Digital Filter Approach for ECG in Signal Processing

2013 ◽  
pp. 1075-1082 ◽  
Author(s):  
Sonal K. Jagtap ◽  
M. D. Uplane
Keyword(s):  
Signal Processing ◽  
Digital Filter ◽  
Filter Approach

A High Speed Digital Filter LSI for Video Signal Processing

1986 ◽  
Author(s):  
Masahide Abe ◽  
Hideki Kokubun ◽  
Tahito Aida ◽  
Katsuyuki Goto ◽  
Ki-ichi Kobayashi
Keyword(s):  
Signal Processing ◽  
Digital Filter ◽  
High Speed ◽  
Video Signal ◽  
Video Signal Processing

A high-speed digital filter LSI for video signal processing

1987 ◽  
Vol 22 (3) ◽  
pp. 396-402 ◽  
Author(s):  
M. Abe ◽  
H. Kokubun ◽  
T. Aida ◽  
K. Goto ◽  
K. Kobayashi
Keyword(s):  
Signal Processing ◽  
Digital Filter ◽  
High Speed ◽  
Video Signal ◽  
Video Signal Processing

scholarly journals A Method of Increasing Digital Filter Performance Based on Truncated Multiply-Accumulate Units

2020 ◽  
Vol 10 (24) ◽  
pp. 9052
Author(s):  
Pavel Lyakhov ◽  
Maria Valueva ◽  
Georgii Valuev ◽  
Nikolai Nagornov
Keyword(s):  
Signal Processing ◽  
Theoretical Analysis ◽  
Digital Signal Processing ◽  
Digital Filter ◽  
Digital Filters ◽  
Digital Signal ◽  
Digital Filtering ◽  
Filter Performance ◽  
Filter Architecture ◽  
Hardware Costs

This paper proposes new digital filter architecture based on a modified multiply-accumulate (MAC) unit architecture called truncated MAC (TMAC), with the aim of increasing the performance of digital filtering. This paper provides a theoretical analysis of the proposed TMAC units and their hardware simulation. Theoretical analysis demonstrated that replacing conventional MAC units with modified TMAC units, as the basis for the implementation of digital filters, can theoretically reduce the filtering time by 29.86%. Hardware simulation showed that TMAC units increased the performance of digital filters by up to 10.89% compared to digital filters using conventional MAC units, but were associated with increased hardware costs. The results of this research can be used in the theory of digital signal processing to solve practical problems such as noise reduction, amplification and suppression of the frequency spectrum, interpolation, decimation, equalization and many others.

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