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oai:www.ideals.illinois.edu:2142/18444 2023-07-10 col_2142_8888 col_2142_5131 com_2142_8887 com_2142_234 com_2142_5130

Singer, Andrew C. Gupta, Aditya 2011-01-14T22:51:08Z 2011-01-14T22:51:08Z 2011-01-14T22:51:08Z Current techniques used in pipelining recursive filters require high hardware complexity. These techniques attempt to preserve the exact frequency response of the original circuit while seeking to construct a pipelined architecture. We present a technique that relaxes the need to preserve the exact frequency response and instead considers a least-squares formulation in conjunction with the pipelined architecture. The benefit of this design is that it reduces the complexity of the pipelined circuit immensely, while enabling a simple pipelined architecture based on a polyphase decomposition of the original filter. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2010-12-10T13:58:28Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Gupta_Aditya.tex: 52342 bytes, checksum: 7d521ddaba0e36b40c5fa2b69db3264b (MD5) Gupta_Aditya.pdf: 854963 bytes, checksum: 8cca81dc67a375881acbede517fcd4f6 (MD5) Made available in DSpace on 2011-01-14T22:51:08Z (GMT). No. of bitstreams: 3 Gupta_Aditya.pdf: 854963 bytes, checksum: 8cca81dc67a375881acbede517fcd4f6 (MD5) Gupta_Aditya.tex: 52342 bytes, checksum: 7d521ddaba0e36b40c5fa2b69db3264b (MD5) license.txt: 4062 bytes, checksum: e6ec0663c3b0fde52a351df1cfa6884d (MD5) http://hdl.handle.net/2142/18444 en 2010-12 Copyright 2010 Aditya Gupta Prony's Method Polyphase decomposition In nite-length impulse response (IIR) approximation Least-Squares Approximation and Polyphase Decomposition for Pipelining Recursive filters Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS