高通QCA7500数据表(Datasheet)- 机密资料,请勿公开传播
需积分: 8 21 浏览量
更新于2024-03-21
收藏 1.5MB PDF 举报
The QCA7500 datasheet is a confidential and proprietary document from Qualcomm Atheros, Inc., detailing the specifications of the QCA7500 powerline communication chip. This chip is designed for high-speed data transfer over power lines, enabling efficient networking solutions for various applications.
Strict confidentiality measures are in place to protect the sensitive information contained in the datasheet. Public disclosure of this document is strictly prohibited, and any postings on public servers or websites should be reported to Qualcomm immediately. Distribution of the datasheet is restricted to employees of Qualcomm and its subsidiaries, and express approval from Qualcomm's Configuration Management is required for any further dissemination.
The QCA7500 chip offers advanced features and performance capabilities for powerline communications, including reliable connectivity, high data transfer speeds, and secure encryption protocols. It is a versatile solution for smart home devices, industrial automation, and other networking applications that require a robust and efficient communication infrastructure.
In conclusion, the QCA7500 datasheet provides valuable information about the features and specifications of the Qualcomm Atheros powerline communication chip. Strict confidentiality measures are in place to protect this proprietary document, ensuring that the advanced capabilities of the QCA7500 chip remain secure and inaccessible to unauthorized individuals.
144 浏览量
2024-01-11 上传
2022-09-21 上传
2023-03-26 上传
2018-03-18 上传
2018-04-17 上传
2019-03-30 上传
yxxzd
- 粉丝: 0
- 资源: 3
最新资源
- MATLAB实现小波阈值去噪:Visushrink硬软算法对比
- 易语言实现画板图像缩放功能教程
- 大模型推荐系统: 优化算法与模型压缩技术
- Stancy: 静态文件驱动的简单RESTful API与前端框架集成
- 掌握Java全文搜索:深入Apache Lucene开源系统
- 19计应19田超的Python7-1试题整理
- 易语言实现多线程网络时间同步源码解析
- 人工智能大模型学习与实践指南
- 掌握Markdown:从基础到高级技巧解析
- JS-PizzaStore: JS应用程序模拟披萨递送服务
- CAMV开源XML编辑器:编辑、验证、设计及架构工具集
- 医学免疫学情景化自动生成考题系统
- 易语言实现多语言界面编程教程
- MATLAB实现16种回归算法在数据挖掘中的应用
- ***内容构建指南:深入HTML与LaTeX
- Python实现维基百科“历史上的今天”数据抓取教程