several different hardware configurations for implementing the Hadamard transform in real-time are discussed. The discussion is referenced to a 64 point (8 x 8) transform that is used in image coding for bandwidth reduction. A successive implementation of two 8 point transformations with intermediate random access memory using the straight forward N2 computation is compared to implementations of the Fast Hadamard Transform (FHT). The speed of computing transform coefficients is compared to the hardware requirements of the various techniques. The relationship between computational speed and the resolution and frame rate of television imagery that may be transform encoded using the different methods is illustrated. It is shown that for picture element (pixel) rates up to 5 MHz the N2 computation is the more economical to implement.© (1975) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.