Transform domain adaptive filtering using recursive running DCT and its application in surface recording of small intestine

An adaptive system is proposed for the enhancement of the small intestine signal. To obtain better performance, adaptive signal enhancement is performed in the transform domain using the discrete cosine transform (DCT). A fast recursive algorithm is developed for the calculation of running DCT. The computational complexity of the proposed recursive algorithm is only 2/N (where N is the length of the adaptive filter) of the direct calculation of the running DCT. A series of simulations are conducted to investigate the performance of the proposed transform domain adaptive filtering using DCT in comparison with time-domain adaptive filter and with transform-domain adaptive filtering using the discrete Fourier transform. The parameters of the proposed adaptive system are optimized, and their effects on system performance are investigated