本代码为自适应局部迭代滤波（ALIF）处理振动信号，内有可运行的示例（demo文件），添加了相关注释，matlab2018可以直接运行，其他版本请自行尝试。ALIF是2016年Antonio Cicone提出的一种自适应信号处理方法，原作者论文已附在压缩包中，代码中的示例效果并不代表最佳效果，只作为运行展示使用。

Multirate signal processing techniques are widely used in many areas of modern engineering such as communications, digital audio, measurements, image and signal processing, speech processing, and multimedia. Multirate Filtering for Digital Signal Processing: MATLAB Applications covers basic and advanced approaches in the design and implementation of multirate filtering. This authoritative volume considers the role of filters in multirate systems, provides efficient solutions of finite and infinite impulse response filters for sampling rate conversion, and discusses examples of multirate multilevel filter banks, offering a must-have book for practitioners and scholars in multirate signal processing.

The definitive textbook and professional reference on Kalman Filtering - fully updated, revised, and expanded This book contains the latest developments in the implementation and application of Kalman filtering. Authors Grewal and Andrews draw upon their decades of experience to offer an in-depth examination of the subtleties, common pitfalls, and limitations of estimation theory as it applies to real-world situations. They present many illustrative examples including adaptations for nonlinear filtering, global navigation satellite systems, the error modeling of gyros and accelerometers, inertial navigation systems, and freeway traffic control. Kalman Filtering: Theory and Practice Using MATLAB, Fourth Edition is an ideal textbook in advanced undergraduate and beginning graduate courses in stochastic processes and Kalman filtering. It is also appropriate for self-instruction or review by practicing engineers and scientists who want to learn more about this important topic.

自适应滤波算法与实现(第四版)，英文版，Paulo S. R. Diniz，2013

何凯明 引导滤波 以及 快速引导滤波 相关论文、PPT以及代码。 引导滤波：即需要引导图的滤波器，引导图可以是单独的图像或者是输入图像，当引导图为输入图像时，引导滤波就成为一个保持边缘的滤波操作，可以用于图像重建的滤波。

stereo matching using tree filtering 是杨庆雄老师的一个论文代码，关于立体匹配，发表在PAMI，同时是non-local的扩展

动 机： 利用图像I的局部信息去滤波图像q。 目 标： 使得图像q保持图像I所具有的局部信息。 本 质： 将空域滤波模型推广到基于图像信息的滤波。

Fundamentals of Kalman Filtering: A Practical Approach

高清PDF电子书， 关于卡尔曼滤波和小波的，经典书籍，第四版了 Kalman filtering is an optimal state estimation process applied to a dynamic system that involves random perturbations. More precisely, the Kalman filter gives a linear, unbiased, and minimum error variance recursive algorithm to optimally estimate the unknown state of a dynamic system from noisy data taken at discrete real-time. It has been widely used in many areas of industrial and government applications such as video and laser tracking systems, satellite navigation, ballistic missile trajectory estimation, radar, and fire control. With the recent development of high-speed computers, the Kalman filter has become more useful even for very complicated real-time applications. In spite of its importance, the mathematical theory of Kalman filtering and its implications are not well understood even among many applied mathematicians and engineers. In fact, most practitioners are just told what the filtering algorithms are without knowing why they work so well. One of the main objectives of this text is to disclose this mystery by presenting a fairly thorough discussion of its mathe- matical theory and applications to various elementary real-time problems

随即过程滤波的经典教材，Jazwinski的代表作，欢迎大家下载