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Home / Final Year Projects / 11.25-ms-Group-Delay and Low-Complexity Algorithm Design of 18-BandQuasi-ANSIS1.111/3 Octave Digital Filterbank for Hearing Aids
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11.25-ms-Group-Delay and Low-Complexity Algorithm Design of 18-BandQuasi-ANSIS1.111/3 Octave Digital Filterbank for Hearing Aids

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SKU: PROJ5105 Categories: 2016 Projects, VLSI, 2015 Projects, Final Year Projects Tags: academic projects, Android project 2013-2014, Android project 2015-2016, Android project Abstract, Android project list, btech projects, dotnet project 2013-2014, dotnet project 2015-2016, dotnet project Abstract, dotnet project list, elysium technologies abstract, elysium technologies chennai, elysium technologies coimbatore, elysium technologies company, elysium technologies courses, elysium technologies erode, elysium technologies inpant traning, elysium technologies internship, elysium technologies jobs, elysium technologies madurai, elysium technologies mou, elysium technologies pondychery, elysium technologies projectlist, elysium technologies projects, elysium technologies ramnad, elysium technologies salem, elysium technologies software, elysium technologies tirunelveli, elysium technologies trichy, Final Year Projects, java projects 2013-2014, java projects 2015-2016, java projects Abstract, madurai software company, matlab project 2013-2014, matlab project 2015-2016, matlab project Abstract, matlab project list, mtech projects, phd research work, Php project 2013-2014, Php project 2015-2016, Php project Abstract, Php project list, Power Electronic project 2013-2014, Power Electronic project 2015-2016, Power Electronic project Abstract, Power Electronic project list, project center Bangalore, project center chennai, project center coimbatore, project center Erode, project center Hyderabad, project center Kollam, project center madurai, project center Pandicherry, project center ramnad, project center Salem, project center Tiruneveli, project center trichy, research center, Students Projects, Vlsi project 2013-2014, Vlsi project 2015-2016, Vlsi project Abstract, Vlsi project list
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11.25-ms-Group-Delay and Low-Complexity Algorithm Design of 18-BandQuasi-ANSIS1.111/3 Octave Digital Filterbank for Hearing Aids

Abstract—11.25-ms-Group-Delay and Low-Complexity Algorithm Design of 18-Band Quasi-ANSI S1.11 1/3 Octave Digital Filterbank for Hearing Aids. A novel algorithm and architecture design for 18-band quasi-class-2 ANSI S1.11 1/3 octave filter bank. The proposed design has several advantages such as lower group delay, lower computational complexity, and lower matching error. The technique we developed in this paper can be summarized as follows: 1) a simple low-pass filter (LPF) and discrete cosine transform (DCT) modulation are utilized to generate a uniform 9-band filter bank first, and then all elements z-1 of are replaced by all-pass filters to obtain a non-uniform filter bank; 2) a fast recursive structure and variable-length algorithm is further developed to efficiently accomplish DCT modulation. Thus, the spectrum of LPF can be easily spanned and flexibly extended to the location of the desired central frequency; 3) after employing the multi-rate algorithm, an 18-band non-uniform filter bank is generated from two 9-band sub filter banks by following the proposed design steps and parameter determinations. Compared with the latest Liu et al.’s quasi-class-2 ANSI S1.11 design, the proposed method-I < Final Year Projects 2016 > Proposed-I totally has 72.8% reduction for multiplications per sample, 11.25-ms group delay, and 59 additions decreased per sample. Moreover, the maximum matching error of the proposed method-II (Proposed-II) is averagely equal to 1.79 dB much smaller than that of the latest Wei et al.’s design. For the proposed variable-length DCT modulation, only 2 adders, 2 multipliers, 2 multiplexers, and 5 registers are required for hardware implementation after applying VLSI retiming scheme. Overall, the proposed filter bank design would be a new solution for future applications in the area of hearing aids. Since the group delay and computational complexity are both produced from the number of taps of filters, to lower the number of taps for each filter might be an available solution.

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Rated 2.36 out of 5 stars
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