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April 2004 [Computer-Aided Engineering] Design Finite Impulse Response Digital Filters Wisely employing digital capabilities can result in optimum filter designs with a minimum number of bits. As was seen last month, in some cases, even having an excess amount of processing power may not result in additional filter precision. The final... March 2004 [Computer-Aided Engineering] Design Finite Impulse Response Digital Filters Interpolation, as was noted last month, is an effective means of achieving a desired filter response (such as an equiripple response) with a reduced number of multipliers. The approach was applied to the implementation of interpolation... January 2004 [Components] Design Finite Impulse Response Digital Filters Digital filters have enabled much of modern communications and the measurements that support them. While most high-frequency design engineers may be familiar with the use of the MATLAB mathematical modeling tool from The MathWorks (Natick, MA) for... February 2004 [Computer-Aided Engineering] Design Finite Impulse Response Digital Filters Finite-impulse-response (FIR) digital filters enable many modern communications systems. Last month, this four-part article series opened with a review of key filter specifications and how tradeoffs impact final performance and examined several... |
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