Example of Circuits, Systems, and Signal Processing format
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Example of Circuits, Systems, and Signal Processing format Example of Circuits, Systems, and Signal Processing format Example of Circuits, Systems, and Signal Processing format Example of Circuits, Systems, and Signal Processing format Example of Circuits, Systems, and Signal Processing format Example of Circuits, Systems, and Signal Processing format Example of Circuits, Systems, and Signal Processing format Example of Circuits, Systems, and Signal Processing format Example of Circuits, Systems, and Signal Processing format Example of Circuits, Systems, and Signal Processing format Example of Circuits, Systems, and Signal Processing format Example of Circuits, Systems, and Signal Processing format Example of Circuits, Systems, and Signal Processing format Example of Circuits, Systems, and Signal Processing format Example of Circuits, Systems, and Signal Processing format Example of Circuits, Systems, and Signal Processing format Example of Circuits, Systems, and Signal Processing format Example of Circuits, Systems, and Signal Processing format
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open access Open Access

Circuits, Systems, and Signal Processing — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Applied Mathematics #96 of 548 down down by 17 ranks
Signal Processing #42 of 108 down down by 6 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 1142 Published Papers | 4480 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 25/01/2023
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Related Journals

open access Open Access
recommended Recommended

IEEE

Quality:  
High
CiteRatio: 7.3
SJR: 0.815
SNIP: 1.797
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IOP Publishing

Quality:  
High
CiteRatio: 3.7
SJR: 1.003
SNIP: 1.394
open access Open Access

Springer

Quality:  
High
CiteRatio: 4.1
SJR: 0.337
SNIP: 0.919
open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 7.0
SJR: 1.005
SNIP: 1.314

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

1.681

13% from 2018

Impact factor for Circuits, Systems, and Signal Processing from 2016 - 2019
Year Value
2019 1.681
2018 1.922
2017 1.998
2016 1.694
graph view Graph view
table view Table view

3.9

3% from 2019

CiteRatio for Circuits, Systems, and Signal Processing from 2016 - 2020
Year Value
2020 3.9
2019 3.8
2018 3.6
2017 3.3
2016 2.9
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 13% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 3% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

0.39

7% from 2019

SJR for Circuits, Systems, and Signal Processing from 2016 - 2020
Year Value
2020 0.39
2019 0.419
2018 0.472
2017 0.535
2016 0.513
graph view Graph view
table view Table view

0.862

15% from 2019

SNIP for Circuits, Systems, and Signal Processing from 2016 - 2020
Year Value
2020 0.862
2019 1.017
2018 0.921
2017 1.0
2016 1.0
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 7% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 15% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Circuits, Systems, and Signal Processing

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Springer

Circuits, Systems, and Signal Processing

Rapid developments in the analog and digital processing of signals for communication, control, and computer systems have made the theory of electrical circuits and signal processing a burgeoning area of research and design. The aim of Circuits, Systems, and Signal Processing (...... Read More

Mathematics

i
Last updated on
25 Jan 2023
i
ISSN
0278-081X
i
Impact Factor
High - 1.144
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
SPBASIC
i
Citation Type
Numbered
[25]
i
Bibliography Example
Blonder, G.E., Tinkham, M., Klapwijk, T.M.: Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion. Phys. Rev. B 25(7), 4515–4532 (1982). URL 10.1103/PhysRevB.25.4515

Top papers written in this journal

Journal Article DOI: 10.1007/BF01600184
A survey of linear singular systems
Frank L. Lewis1

Abstract:

This paper is a brief historical review of linear singular systems, followed by a survey of results on their solution and properties. The frequency domain and time domain approaches are discussed together to sketch an overall picture of the current status of the theory. This paper is a brief historical review of linear singular systems, followed by a survey of results on their solution and properties. The frequency domain and time domain approaches are discussed together to sketch an overall picture of the current status of the theory. read more read less

Topics:

Singular solution (60%)60% related to the paper, Linear system (55%)55% related to the paper, Singular integral (54%)54% related to the paper, Frequency domain (53%)53% related to the paper, Regular singular point (50%)50% related to the paper
1,315 Citations
open accessOpen access Journal Article DOI: 10.1007/BF01189221
An overview of morphological filtering
Jean Serra1, Luc Vincent1

Abstract:

This paper consists of a tutorial overview of morphological filtering, a theory introduced in 1988 in the context of mathematical morphology. Its first section is devoted to the presentation of the lattice framework. Emphasis is put on the lattices of numerical functions in digital and continuous spaces. The basic filters, na... This paper consists of a tutorial overview of morphological filtering, a theory introduced in 1988 in the context of mathematical morphology. Its first section is devoted to the presentation of the lattice framework. Emphasis is put on the lattices of numerical functions in digital and continuous spaces. The basic filters, namely the openings and the closings, are then described and their various versions are listed. In the third section morphological filters are defined as increasing idempotent operators, and their laws of composition are proved. The last sections are concerned with two special classes of filters and their derivations: first, the alternating sequential filters allow us to bring into play families of operators depending on a positive scale parameter. Finally, the center and the toggle mappings modify the function under study by comparing it, at each point, with a few reference transforms. read more read less
View PDF
383 Citations
Journal Article DOI: 10.1007/BF01201215
Eigenstructure methods for direction finding with sensor gain and phase uncertainties

Abstract:

An eigenstructure-based method for direction finding in the presence of sensor gain and phase uncertainties is presented. The method provides estimates of the Directions of Arrival (DOA) of all the radiating sources as well as calibration of the gain and phase of each sensor in the observing array. The technique is not limite... An eigenstructure-based method for direction finding in the presence of sensor gain and phase uncertainties is presented. The method provides estimates of the Directions of Arrival (DOA) of all the radiating sources as well as calibration of the gain and phase of each sensor in the observing array. The technique is not limited to a specific array configuration and can be implemented in a'ny eigenstructure-based DOA system to improve its performance. read more read less

Topics:

Sensor array (65%)65% related to the paper, Direction finding (56%)56% related to the paper, Phase (waves) (52%)52% related to the paper, Wave propagation (52%)52% related to the paper, Plane wave (51%)51% related to the paper
284 Citations
Journal Article DOI: 10.1007/S00034-019-01246-3
A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning
Arshia Rehman, Saeeda Naz, Muhammad Imran Razzak1, Faiza Akram, Muhammad Imran2

Abstract:

Brain tumors are the most destructive disease, leading to a very short life expectancy in their highest grade. The misdiagnosis of brain tumors will result in wrong medical intercession and reduce chance of survival of patients. The accurate diagnosis of brain tumor is a key point to make a proper treatment planning to cure a... Brain tumors are the most destructive disease, leading to a very short life expectancy in their highest grade. The misdiagnosis of brain tumors will result in wrong medical intercession and reduce chance of survival of patients. The accurate diagnosis of brain tumor is a key point to make a proper treatment planning to cure and improve the existence of patients with brain tumors disease. The computer-aided tumor detection systems and convolutional neural networks provided success stories and have made important strides in the field of machine learning. The deep convolutional layers extract important and robust features automatically from the input space as compared to traditional predecessor neural network layers. In the proposed framework, we conduct three studies using three architectures of convolutional neural networks (AlexNet, GoogLeNet, and VGGNet) to classify brain tumors such as meningioma, glioma, and pituitary. Each study then explores the transfer learning techniques, i.e., fine-tune and freeze using MRI slices of brain tumor dataset—Figshare. The data augmentation techniques are applied to the MRI slices for generalization of results, increasing the dataset samples and reducing the chance of over-fitting. In the proposed studies, the fine-tune VGG16 architecture attained highest accuracy up to 98.69 in terms of classification and detection. read more read less

Topics:

Deep learning (58%)58% related to the paper, Convolutional neural network (54%)54% related to the paper, Artificial neural network (51%)51% related to the paper, Brain tumor (50%)50% related to the paper
277 Citations
Journal Article DOI: 10.1007/S00034-009-9130-7
Fast Normalized Cross-Correlation
Jae-Chern Yoo1, Tae Hee Han1

Abstract:

Normalized cross-correlation has been used extensively for many signal processing applications, but the traditional normalized correlation operation does not meet speed requirements for time-critical applications. In this paper, a new fast algorithm for the computation of the normalized cross-correlation (NCC) without using m... Normalized cross-correlation has been used extensively for many signal processing applications, but the traditional normalized correlation operation does not meet speed requirements for time-critical applications. In this paper, a new fast algorithm for the computation of the normalized cross-correlation (NCC) without using multiplications is presented. For a search window of size M and a template of size N the fast NCC requires only approximately 2N?(M?N+1) additions/subtractions without multiplications. Simulation results with 100,000 test signals show that the use of the fast NCC instead of the traditional approaches for the determination of the degree of similarity between a test signal and a reference signal (template) brings about a significant improvement in terms of false negative rate, identification rate and computational cost without a significant increase in false positive rate, especially when the signal-to-noise ratio (SNR) is higher than 3 dB. read more read less

Topics:

False positive rate (51%)51% related to the paper, Cross-correlation (51%)51% related to the paper
260 Citations
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Circuits, Systems, and Signal Processing format uses SPBASIC citation style.

Automatically format and order your citations and bibliography in a click.

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Frequently asked questions

1. Can I write Circuits, Systems, and Signal Processing in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Circuits, Systems, and Signal Processing guidelines and auto format it.

2. Do you follow the Circuits, Systems, and Signal Processing guidelines?

Yes, the template is compliant with the Circuits, Systems, and Signal Processing guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Circuits, Systems, and Signal Processing?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Circuits, Systems, and Signal Processing citation style.

4. Can I use the Circuits, Systems, and Signal Processing templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Circuits, Systems, and Signal Processing.

5. Can I use a manuscript in Circuits, Systems, and Signal Processing that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Circuits, Systems, and Signal Processing that you can download at the end.

6. How long does it usually take you to format my papers in Circuits, Systems, and Signal Processing?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Circuits, Systems, and Signal Processing.

7. Where can I find the template for the Circuits, Systems, and Signal Processing?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Circuits, Systems, and Signal Processing's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

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Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

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SciSpace's Circuits, Systems, and Signal Processing is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

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Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Circuits, Systems, and Signal Processing?”

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After writing your paper autoformatting in Circuits, Systems, and Signal Processing, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Circuits, Systems, and Signal Processing's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Circuits, Systems, and Signal Processing?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Circuits, Systems, and Signal Processing. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Circuits, Systems, and Signal Processing?

The 5 most common citation types in order of usage for Circuits, Systems, and Signal Processing are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Circuits, Systems, and Signal Processing?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Circuits, Systems, and Signal Processing's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Circuits, Systems, and Signal Processing in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Circuits, Systems, and Signal Processing Endnote style according to Elsevier guidelines.

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