FUZZY LOGIC BASED SIGNAL PROCESSING FOR SINGULARITY DETECTION

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

SETAREDAN S.K.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Year:2006 | Volume:40 | Issue:3 (97) Page(s): 399-409

Download Full-Text

View:

277

Download:

Cites:

Information Journal Paper

Title

FUZZY LOGIC BASED SIGNAL PROCESSING FOR SINGULARITY DETECTION

Author(s)

SETAREDAN S.K. | Issue Writer Certificate

Keywords

Not Registered.

Abstract

Most useful information in different kind of signals is usually carried by such singularities as the edges and peaks. Examples of such signals include Radar signals, the signals generated by the digital communication systems and biological signals (such as ECG, EEG and even medical images). Therefore, extraction and locating these singularities is a main and an initial common step in most of the signal and image processing application. In this paper a new multi-resolution based method for automatically extraction of singular points within the signals is presented where the information at various signal resolutions is combined together in a novel fuzzy manner. In the proposed algorithm, first, the multiresolution description of the signal is obtained using the wavelet transform. The information at each wavelet transform scale is next transformed into a fuzzy subset of the signal by means of appropriate fuzzy flying functions for each kind of the singularities (edges or peaks). The resulting fuzzy subsets describe to what degree any sample point from the signal domain can represent a singularity at that particular scale. Finally, combining the information at various fuzzy subsets of the signal by means of the fuzzy operators, the sample points with the highest possibility of coincidence with a singularity are identified. The superiority of the proposed algorithm in comparison to the commonly used techniques is shown using various synthetic and real signals.

Cites

No record.

References

No record.

Cite

APA: Copy

SETAREDAN, S.K.. (2006). FUZZY LOGIC BASED SIGNAL PROCESSING FOR SINGULARITY DETECTION. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN), 40(3 (97)), 399-409. SID. https://sid.ir/paper/533195/en

Vancouver: Copy

SETAREDAN S.K.. FUZZY LOGIC BASED SIGNAL PROCESSING FOR SINGULARITY DETECTION. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN)[Internet]. 2006;40(3 (97)):399-409. Available from: https://sid.ir/paper/533195/en

IEEE: Copy

S.K. SETAREDAN, “FUZZY LOGIC BASED SIGNAL PROCESSING FOR SINGULARITY DETECTION,” JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN), vol. 40, no. 3 (97), pp. 399–409, 2006, [Online]. Available: https://sid.ir/paper/533195/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops