1.Transformer原文 2.ViT原文 3.Transformer综述 4.博客：ViT 简单理解 Vision Transformer 地址：https://blog.csdn.net/weixin_43312117/article/details/122922513?spm=1001.2014.3001.5501

Title: Fast Fourier Transform - Algorithms and Applications Author(s): K.R. Rao, D.N. Kim, J.-J. Hwang (auth.) Series: Signals and Communication Technology Publisher: Springer Netherlands Year: 2010 Edition: 1 Language: English Pages (biblio\tech): 426\437 ISBN: 1402066287, 9781402066283 Fast Fourier Transform - Algorithms and Applications presents an introduction to the principles of the fast Fourier transform (FFT). It covers FFTs, frequency domain filtering, and applications to video and audio signal processing. As fields like communications, speech and image processing, and related areas are rapidly developing, the FFT as one of the essential parts in digital signal processing has been widely used. Thus there is a pressing need from instructors and students for a book dealing with the latest FFT topics. Fast Fourier Transform - Algorithms and Applications provides a thorough and detailed explanation of important or up-to-date FFTs. It also has adopted modern approaches like MATLAB examples and projects for better understanding of diverse FFTs. Fast Fourier Transform - Algorithms and Applications is designed for senior undergraduate and graduate students, faculty, engineers, and scientists in the field, and self-learners to understand FFTs and directly apply them to their fields, efficiently. It is designed to be both a text and a reference. Thus examples, projects and problems all tied with MATLAB, are provided for grasping the concepts concretely. It also includes references to books and review papers and lists of applications, hardware/software, and useful websites. By including many figures, tables, bock diagrams and graphs, this book helps the reader understand the concepts of fast algorithms readily and intuitively. It provides new MATLAB functions and MATLAB source codes. The material in Fast Fourier Transform - Algorithms and Applications is presented without assuming any prior knowledge of FFT. This book is for any professional who wants to have a basic understanding of the latest developments in and applications of FFT. It provides a good reference for any engineer planning to work in this field, either in basic implementation or in research and development. Table of contents : Front Matter....Pages i-xviii Introduction....Pages 1-3 Discrete Fourier Transform....Pages 5-40 Fast Algorithms....Pages 41-110 Integer Fast Fourier Transform....Pages 111-126 Two-Dimensional Discrete Fourier Transform....Pages 127-184 Vector-Radix 2D-FFT Algorithms....Pages 185-193 Nonuniform DFT....Pages 195-234 Applications....Pages 235-316 Back Matter....Pages 317-423

在Unity的game面板显示物体的坐标轴，并实现物体的移动旋转和缩放。

unity- transform插件 RuntimeTransformGizmos 运行时模拟Scene视图下的transform相关操作

1.单列运算 在Pandas中，DataFrame的一列就是一个Series, 可以通过map来对一列进行操作： df['col2'] = df['col1'].map(lambda x: x**2) 其中lambda函数中的x代表当前元素。可以使用另外的函数来代替lambda函数，例如： define square(x): return (x ** 2) df['col2'] = df['col1'].map(square) 2.多列运算  apply()会将待处理的对象拆分成多个片段，然后对各片段调用传入的函数，最后尝试将各片段组合到一起。 要对DataFrame的多个列同时进

Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. The goal of R for Data Science is to help you learn the most important tools in R that will allow you to do data science. After reading this book, you’ll have the tools to tackle a wide variety of data science challenges, using the best parts of R.

nicely organized and thoroughly pedagogical handbook … The book is very much 'figure driven' and they are extremely useful for illustrating the mathematics and conveying the concepts in an uncomplicated matter … an eminently readable style in motivating and explaining wavelets throughout the course … this book, written as it is in a simple, forthright, and stimulating manner with balanced blend will prove a worthy addition to the understanding of wavelet transforms across disciplines. -Guruprasad Madhavan, Stony Brook Heart Center, IEEE-EMBS The book works on two levels: it is an excellent introduction for readers new to wavelet transforms, and it is a useful source of information and some inspiration to anyone who has been working in the field for some time. … The book presents the field in an authoritative way but not too deeply. It has been designed as an overview and introduction to this dynamic area of computational analysis, and it achieves this with complete success. To conclude, I found this a thought provoking book on a fascinating subject: in fact once into the text I found it hard to put down. -Dr. K.O. Jones, Measurement+Control, Vol. 36/7, Sept. 2003 The book is extremely well put together and lavishly illustrated (as one might infer from the title). … I largely enjoyed reading this book and I strongly recommend it to anyone with an interest in wavelets, or in the general field of signal processing for that matter. -Keith Worden, Journal of Sound and Vibration, 274 (2004) 1135-1136 The book … provide[s] the reader with an overview of theory and practical applications of wavelet transforms methods, a new time-frequency decomposition tool for data analysis … The book can be recommended to the people interested above all in applications in science, engineering, medicine, finance, or elsewhere. An account of the theory of continuous and discrete wavelet transforms, with a large number of examples of their use across a wide range of disciplines, is convenient both for newcomers to the subject ad readers already acquainted with wavelets methods working in particular area of application. -Miloslav Duchori Illustrations really do help in understanding wavelet transforms. It might be taken for granted that illustrations can aid in the understanding of a subject matter as this, but there is sound logical reasoning behind this claim that makes it especially true for this particular subject matter and also a great motivation for the text. This handbook goes the distance and shows that wavelet transforms are powerful data analysis tools that readily lend themselves to intuitive visual analysis and graphical representation, both of which can be critical to correct analysis in practice. -Raymond Martin

<head lang="en"> <meta charset="UTF-8"> <title>css3 animation transform鱼游动特效</title> <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1" /> <meta name="viewport" content="width=device-width, user-scalable=no, initial-scale=1.0, maximum-scale=1.0, minimum-scale=1.0"> <style> body{ background-color: lightblue; overflow:hidden; } .fishbox{ width: 200px; height: 200px; /*background-color: rgba(0,0,0,0.4);*/ position: absolute; left:0; top:0; animation: run 20s linear infinite; animation-direction: normal; } .fish{ width: 174px; height: 126px; position: absolute; left:35%; top:0; background:url(image/fish8.png) no-repeat left top; /*transition:all 0.8s steps(8) ;*/ animation:active1 0.8s steps(8) infinite; 这是一款基于css3 animation transform属性制作的鱼游动动画特效，用background-position属性实现两条游动追逐的鱼。

transition、transform、translate的区别.md

二维连续小波变换Matlab源代码，超级宝贵的资源，无私分享。