Iterative Amplitude-adjusted Wavelet Transform for Time Series Randomization

影像融合，小波变换，基于MATLAB的实现方法，小波分解后用全色影像替代多光谱影像。

以下是Matlab中与小波变换相关的常用命令和函数，这些函数来自小波分析工具箱。共包括11部分内容，帮助你掌握小波变换在Matlab中的实现。 wavedec - 小波分解 waverec - 小波重构 dwt - 单层离散小波变换 idwt - 单层离散小波逆变换 wavelist - 显示所有可用的小波函数 wavedec2 - 二维小波分解 waverec2 - 二维小波重构 dwt2 - 二维离散小波变换 idwt2 - 二维离散小波逆变换 cwt - 连续小波变换 icwt - 连续小波逆变换 这些命令可以帮助你在Matlab中实现各种类型的小波变换，进行信号处理、数据压缩等应用。

Time Series Database (TSDB) is a database system specifically designed for efficiently storing, managing, and processing time series data. This type of data typically involves numerical values associated with specific timestamps, commonly found in monitoring, IoT, financial transactions, and operational analytics. This article explores several key NoSQL time series databases, including InfluxDB, ScyllaDB, CrateDB, and Riak TS, as well as Apache Druid, highlighting their characteristics and application scenarios. 1. InfluxDB InfluxDB, developed by InfluxData, is an open-source time series database designed for real-time analysis and big data. It features high write performance and low-latency query capabilities, supporting complex time series data queries. InfluxDB is particularly suited for handling data from sensors, logs, metrics, and is widely used in monitoring systems, IoT applications, and real-time analysis scenarios. 2. ScyllaDB ScyllaDB is a high-performance distributed database based on Apache Cassandra. It offers higher throughput and lower latency than native Cassandra. Its optimized time series data processing capabilities make it ideal for real-time applications such as monitoring and log analysis. ScyllaDB supports multi-data center deployments to ensure high availability and consistency of data. 3. CrateDB CrateDB is a column-oriented distributed SQL database that can handle large-scale time series data. It provides a SQL interface, making time series data operations more familiar to traditional database users. CrateDB is suitable for projects that require rapid analysis of large amounts of time series data and prefer using SQL for querying. 4. Riak TS Developed by Basho Technologies, Riak TS is a NoSQL solution focused on time series data. It inherits the core features of Riak, such as high availability and scalability. Riak TS is suitable for applications that need to store and retrieve time series data in a distributed environment, such as recording equipment status in the telecommunications or energy industries. 5. Apache Druid Although Druid is not a traditional NoSQL database, it is a columnar data store designed for real-time analytics. Druid is renowned for its excellent Online Analytical Processing (OLAP) performance and low-latency query capabilities, making it suitable for big data real-time analysis and business intelligence applications. These databases each have their strengths. InfluxDB and Druid excel in real-time analytics, ScyllaDB and CrateDB offer powerful distributed processing capabilities, while Riak TS specializes in distributed storage and retrieval. Developers should consider data scale, performance requirements, query complexity, SQL support, and team expertise when choosing a solution.

Acycle: Acycle是一个用于研究和教育的时间序列分析软件，提供强大的分析工具和用户友好的界面，适合学术研究和教学使用。

该代码有助于填补时间序列数据中的空白。为此，它需要一个缺少日期和时间的 DateTime 数组以及具有相应缺失值的 测量数组。它将检查日期数组中缺少的日期，并为测量数组中的相应日期填充 NaN，这将有助于获取连续的时间序列数据。

Periods是一个函数，其目的是找到时间序列数据的主要谐波分量。该函数获取时间序列中主要谐波分量的周期、幅度和滞后相位。它基于循环下降的周期性回归方法，包括统计显著性检验。上述功能非常易于使用，并不需要用户完全理解时间序列理论或大量输入，但足够灵活以承担更复杂的任务，例如预测。此外，根据先前的知识，可以轻松地包括或排除特定时期。González-Rodríguez, E.等人提供了有关如何使用该功能的参考资料和更详细的信息；（2015）时间序列中周期的提取和建模的计算方法。开放统计杂志，5, 604-617。http://dx.doi.org/10.4236/ojs.2015.56062。Periods在MATLAB 2013a版本及后续版本上进行了测试。任何问题/意见都可以通过电子邮件发送至egonzale@cice

基于 MATLAB 的图像 二维小波变换，以及图像 重建。通过小波变换，可以有效地对图像进行压缩和去噪，从而提高图像质量。将介绍如何使用 MATLAB 实现这一过程，包含相关代码示例和关键步骤的详细说明。

This Chaos Time Series Toolbox includes a variety of MATLAB programs for analyzing chaotic time series. The toolbox features methods for calculating delay time, embedding dimension, and various prediction techniques. The provided code is fully functional and ready to run, ensuring an effective and reliable approach to chaotic data analysis.

该程序使用 Matlab 实现了 小波变换 彩色图像的 水印嵌入 和 提取。通过小波变换对图像进行多尺度分解，将水印信息嵌入到高频子带中，从而保证图像质量的同时实现水印的隐蔽性和鲁棒性。程序支持彩色图像的处理，并提供了水印提取功能，确保水印信息可以在图像受到一定程度攻击后仍然能够恢复。