16-bit low power digital FIR filter IC design
A digital filter is an essential component of digital signal processing systems due to its various advantages. Among them, the FIR filter is particularly appreciated for its linear phase characteristics. However, with the increase of integration, the reduction of process line width and the increa...
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Format: | Thesis-Master by Coursework |
Language: | English |
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Nanyang Technological University
2023
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Online Access: | https://hdl.handle.net/10356/166246 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | A digital filter is an essential component of digital signal processing systems due to its various
advantages. Among them, the FIR filter is particularly appreciated for its linear phase
characteristics. However, with the increase of integration, the reduction of process line width and
the increase of computing speed in recent decades, the power consumption has become a non-
negligible element in circuit design. In this thesis, the main focus is on the ASIC design of low
power FIR filter.
In this thesis, the development trend of semiconductor integrated circuits and the difficulties
faced nowadays are firstly introduced. Then, the merits of research into low power techniques
are described. Following that, two types of digital filters are introduced, as well as the basic
working principle of FIR filters with different implementation architectures. The components of
digital circuit power consumption are also mentioned. Finally, the design and implementation
methods of a standard 16-bit filter based on multiplicative-additive structure are presented.
Furthermore, beginning with the adders and multipliers that constitute the filter, a low-power
FIR filter design based on parallel multiplication is proposed.
And from the synthesis results generated, it can be concluded that the power consumption and the
area occupied can be effectively decreased by the optimized FIR filter. The proposed FIR filter is
75% smaller than and 43% lower power than the benchmark filter. |
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