Mixing Bandt-Pompe and Lempel-Ziv approaches: another way to analyze the complexity of continuous-states sequences
In this paper, we propose to mix the approach underlying Bandt-Pompe permutation entropy with Lempel-Ziv complexity, to design what we call Lempel-Ziv permutation complexity. The principle consists of two steps: (i) transformation of a continuous-state series that is intrinsically multivariate or ar...
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| Autores principales: | , , |
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| Formato: | Articulo Preprint |
| Lenguaje: | Inglés |
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2014
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/132354 |
| Aporte de: |
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I19-R120-10915-132354 |
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| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Física Lempel–Ziv permutation complexity permutation vectors quantization continuous-state data analysis |
| spellingShingle |
Física Lempel–Ziv permutation complexity permutation vectors quantization continuous-state data analysis Zozor, Steeve Mateos, Diego M. Lamberti, P. W. Mixing Bandt-Pompe and Lempel-Ziv approaches: another way to analyze the complexity of continuous-states sequences |
| topic_facet |
Física Lempel–Ziv permutation complexity permutation vectors quantization continuous-state data analysis |
| description |
In this paper, we propose to mix the approach underlying Bandt-Pompe permutation entropy with Lempel-Ziv complexity, to design what we call Lempel-Ziv permutation complexity. The principle consists of two steps: (i) transformation of a continuous-state series that is intrinsically multivariate or arises from embedding into a sequence of permutation vectors, where the components are the positions of the components of the initial vector when re-arranged; (ii) performing the Lempel-Ziv complexity for this series of `symbols', as part of a discrete finite-size alphabet. On the one hand, the permutation entropy of Bandt-Pompe aims at the study of the entropy of such a sequence; i.e., the entropy of patterns in a sequence (e.g., local increases or decreases). On the other hand, the Lempel-Ziv complexity of a discrete-state sequence aims at the study of the temporal organization of the symbols (i.e., the rate of compressibility of the sequence). Thus, the Lempel-Ziv permutation complexity aims to take advantage of both of these methods. The potential from such a combined approach - of a permutation procedure and a complexity analysis - is evaluated through the illustration of some simulated data and some real data. In both cases, we compare the individual approaches and the combined approach. |
| format |
Articulo Preprint |
| author |
Zozor, Steeve Mateos, Diego M. Lamberti, P. W. |
| author_facet |
Zozor, Steeve Mateos, Diego M. Lamberti, P. W. |
| author_sort |
Zozor, Steeve |
| title |
Mixing Bandt-Pompe and Lempel-Ziv approaches: another way to analyze the complexity of continuous-states sequences |
| title_short |
Mixing Bandt-Pompe and Lempel-Ziv approaches: another way to analyze the complexity of continuous-states sequences |
| title_full |
Mixing Bandt-Pompe and Lempel-Ziv approaches: another way to analyze the complexity of continuous-states sequences |
| title_fullStr |
Mixing Bandt-Pompe and Lempel-Ziv approaches: another way to analyze the complexity of continuous-states sequences |
| title_full_unstemmed |
Mixing Bandt-Pompe and Lempel-Ziv approaches: another way to analyze the complexity of continuous-states sequences |
| title_sort |
mixing bandt-pompe and lempel-ziv approaches: another way to analyze the complexity of continuous-states sequences |
| publishDate |
2014 |
| url |
http://sedici.unlp.edu.ar/handle/10915/132354 |
| work_keys_str_mv |
AT zozorsteeve mixingbandtpompeandlempelzivapproachesanotherwaytoanalyzethecomplexityofcontinuousstatessequences AT mateosdiegom mixingbandtpompeandlempelzivapproachesanotherwaytoanalyzethecomplexityofcontinuousstatessequences AT lambertipw mixingbandtpompeandlempelzivapproachesanotherwaytoanalyzethecomplexityofcontinuousstatessequences |
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Repositorios |
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1764820456362213376 |