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OPTIMIZED FAST HARTLEY TRANSFORM FOR THE MC68000 WITH APPLICATIONS IN IMAGE PROCESSING A THESIS SUBMITTED TO THE FACULTY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE
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The optimized fast Hartley transform (OFHT) is a mathematical algorithm used to efficiently compute the discrete Hartley transform (DHT) of a sequence of real-valued input data. It is a fast computational method that operates on real-valued signals and produces a real-valued frequency-domain representation.
There is no specific requirement for filing an optimized fast Hartley transform as it is primarily a mathematical algorithm and not a document or form that needs to be filed.
As mentioned earlier, there is no specific form or document to fill out for an optimized fast Hartley transform. It is a mathematical algorithm used for signal processing and does not involve any filing.
The purpose of the optimized fast Hartley transform is to efficiently compute the discrete Hartley transform of a sequence of real-valued input data. It is used in various signal processing applications such as image compression, spectral analysis, and pattern recognition.
There is no specific information that needs to be reported on an optimized fast Hartley transform as it is a mathematical algorithm and not a document or form. However, when applying the algorithm to real-valued input data, the input sequence and the resulting frequency-domain representation are the primary pieces of information.
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