嵌入式控制系统的很经典的一本书，作者是UC Berkeley的Edward Ashford Lee。也是最早提出CPS的一批人之一。此为英文版的第一版。

INTRODUCTION TO EMBEDDED SYSTEMS A CYBER-PHYSICAL SYSTEMS APPROACH Second Edition

DeepSpeech：DeepSpeech是一种开源嵌入式（离线，设备上的）语音到文本引擎，可以在从Raspberry Pi 4到大功率GPU服务器的各种设备上实时运行

MedianFilter：一种快速的一维中值滤波算法

在Eclipse环境下下载CMSIS-Packs经常进度条停止进行不下去。所以这里准备了下载好的CMSIS-Packs包，直接解压放置于C:\Users\???\AppData\Roaming文件夹下即可。

Arm Compiler for Embedded Reference Guide 6.18

Chromium Embedded Framework (CEF)2062源码下载地址。

The most visible use of computers and software is processing information for human consumption. We use them to write books (like this one), search for information on the web, communicate via email, and keep track of financial data. The vast majority of computers in use, however, are much less visible. They run the engine, brakes, seatbelts, airbag, and audio system in your car. They digitally encode your voice and construct a radio signal to send it from your cell phone to a base station. They control your microwave oven, refrigerator, and dishwasher. They run printers ranging from desktop inkjet printers to large industrial high-volume printers. They command robots on a factory floor, power generation in a power plant, processes in a chemical plant, and traffic lights in a city. They search for microbes in biological samples, construct images of the inside of a human body, and measure vital signs. They process radio signals from space looking for supernovae and for extraterrestrial intelligence. They bring toys to life, enabling them to react to human touch and to sounds. They control aircraft and trains. These less visible computers are called embedded systems, and the software they run is called embedded software.

This supplement defines eUSB2 PHY layer requirement and signaling attributes. Protocol behavior which is not explicitly called out in this document shall remain the same as defined in USB Revision 2.0 specification.

With continuing progress in VLSI and ASIC technologies, digital signal processing (DSP) algorithms have continued to find great use in increasingly wide application areas. DSP has gained popularity also in embedded systems although these systems set challenging constraints for implementations. Embedded systems contain limited resources, thus embedded DSP systems must balance tradeoffs between the requirements on computational power and computational resources. Energy efficiency has been important in batterypowered devices, but nowadays also the limited heat dissipation in small devices calls for low-power consumption. Successful implementation of DSP applications in embedded systems requires tailoring, which in turn sets challenges for design methodologies.