Digital filters and signal processing in electronic engineering

1998 ◽  
Author(s):  
S. M. Bozic ◽  
R. J. Chance
Keyword(s):  
Signal Processing ◽  
Digital Filters ◽  
Electronic Engineering

scholarly journals Eliminating unwanted signals in sound by using digital signal processing system

2020 ◽  
Vol 18 (2) ◽  
pp. 829
Author(s):  
Amer T Saeed ◽  
Zaid Raad Saber ◽  
Ahmed M. Sana ◽  
Musa A. Hameed
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Filters ◽  
Processing System ◽  
Digital Signal ◽  
Noise Signal ◽  
Time Range ◽  
Signal Processing System ◽  
Digital Signal Processing System ◽  
Sound Files

<p><a name="_Hlk536186602"></a><span style="font-size: 9pt; font-family: 'Times New Roman', serif;">Unwanted signals or noise signals in sound files are considered one of the major challenges and issues for a thousand users. It is impossible to reduce or remove these noise signals without identifying their types and ranges. Therefore, to address one of the big problems in the digital or analogue communication, which is noise signals or unwanted signals, an adaptive selection method and noise signal removal algorithm are proposed in this research. The proposed algorithm is done through specifying the types of undesirable signals, frequency, and time range, then utilizing digital signal processing system which includes design several types of digital filters based on the types and numbers of unwanted signals. Four digital filters are used in this research to remove noise signals from the sound file by implementing the proposed algorithm using Matlab Code. Results show that our proposed algorithm was done successfully and the whole noise signals were removed without any negative consequence in the output sound signal. </span><span style="font-family: 'Times New Roman', serif; font-size: 9pt;">Unwanted signals or noise signals in sound files are considered one of the major challenges and issues for a thousand users. It is impossible to reduce or remove these noise signals without identifying their types and ranges. Therefore, to address one of the big problems in the digital or analogue communication, which is noise signals or unwanted signals, an adaptive selection method and noise signal removal algorithm are proposed in this research. The proposed algorithm is done through specifying the types of undesirable signals, frequency, and time range, then utilizing digital signal processing system which includes design several types of digital filters based on the types and numbers of unwanted signals. Four digital filters are used in this research to remove noise signals from the sound file by implementing the proposed algorithm using Matlab Code. Results show that our proposed algorithm was done successfully and the whole noise signals were removed without any negative consequence in the output sound signal.</span></p>

Study of Sallen–Key digital filters in nuclear pulse signal processing

2019 ◽  
Vol 30 (10) ◽  
Author(s):  
Huai-Qiang Zhang ◽  
Bin Tang ◽  
He-Xi Wu ◽  
Zhuo-Dai Li
Keyword(s):  
Signal Processing ◽  
Digital Filters ◽  
Pulse Signal

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.

EDUCATIONAL PLATFORM FOR REAL-TIME DIGITAL SIGNAL PROCESSING: PRACTICAL APPLICATIONS OF DIGITAL FILTERS

2017 ◽  
Vol 36 (1) ◽  
Author(s):  
Wesley Becari ◽  
Rodrigo B. dos Santos ◽  
André B. Carlos ◽  
Rafael A. Biliatto ◽  
Henrique E. M. Peres
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Real Time ◽  
Digital Filters ◽  
Digital Signal ◽  
Practical Applications

FIR Digital Filter Design Based on Virtual Instrument

2013 ◽  
Vol 684 ◽  
pp. 653-656
Author(s):  
Yu Jian Du ◽  
Zu Bin Chen ◽  
Teng Yu ◽  
Yang Yang
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Virtual Instrument ◽  
Digital Filters ◽  
Filter Design ◽  
Digital Signal ◽  
Seismic Signal ◽  
Digital Filter Design ◽  
Digital World ◽  
Fir Digital Filters

With the information era and the advent of the digital world, digital signal processing has become extremely important in today's one of the disciplines and technical fields.Digital signal processing in seismic signal ,communications, voice, image, automatic control radar, and other fields has been widely used.In this paper,I design several kind of FIR digital filters based on virtual instrument to solve the problem that signal noise reduction.

Digital Filters and Signal Processing by L. B. Jackson

1987 ◽  
Vol 81 (1) ◽  
pp. 204-204
Author(s):  
L. B. Jackson ◽  
P. G. Cable
Keyword(s):  
Signal Processing ◽  
Digital Filters
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