2026-09-21T05:46:17Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/16215 2023-07-10 col_2142_8888 col_2142_5131 com_2142_8887 com_2142_234 com_2142_5130

Shanbhag, Naresh R. Singer, Andrew C. Shanbhag, Naresh R. Lu, Minwei 2010-05-19T18:40:50Z 2010-05-19T18:40:50Z 2010-05-19T18:40:50Z In this thesis, we propose BER-optimal analog-to-digital converters (ADC) where quantization levels and thresholds are set non-uniformly to minimize the bit-error rate (BER). This is in contrast to present-day ADCs which act as transparent waveform preservers. We define the ADC shaping gain metric in order to quantify the improvements. Simulations for various communication channels show that the BER-optimal ADC achieves shaping gains that range from 2.5 dB for channels with low intersymbol interference (ISI) to more than 30 dB for channels with high ISI. Moreover, a 3 bit BER-optimal ADC achieves at least as low a BER as a 4 bit uniform ADC. For flash converters, this corresponds to a power reduction by 2x. Look-up table based equalizers compatible with BER-optimal ADCs are shown to reduce the power up to 47% and the area up to 66% in a 45 nm CMOS process. The shaping gain due to BER-optimal ADCs can be exploited to lower peak transmit swings at the transmitter or decrease power consumption of the ADC. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2010-04-15T18:46:16Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Lu_Minwei.pdf: 583794 bytes, checksum: 13c030923737a385e4c62c4513b0aaf8 (MD5) Made available in DSpace on 2010-05-19T18:40:50Z (GMT). No. of bitstreams: 2 Lu_Minwei.pdf: 583794 bytes, checksum: 13c030923737a385e4c62c4513b0aaf8 (MD5) license.txt: 4055 bytes, checksum: f96bac9f99b7ec94dc96f6daa9a2ac37 (MD5) http://hdl.handle.net/2142/16215 en Copyright 2010 Minwei Lu BER-optimal Analog-to-digital converters (ADC) communication links ADC shaping gain Bit-error rate (BER) BER-optimal analog-to-digital converters for communication links 2010-5 Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS