Abstract
In this paper, we propose a simple design method of nonuniform filter banks (NUFBs) with rational sampling factors. The analysis filters are respectively generated by cosine modulating several prototype filters with certain matching condition. By following a cosine roll-off function of the transition bands of the stretched prototype filters, the overall system is approximately power complementary and therefore possesses the near-prefect-reconstruction (NPR) property. Further, due to the use of the Parks-McClellan algorithm in the filter design, no objective function in the optimization is explicitly required and optimal prototype filters for NPR cosine-modulated NUFBs can be obtained. Design examples along with comparisons show that the resulting filter banks are of high filter quality and the proposed method is of simplicity and effectiveness.
Work supported by NSF of China (Grant No. 60372047) and NSF of Shaanxi Province, China (Grant No. 2005F18).
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Xie, X., Shi, G., Zhong, W., Chen, X. (2006). Optimal Prototype Filters for Near-Perfect-Reconstruction Cosine-Modulated Nonuniform Filter Banks with Rational Sampling Factors. In: Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881223_31
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DOI: https://doi.org/10.1007/11881223_31
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