On the architectural support for fast wavelet transform
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Wavelet transform is being used for many real-time signal and image processing applications. Many applications can tolerate certain level of compromise in accuracy for a faster speed. In this paper we propose a wavelet processor architecture to support approximated calculation of the wavelet transform.Our design uses the fixed point number system to simplify the hardware design and the computation procedures. By using a table look-up technique, one can predict the range of an output coefficient, so that the computation of coefficients need not be completed. This technique can be efficiently implemented in the wavelet processor for in-line thresholding. By adjusting the thresholding level, one can achieve different levels of computational accuracy and speed. Our simulation results on processing of speech and musical data show that this thresholding technique is quite effective and flexible.