an4566-extending-the-dac-performance-of-stm32-microcontrollers-stmicroelectronic

最新的STM32H7系列微控制器PCB封装库，使用Altium Designer 19绘制，包含原理图库、封装库和3D模型。

Microchip PIC32 C programming

NXP Microcontrollers ARM7 全系列原理图库+PCB封装库（AD集成库.IntLib后缀文件，拆分后文件为PcbLib+SchLib格式，Altium Designer原理图库+PCB封装库，集成库型号列表如下： LPC2101FBD48,151 16/32-bit ARM7 Microcontroller, 32 I/O, 8 kB Flash, 2 kB SRAM, -40 to 85 degC, 48-Pin LQFP, Tray LPC2102FBD48,118 16/32-bit ARM7 Microcontroller, 32 I/O, 16 kB Flash, 4 kB SRAM, -40 to 85 degC, 48-Pin LQFP, Reel LPC2102FBD48,151 16/32-bit ARM7 Microcontroller, 32 I/O, 16 kB Flash, 4 kB SRAM, -40 to 85 degC, 48-Pin LQFP, Tray LPC2102FHN48 16/32-bit ARM7 Microcontroller, 32 I/O, 16 kB Flash, 4 kB SRAM, -40 to 85 degC, 48-Pin HVQFN, Tray LPC2103FBD48,118 16/32-bit ARM7 Microcontroller, 32 I/O, 32 kB Flash, 8 kB SRAM, -40 to 85 degC, 48-Pin LQFP, Reel LPC2103FBD48,151 16/32-bit ARM7 Microcontroller, 32 I/O, 32 kB Flash, 8 kB SRAM, -40 to 85 degC, 48-Pin LQFP, Tray LPC2103FHN48 16/32-bit ARM7 Microcontroller, 32 I/O, 32 kB Flash, 8 kB SRAM, -40 to 85 degC, 48-Pin HVQFN, Tray LPC2103FHN48H 16/32-bit ARM7 Microcontroller, 32 I/O, 32 kB Flash, 8 kB SRAM, -40 to 85 degC, 48-Pin HVQFN, Reel LPC2104BBD48 16/32-bit ARM7 Microcontroller, 32 I/O, 128 kB Flash, 16 kB SRAM, 0 to 70 degC, 48-Pin LQFP, Tray LPC2104FBD48/01,15 16/32-bit ARM7 Microcontroller, 32 I/O, 128 kB Flash, 16 kB SRAM, -40 to 85 degC, 48-Pin LQFP, Tray LPC2105BBD48 16/32-bit ARM7 Microcontroller, 32 I/O, 128 kB Flash, 32 kB SRAM, 0 to 70 degC, 48-Pin LQFP, Tray LPC2105FBD48/00 16/32-bit ARM7 Microcontroller, 32 I/O, 128 kB Flash, 32 kB SRAM, -40 to 85 degC, 48-Pin LQFP LPC2106BBD48 16/32-bit ARM7 Microcontroller, 32 I/O, 128 kB Flash, 64 kB SRAM, 0 to 70 degC, 48-Pin LQFP, Tray LPC2106FBD48/01,15 16/32-bit ARM7 Microcontroller, 32 I/O, 128 kB Flash, 64 kB SRAM, -40 to 85 degC, 48-Pin LQFP, Tray LPC2106FHN48/01,55 16/32-bit ARM7 Microcontroller, 32 I/O, 128 kB Flash, 64 kB SRAM, -40 to 85 degC, 48-Pin HVQFN, Tray LPC2109FBD64/01,15 16/32-bit ARM7 Microcontroller, 46 I/O, 64 kB Flash, 8 kB SRAM, -40 to 85 degC, 64-Pin

TMS320F2837xD数据手册

arduino-pid-autotuner：使用Ziegler-Nicholsrelay方法对包括Arduino在内的微控制器进行自动PID调整

TinyML Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers by Pete Warden, Daniel Situnayake Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. * Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures * Work with Arduino and ultra-low-power microcontrollers

经典的PIC单片机电子书 Programming.32-bit.Microcontrollers.in.C.Exploring.the.PIC32.Apr.2008