scholarly journals Improving Calculation Accuracy of Digital Filters Based on Finite Field Algebra

2019 ◽  
Vol 10 (1) ◽  
pp. 45
Author(s):  
Dmitry Kaplun ◽  
Sergey Aryashev ◽  
Alexander Veligosha ◽  
Elena Doynikova ◽  
Pavel Lyakhov ◽  
...  
Keyword(s):  
Signal Processing ◽  
Finite Field ◽  
Digital Filters ◽  
Channel Structure ◽  
Main Principle ◽  
Digital Converter ◽  
Field Algebra ◽  
Analog Digital Converter ◽  
Traditional Structure

The applications of digital filters based on finite field algebra codes require their conjugation with positional computing structures. Here arises the task of algorithms and structures developed for converting the positional notation codes to finite field algebra codes. The paper proposes a method for codes conversion that possesses several advantages over existing methods. The possibilities and benefits of optimization of the computational channel structure for digital filter functioning based on the codes of finite field algebra are shown. The modified structure of computational channel is introduced. It differs from the traditional structure by the fact that there is no explicit code converter in it. The main principle is that the “reference” values of input samples, which are free from the error of the analog-digital converter, are used as input samples. The proposed approach allows achieving a higher quality of signal processing in advanced digital filters.

Rapid prototyping of algorithmic A/D converters based on FPAA devices

2013 ◽  
Vol 61 (3) ◽  
pp. 691-696 ◽  
Author(s):  
R. Suszynski ◽  
K. Wawryn
Keyword(s):  
Rapid Prototyping ◽  
Sinusoidal Signal ◽  
Digital Converter ◽  
Mixed Signal ◽  
Analog Digital Converter ◽  
Signal Systems ◽  
Programmable Analog ◽  
Field Programmable ◽  
Field Programmable Analog Array

Abstract A rapid prototyping method for designing mixed signal systems has been presented in the paper. The method is based on implementation of the field programmable analog array (FPAA) to configure and reconfigure mixed signal systems. A serial algorithmic analog digital converter has been used as an example. Three converter architectures have been selected and implemented FPAA device. To verify and illustrate converters operation and prototyping capabilities, implemented converters have been excited by a sinusoidal signal. Analog sinusoidal excitations, digital responses and sinusoidal waveforms after reconstruction are presented.

scholarly journals Normal Bases on Galois Ring Extensions

Symmetry ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 702
Author(s):  
Aixian Zhang ◽  
Keqin Feng
Keyword(s):  
Signal Processing ◽  
Finite Field ◽  
Block Cipher ◽  
Field Extension ◽  
Galois Ring ◽  
Normal Basis ◽  
Galois Rings ◽  
Ring Extension ◽  
Galois Fields ◽  
Normal Bases

Normal bases are widely used in applications of Galois fields and Galois rings in areas such as coding, encryption symmetric algorithms (block cipher), signal processing, and so on. In this paper, we study the normal bases for Galois ring extension R / Z p r , where R = GR ( p r , n ) . We present a criterion on the normal basis for R / Z p r and reduce this problem to one of finite field extension R ¯ / Z ¯ p r = F q / F p ( q = p n ) by Theorem 1. We determine all optimal normal bases for Galois ring extension.

scholarly journals A New Approach to Assess the Quality of Small High-Speed Centrifugal Fans Using Noise Measurement

1999 ◽  
Vol 5 (2) ◽  
pp. 147-153 ◽  
Author(s):  
Dingjun Cui ◽  
Ian A. Craighead
Keyword(s):  
Signal Processing ◽  
Quality Assessment ◽  
Condition Monitoring ◽  
High Speed ◽  
Noise Levels ◽  
New Approach ◽  
Commercial Market ◽  
Centrifugal Fans ◽  
Special Approach

The requirements for a special approach for the quality assessment of small high-speed centrifugal fans are outlined and a new parameter designating the noise levels from the product in comprehensive form will be discussed and described as a criterion for such quality assessment.By applying techniques of signal processing and condition monitoring, the sources of the vibration and noise in different sections of the product can be identified, then the noise from each source from different components can be determined. Using this criterion, more aspects of the quality of the products can be assessed and suggestions to improve the quality of the products can be made. Finally, the assessment of a number ofvacuum cleaner motor/fan units available in the commercial market will be presented and compared with conventional specifications. It will be shown that the new parameter provides a more useful indication of appliance quality.

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>

scholarly journals INTEGRASI DATA REACTIVITY COMPUTER KE SISTEM INTERNET REACTOR LABORATORY (IRL) REAKTOR KARTINI

2021 ◽  
Vol 18 (2) ◽  
pp. 20
Author(s):  
Zulfikar Elran Bhagaskara ◽  
Resa Satria ◽  
Umar Sahiful Hidayat
Keyword(s):  
Digital Converter ◽  
Analog Digital Converter

Reactivity Computer merupakan modul elektronika yang digunakan untuk mengukur reaktivitas dari hasil pembelahan inti diteras reaktor. Sebelumnya sinyal keluaran reactivity computer diolah dan hanya ditampilkan pada layar reactivity computer, namun penunjukannya belum terintegrasi dengan sistem IRL. Sehingga saat praktikum pengukuran reaktivitas batang kendali, peserta kesulitan untuk mengambil data karena perhatian peserta terbagi antara tampilan IRL dan tampilan reactivity computer. Agar dapat diintegrasikan dalam sistem IRL, keluaran reactivity computer perlu dikonversi ke dalam besaran digital, baru kemudian diakuisisi ke dalam sistem IRL. Untuk mencapai tujuan tersebut, dalam penelitian ini dilakukan beberapa tahap, pertama pembuatan rangkaian pengkondisi sinyal karena sinyal dari reactivity computer bernilai -10V sampai +10 Volt DC sementara analog digital converter (ADC) yang tersedia hanya mampu mengukur tegangan 0-5 Volt DC. Kedua pengujian rangkaian pengkondisi sinyal. Ketiga pembuatan sistem akuisisi data dari ADC ke IRL dan terakhir pengujian sistem secara keseluruhan. Setelah seluruh tahap dilakukan, nilai reaktivitas dapat ditampilkan di tampilan IRL, dengan perbedaan penunjukan antara display reactivity computer dengan tampilan di IRL sebesar 1.1%.

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