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

<a name="_Hlk536186602"></a>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. 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.

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A constraint optimization of low-delay and low-operation driven FIR digital filters for big data signal processing

Electronics and Communications in Japan ◽

10.1002/ecj.12089 ◽

2018 ◽

Vol 101 (8) ◽

pp. 43-51

Author(s):

Tomohiro Hirakawa ◽

Masayoshi Nakamoto

Keyword(s):

Signal Processing ◽

Big Data ◽

Digital Filters ◽

Constraint Optimization ◽

Low Delay ◽

Fir Digital Filters ◽

Data Signal

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Theoretical research on the effects of third-order dispersion on multi-pulse signal propagation based on Runge–Kutta algorithm

Modern Physics Letters B ◽

10.1142/s0217984921502341 ◽

2021 ◽

pp. 2150234

Author(s):

Shenwei Yin ◽

Haichen Rong ◽

Jiayuan Dong ◽

Xin Li ◽

Yichen Yan ◽

...

Keyword(s):

Signal Processing ◽

Processing System ◽

Pulse Signal ◽

Signal Propagation ◽

Theoretical Research ◽

Third Order ◽

Signal Processing System ◽

Third Order Dispersion ◽

Runge Kutta ◽

Order Dispersion

In recent years, integrated signal processing system has been attracting increasing attention for its significant potential in future data transmission and information interaction. There is a key technical requirement for multi-pulse signal propagation that keeps the waveform shape, which contributes to the practical value of the system. Here, we investigate the effects of third-order dispersion on pulses in mid-infrared multi-pulse signal propagation via numerical simulation based on Runge–Kutta algorithm. The phenomenon of waveform distortion and reduction of conversion efficiency induced by third-order dispersion is explored and discussed in detail. To reduce the impact of nonlinear factors, we propose an on-chip signal processing system based on a lithium niobate waveguide, which achieves high-efficiency signal transmission. It opens a new way to establish a novel transmission system to process multi-pulse signal.

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Design and implementation of high-speed signal processing system for 2-D state-space digital filters using distributed arithmetic

10.1109/iscas.1990.112184 ◽

2002 ◽

Author(s):

M. Kawamata ◽

T. Yamakage

Keyword(s):

Signal Processing ◽

State Space ◽

High Speed ◽

Digital Filters ◽

Processing System ◽

Distributed Arithmetic ◽

Signal Processing System ◽

Design And Implementation

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

Applied Sciences ◽

10.3390/app10249052 ◽

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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