Matches in SemOpenAlex for { <https://semopenalex.org/work/W2040002456> ?p ?o ?g. }
Showing items 1 to 55 of
55
with 100 items per page.
- W2040002456 endingPage "26" @default.
- W2040002456 startingPage "20" @default.
- W2040002456 abstract "radar, communication to extend the range resolution. Sequences with good discriminating and merit factor are useful for channel estimation, radar and spread spectrum communication application. Binary sequence has the limitation that the compression ratio is small. Ternary alphabets are suggested as an alternative. The design of ternary codes with good merit factor and discriminating factor can be considered as a nonlinear multivariable mathematical problem which is difficult find a optimal solution. To get the solution for the this problem many global optimization algorithms like Simulated Annealing Algorithm(SA), Genetic Algorithm (GA), Tunneling algorithm (TA) and particle swarm optimization algorithm (PSO) could be used.Further a set of pulse compression sequence are required for spread spectrum and CDMA application such that the individual autocorrelation function of each sequence is like an impulse and the cross correlation between any two sequences in the set must be zero for all lags unfortunately.In this paper, it is proposed to use a new method of algorithm for the design of best ternary codes sets for various lengths by using Modified Simulated Annealing Algorithm. The general features such as global convergence and robustness of the statistical algorithm are revealed." @default.
- W2040002456 created "2016-06-24" @default.
- W2040002456 creator A5015935119 @default.
- W2040002456 creator A5027822156 @default.
- W2040002456 creator A5064555935 @default.
- W2040002456 date "2015-04-22" @default.
- W2040002456 modified "2023-10-18" @default.
- W2040002456 title "Design of Ternary Codes for Various Lengths using MSAA" @default.
- W2040002456 cites W1999055949 @default.
- W2040002456 cites W2002147512 @default.
- W2040002456 cites W2017922205 @default.
- W2040002456 cites W2036282312 @default.
- W2040002456 cites W2041306169 @default.
- W2040002456 cites W2059008077 @default.
- W2040002456 cites W2112887000 @default.
- W2040002456 cites W2130660338 @default.
- W2040002456 cites W2157871425 @default.
- W2040002456 cites W2158713929 @default.
- W2040002456 doi "https://doi.org/10.5120/20340-2130" @default.
- W2040002456 hasPublicationYear "2015" @default.
- W2040002456 type Work @default.
- W2040002456 sameAs 2040002456 @default.
- W2040002456 citedByCount "0" @default.
- W2040002456 crossrefType "journal-article" @default.
- W2040002456 hasAuthorship W2040002456A5015935119 @default.
- W2040002456 hasAuthorship W2040002456A5027822156 @default.
- W2040002456 hasAuthorship W2040002456A5064555935 @default.
- W2040002456 hasBestOaLocation W20400024561 @default.
- W2040002456 hasConcept C199360897 @default.
- W2040002456 hasConcept C41008148 @default.
- W2040002456 hasConcept C64452783 @default.
- W2040002456 hasConceptScore W2040002456C199360897 @default.
- W2040002456 hasConceptScore W2040002456C41008148 @default.
- W2040002456 hasConceptScore W2040002456C64452783 @default.
- W2040002456 hasIssue "6" @default.
- W2040002456 hasLocation W20400024561 @default.
- W2040002456 hasOpenAccess W2040002456 @default.
- W2040002456 hasPrimaryLocation W20400024561 @default.
- W2040002456 hasRelatedWork W2096946506 @default.
- W2040002456 hasRelatedWork W2130043461 @default.
- W2040002456 hasRelatedWork W2350741829 @default.
- W2040002456 hasRelatedWork W2358668433 @default.
- W2040002456 hasRelatedWork W2376932109 @default.
- W2040002456 hasRelatedWork W2382290278 @default.
- W2040002456 hasRelatedWork W2390279801 @default.
- W2040002456 hasRelatedWork W2748952813 @default.
- W2040002456 hasRelatedWork W2899084033 @default.
- W2040002456 hasRelatedWork W3004735627 @default.
- W2040002456 hasVolume "116" @default.
- W2040002456 isParatext "false" @default.
- W2040002456 isRetracted "false" @default.
- W2040002456 magId "2040002456" @default.
- W2040002456 workType "article" @default.