Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
19480 | 503 | 18.6 | 41% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | ASYMPTOTIC DECISION BOUNDARY | authKW | 303527 | 1% | 100% | 5 |
2 | BAYESIAN DECISION FEEDBACK EQUALIZER | authKW | 303527 | 1% | 100% | 5 |
3 | MINIMUM BIT ERROR RATE | authKW | 277504 | 2% | 57% | 8 |
4 | EXTENDED BINARY PHASE SHIFT KEYING EBPSK | authKW | 242822 | 1% | 100% | 4 |
5 | POLYNOMIAL PERCEPTRON | authKW | 242822 | 1% | 100% | 4 |
6 | TURBO EQUALIZATION TEQ | authKW | 242822 | 1% | 100% | 4 |
7 | BAYESIAN EQUALIZER | authKW | 242818 | 1% | 67% | 6 |
8 | CHANNEL EQUALIZATION | authKW | 241414 | 5% | 17% | 23 |
9 | ADAPTIVE NONLINEAR EQUALIZER | authKW | 182116 | 1% | 100% | 3 |
10 | NONLINEAR CHANNEL EQUALIZERS | authKW | 182116 | 1% | 100% | 3 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Engineering, Electrical & Electronic | 8617 | 75% | 0% | 377 |
2 | Telecommunications | 7191 | 32% | 0% | 160 |
3 | Computer Science, Artificial Intelligence | 384 | 8% | 0% | 39 |
4 | Computer Science, Information Systems | 202 | 6% | 0% | 29 |
5 | Computer Science, Hardware & Architecture | 133 | 3% | 0% | 16 |
6 | Automation & Control Systems | 67 | 3% | 0% | 14 |
7 | Transportation Science & Technology | 67 | 2% | 0% | 8 |
8 | Computer Science, Cybernetics | 48 | 1% | 0% | 5 |
9 | Engineering, General | 18 | 2% | 0% | 10 |
10 | Computer Science, Theory & Methods | 11 | 2% | 0% | 10 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | SI CHUAN PROV SIGNAL INFORMAT PROC | 107916 | 1% | 44% | 4 |
2 | DICOM ETSII TELECOM | 60705 | 0% | 100% | 1 |
3 | DPTO TSC IT | 60705 | 0% | 100% | 1 |
4 | ESCUDA TECN SUPER INGN TELECOMUNICAC | 60705 | 0% | 100% | 1 |
5 | IETR INTITUT ELECT TELECOMMUN RENNES | 60705 | 0% | 100% | 1 |
6 | IMAGINE MIN | 60705 | 0% | 100% | 1 |
7 | INFORMAT CODING THEORY ENGN | 60705 | 0% | 100% | 1 |
8 | IT PL | 60705 | 0% | 100% | 1 |
9 | MOBILE TERMINALS CORE TECHNOL DEV | 60705 | 0% | 100% | 1 |
10 | NETWORK DEV DMC14 | 60705 | 0% | 100% | 1 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | IEE PROCEEDINGS-F RADAR AND SIGNAL PROCESSING | 37383 | 5% | 3% | 23 |
2 | SIGNAL PROCESSING | 18196 | 9% | 1% | 44 |
3 | IEE PROCEEDINGS-I COMMUNICATIONS SPEECH AND VISION | 17758 | 3% | 2% | 14 |
4 | JOURNAL OF THE INSTITUTION OF ELECTRONIC AND RADIO ENGINEERS | 13396 | 1% | 4% | 6 |
5 | RADIO AND ELECTRONIC ENGINEER | 10754 | 1% | 4% | 5 |
6 | IEEE TRANSACTIONS ON NEURAL NETWORKS | 7566 | 4% | 1% | 19 |
7 | IEEE TRANSACTIONS ON COMMUNICATIONS | 6857 | 7% | 0% | 33 |
8 | IEE PROCEEDINGS-COMMUNICATIONS | 6137 | 2% | 1% | 10 |
9 | IEEE TRANSACTIONS ON SIGNAL PROCESSING | 3510 | 5% | 0% | 24 |
10 | ELECTRONICS LETTERS | 2694 | 8% | 0% | 42 |
Author Key Words |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | ZHAO, HQ , ZENG, XP , HE, ZY , JIN, WD , LI, TR , (2012) COMPLEX-VALUED PIPELINED DECISION FEEDBACK RECURRENT NEURAL NETWORK FOR NON-LINEAR CHANNEL EQUALISATION.IET COMMUNICATIONS. VOL. 6. ISSUE 9. P. 1082 -1096 | 19 | 86% | 9 |
2 | ZHAO, HQ , ZENG, XP , ZHANG, JS , LI, TR , LIU, YG , RUAN, D , (2011) PIPELINED FUNCTIONAL LINK ARTIFICIAL RECURRENT NEURAL NETWORK WITH THE DECISION FEEDBACK STRUCTURE FOR NONLINEAR CHANNEL EQUALIZATION.INFORMATION SCIENCES. VOL. 181. ISSUE 17. P. 3677-3692 | 21 | 75% | 7 |
3 | CHEN, H , GONG, Y , HONG, X , CHEN, S , (2014) ADAPTIVE NONLINEAR EQUALIZER USING A MIXTURE OF GAUSSIAN-BASED ONLINE DENSITY ESTIMATOR.IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. VOL. 63. ISSUE 9. P. 4265 -4276 | 21 | 68% | 0 |
4 | ZHAO, HQ , ZENG, XP , ZHANG, XQ , ZHANG, JS , LIU, YG , WEI, T , (2011) AN ADAPTIVE DECISION FEEDBACK EQUALIZER BASED ON THE COMBINATION OF THE FIR AND FLNN.DIGITAL SIGNAL PROCESSING. VOL. 21. ISSUE 6. P. 679 -689 | 18 | 78% | 3 |
5 | ZHAO, HQ , ZENG, XP , ZHANG, JS , LI, TR , (2011) EQUALISATION OF NON-LINEAR TIME-VARYING CHANNELS USING A PIPELINED DECISION FEEDBACK RECURRENT NEURAL NETWORK FILTER IN WIRELESS COMMUNICATION SYSTEMS.IET COMMUNICATIONS. VOL. 5. ISSUE 3. P. 381-395 | 18 | 72% | 0 |
6 | CHEN, S , MULGREW, B , HANZO, L , (2003) LEAST BIT ERROR RATE ADAPTIVE NONLINEAR EQUALISERS FOR BINARY SIGNALLING.IEE PROCEEDINGS-COMMUNICATIONS. VOL. 150. ISSUE 1. P. 29 -36 | 17 | 89% | 10 |
7 | CHEN, S , TAN, S , XU, L , HANZO, L , (2008) ADAPTIVE MINIMUM ERROR-RATE FILTERING DESIGN: A REVIEW.SIGNAL PROCESSING. VOL. 88. ISSUE 7. P. 1671 -1697 | 25 | 51% | 16 |
8 | ZHAO, HQ , ZHANG, JS , (2009) ADAPTIVELY COMBINED FIR AND FUNCTIONAL LINK ARTIFICIAL NEURAL NETWORK EQUALIZER FOR NONLINEAR COMMUNICATION CHANNEL.IEEE TRANSACTIONS ON NEURAL NETWORKS. VOL. 20. ISSUE 4. P. 665-674 | 16 | 73% | 27 |
9 | ZHAO, HQ , ZHANG, JS , (2008) FUNCTIONAL LINK NEURAL NETWORK CASCADED WITH CHEBYSHEV ORTHOGONAL POLYNOMIAL FOR NONLINEAR CHANNEL EQUALIZATION.SIGNAL PROCESSING. VOL. 88. ISSUE 8. P. 1946-1957 | 14 | 78% | 18 |
10 | BURSE, K , YADAV, RN , SHRIVASTAVA, SC , (2010) CHANNEL EQUALIZATION USING NEURAL NETWORKS: A REVIEW.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS. VOL. 40. ISSUE 3. P. 352-357 | 17 | 46% | 40 |
Classes with closest relation at Level 1 |