Abstract: The disclosure relates generally to a method of three dimensional (3D) tomographic volume reconstruction for computed tomography (CT) using vector processors and more specifically to an optimized implementation which pre-computes back projection weights and perspective geometry data associated with a given CT device as down-sampled tables. The down-sampled perspective geometry data and the weight table are interpolated dynamically as part of the volume reconstruction process for an object scanned using the given CT device.

Abstract: The disclosure relates generally to a method of three dimensional (3D) tomographic volume reconstruction for computed tomography (CT) using vector processors and more specifically to an optimized implementation which pre-computes back projection weights and perspective geometry data associated with a given CT device as down-sampled tables. The down-sampled perspective geometry data and the weight table are interpolated dynamically as part of the volume reconstruction process for an object scanned using the given CT device.

Abstract: A system for reconstructing a signal waveform from a correlogram is based upon the recognition that the information in each channel of the correlogram is equivalent to the magnitude of the Fourier transform of a signal. By estimating a signal on the basis of its Short-Time Fourier Transform Magnitude, each channel of information from a cochlear model can be reconstructed. Once this information is retrieved, a signal waveform can be resynthesized through inversion of the cochlear model. The process for reconstructing the cochlear model data can be optimized with the use of techniques for improving the initial estimate of the signal from the magnitude of its Fourier Transform, and by employing information that is known apriori about the signal during the estimation process, such as the characteristics of sound signals.