PlatformIO项目示例 ： 开发平台 嵌入式的 技嘉GD32V 英飞凌XMC 英特尔ARC32 英特尔MCS-51（8051） 肯德利K210 莱迪思iCE40 美心32 单片机PIC32 北欧nRF51 北欧nRF52 细胞核 恩智浦i.MX RT 恩智浦LPC OpenHW集团 树莓派RP2040 RISC-V差距 沙克蒂 SiFive Silicon Labs EFM32 ST STM32 ST STM8 青少年 德州仪器MSP430 TI TIVA WIZNet W7500 桌面 Linux ARM Linux i686 Linux x86_64 本国的 Windows x86 构架 Arduino的 信息系统 ESP8266 Non-OS SDK ESP8266 RTOS SDK 乐鑫物联网开发框架 FreeRTOS

npoi 2.1.1 examples net2.0 net 4.0

Phaser 3脊柱示例 使用Phaser v3.21.0和Spine v3.8.78 换皮 更改动画 变更附件 有什么问题吗 在Phaser论坛中查看 。 移相器入门模板 寻找功能强大的Phaser入门模板？ 试试或

springboot中关于redis的一些基础操作，适合基础学习者！

时间序列分析 经典教材 The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty. The book is designed as a textbook for graduate level students in the physical, biological, and social sciences and as a graduate level text in statistics. Some parts may also serve as an undergraduate introductory course. Theory and methodology are separated to allow presentations on different levels. In addition to coverage of classical methods of time series regression, ARIMA models, spectral analysis and state-space models, the text includes modern developments including categorical time series analysis, multivariate spectral methods, long memory series, nonlinear models, resampling techniques, GARCH models, ARMAX models, stochastic volatility, wavelets, and Markov chain Monte Carlo integration methods. This edition includes R code for each numerical example in addition to Appendix R, which provides a reference for the data sets and R scripts used in the text in addition to a tutorial on basic R commands and R time series. An additional file is available on the book’s website for download, making all the data sets and scripts easy to load into R.

官方离线安装包，测试可用。使用rpm -ivh [rpm完整包名] 进行安装

TensorFlow_Lite_Pose_Jetson-Nano 在Jetson Nano上运行的TensorFlow Lite Posenet 在Jetson Nano上的TensorFlow Lite Posenet的快速C ++实现。 一旦超频至2015 MHz，该应用程序将以15.2 FPS的速度运行。 基准。 CPU 2015兆赫 GPU 2015 MHz CPU 1479兆赫 GPU 1479 MHZ RPi 4 64os 1950 MHz 15.2帧/秒 11.8帧/秒 12 FPS 11 FPS 9.4帧/秒 专为Jetson Nano设计的产品，请参阅 依赖关系。 要运行该应用程序，您必须： 已安装TensorFlow Lite框架。 安装了可选的OpenCV。 代码：：已安装块。 （ $ sudo apt-get install codebloc

MySQL学习系列SQL案例

unity kinect的插件，版本2.13，添加了获取关节速度的接口。

Digital Signal Processing with Matlab Examples, Vol. 2：Decomposition, Recovery, Data-Based Actions，2017.(944s).pdf