About

Acycle logo

ACYCLE

Time series analysis plays a fundamental role in the natural sciences. In growing important geoscience application, recognition and interpretation of climate signals in proxy records can be time consuming and subjective.

Three reasons motivated the development of the Acycle time series analysis program:

(1) There is a need to broaden and encourage the experience of time series analysis in the geosciences, especially in paleoclimatology and cyclostratigraphy.

(2) There is a need to speed the process for the time-series analysis steps, which can be very time-consuming.

(3) There is a need to provide objective methods for the analysis of paleoclimate signals as reproducibility becomes a major challenge.

We acknowledge our inspiring freeware predecessors: Analyseries, Arand, and Astrochron.


Contributors

Mingsong Li

Peking University
msli {at} pku.edu.cn ; limingsonglms {at} gmail.com

Linda A. Hinnov

co-author

, Lee R. Kump

co-author

, Jacques Laskar

Astronomical Solutions

, Richard Zeebe

Astronomical Solutions

, Jonathan Levine

Insolation

, Peter Huybers

Insolation

, Matthias Sinnesael

Spectral Moments

, Nicolas R. Thibault

Dynamic Filtering

, Giovanni Rizzi

Dynamic Filtering

, Christopher Torrence

Wavelet

, Gilbert P. Compo

Wavelet

, Yonggang Liu

Wavelet

, Aslak Grinsted

WTC, XWT

, Jeffrey Park

Multitaper Adaptive Weighting, Harmonic F-Test

, Eric Ruggieri

Bayesian Change Point

, Graham P. Weedon

SWA

, Bryan C. Lougheed

Undatable

, Stephen P. Obrochta

Undatable


Thanks

We gratefully acknowledge the following colleagues for suggestions, testing, feedback, bug reports, documentation, and other support through Acycle v3.1.1:

Anne-Christine Da Silva, Arsenio Muñoz Jiménez, Chen Shen, Christian Zeeden, Chuanyue Wang, Daniel R. Franco, David A. Hodell, Deke Xu, Dongyang Liu, Dorothée Husson, Feng Cheng, Frits Hilgen, Haotian Zhang, Haoxun Zhang, Hanyu Zhu, Hewei Duan, Ilja Kocken, J. Fred Read, James Ogg, Jaume Dinarès-Turell, Kunyuan Ma, Lucas Lourens, Marco Franceschi, Masayuki Ikeda, Mathieu Martinez, Meng Wang, Mengyao Du, Michael Schulz, Mingdao Sun, Paul Olsen, Qiyan Zhang, Stephen Meyers, Victor A. Piedrahita Velez, Xiaoni Hu, Xiaoyu Zhang, Xu Yao, Y Bin, Yan Zhao (赵艳), Yanan Fang, Yang (Wendy) Zhang, Yujing Wu, Ze Zhang, Zheng Gong, Zhengtang Guo, Zhenglei Wu, Zhixin Wang


Funding

National Key R&D Program of China

China

National Natural Science Foundation of China

China

, Heising-Simons Foundation

USA

, Pennsylvania State University

USA

, Peking University

China

, George Mason University

USA


History

  • Acycle v3.1.1

    MATLAB Runtime R2026a Update 4

    August 13, 2026

    • 1. Bispectral analysis

      2. EMD/EEMD restored

      3. Reusable programmatic analysis interfaces

  • Acycle v3.0

    MATLAB Runtime R2026a

    July 28, 2026

    • 1. COCO 2.0

      2. Univariate / Bivariate

      3. Rebuilt GUI

  • Acycle v2.8

    MatLab RUNTIME 2020b

    Oct. 19, 2023

    • 1. Data transformations

      2. Column manipulate

      3. Moving Average - Fixed Bandwidth

      4. Amplitude Modulation

  • Acycle v2.7

    MatLab RUNTIME 2020b

    Oct. 10, 2023

    • 1. Graham Weedon's SWA method

      2. Undatable

      3. Japanese and other language versions

  • Acycle v2.6

    MatLab RUNTIME 2020b

    Jan. 18, 2023

    • 1. Recurrence Plot

      2. Plot Pro

      3. Chinese version 简体中文版

      4. Traditional Chinese version (繁体中文版)

  • Acycle v2.5

    MatLab RUNTIME 2020b

    Nov. 30, 2022

    • 1. Interpolation Pro

      2. Image - Image Profile

      3. PCA

  • Acycle v2.4.1

    MatLab RUNTIME 2020b

    Dec. 12, 2021

    • 1. Interpolation Pro (New!)

      2. Wavelet coherence

      3. Wavelet cross spectrum

      4. Plot - Convert to sound

  • Acycle v2.4

    MatLab RUNTIME 2020b

    Nov. 22, 2021

    • 1. Newly designed Wavelet GUI

      2. Wavelet coherence and cross-spectrum

      3. Milankovitch Calculator (Waltham, 2015)

  • Acycle v2.3

    MatLab RUNTIME 2020b

    May 30, 2021

    • 1. Circular spectral analysis: Added.

      2. Sort listbox based on size/date/name.

    • 3. Bug fixed.

  • acycle.org

    New official website

    Feb. 4, 2021

    • acycle.org

  • Acycle v2.2

    MatLab RUNTIME 2019a

    June 6, 2020

    • 1. Power spectral analysis: Updated.

      2. Add curve fitting method for robust AR1 confidence level estimations.

    • 3. Add a new tool: Basic Series -> Length-of-day & day-of-year.

  • Acycle v2.1

    MatLab RUNTIME 2019a

    Feb. 23, 2020

    • 1. Update Spectral Moments section.

      2. Include f-test and amplitude spectrum.

  • Acycle v2.0

    MatLab RUNTIME 2019a

    Sept 2, 2019

    • 1. Completely redesign the GUI for the COCO and eCOCO

      2. Add the "Spectral Moments" tool.

  • Acycle v1.3

    MatLab RUNTIME 2015b

    Aug 6, 2019

    • 1. Update the Spectral Analysis toolbox.

      2. Automatic update.

  • Acycle v1.2

    MatLab RUNTIME 2015b

    May 20, 2019

    • 1. Signal/Noise generator.

      2. Evolutionary spectral analysis: add one option for zero-padding top and bottom of series.

      3. COCO: detect test limits of sedimentation rate automatically.

  • Acycle v1.1

    MatLab RUNTIME 2015b

    April 6, 2019

    • 1. eCOCO: save optimal sed. rate as a text file.

      2. Mini-robot GUI.

  • Acycle 1.0

    MatLab RUNTIME 2015b

    Mar. 8, 2019

    • 1. Acycle paper has been accepted:

      Mingsong Li, Linda Hinnov, Lee Kump. 2019. Acycle: Time-series analysis software for paleoclimate projects and education, Computers & Geosciences, 127: 12-22

    • 2. Refine GUIs of Detrending, Spectral Analysis, Evolutionary Spectral Analysis, Filtering, etc.

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