当前位置:网站首页>Cs5261type-c to HDMI alternative ag9310 | ag9310 alternative
Cs5261type-c to HDMI alternative ag9310 | ag9310 alternative
2022-07-08 01:10:00 【qq1659747718】
CS5261 yes Capstone The latest one can replace AG9310 Solution chip of . The function and performance of the two are very similar
CS5261 And AG9310 Suitable for multiple market segments and display applications , Such as expansion base 、 Docking station, etc . It's easy to do Type-C turn HDMI Data converter transfer !
CS5261 And AG9310 Functional characteristics and parameters of
Capstone CS5261 It's a high performance Type-C/DP1.4 To HDMI2.0b converter , Designed for connection USB Type-C End or DP1.4 Source to HDMI2.0b transformation .CS5261 Integrated DP1.4 Compatible receiver , One HDMI2.0b Compatible transmitter .
DP Interface includes 2 Main channel 、 Auxiliary channels and HPD The signal . The receiver supports a maximum of 5.4Gbps(HBR2) Data rate .DP The receiver contains HDCP1.4 Content protection scheme with embedded key , For the secure transmission of digital audio and video content .
HDMI Interface includes 4 individual TMD The clock / Data on 、DDC and HPD The signal .HDMI The transmitter can support up to 3Gpbs The data rate of , Enough to handle up to FHD 1080p 120Hz and UHD 4k 30Hz Format video resolution .
ALGOLTEK AG9310 It's a realization USB Type-C turn HDMI Data converter .
Support USB Type-C Show port override mode ,AG9310 You can stream video and audio from USB Type-C Interface to HDMI port .
stay AG9310 in , Support 1 road 、2 road @1.62Gbps、2.7Gbps and 5.4Gbps Different configuration of frequency input ,HDMI Support [email protected] Output .
CS5261 And AG9310 The circuit principle diagram :
The circuit diagrams of the two can be seen in comparison
CS5261 High integration , Less peripheral parts , Low design cost . And CS5261 And AG9310 Its functions and parameters are basically the same .
therefore CS5261 replace AG9310 Higher cost performance , Worthy of reference !
边栏推荐
- Scheme selection and scheme design of multifunctional docking station for type C to VGA HDMI audio and video launched by ange in Taiwan | scheme selection and scheme explanation of usb-c to VGA HDMI c
- Ag9310 for type-C docking station scheme circuit design method | ag9310 for type-C audio and video converter scheme circuit design reference
- Fundamentals - integrating third-party technology
- Cross modal semantic association alignment retrieval - image text matching
- 10. CNN applied to handwritten digit recognition
- 8道经典C语言指针笔试题解析
- 图像数据预处理
- Chapter VIII integrated learning
- 13.模型的保存和载入
- Semantic segmentation model base segmentation_ models_ Detailed introduction to pytorch
猜你喜欢
Know how to get the traffic password
10. CNN applied to handwritten digit recognition
Malware detection method based on convolutional neural network
130. Zones environnantes
Design method and application of ag9311maq and ag9311mcq in USB type-C docking station or converter
Introduction to ML regression analysis of AI zhetianchuan
基于微信小程序开发的我最在行的小游戏
Cve-2022-28346: Django SQL injection vulnerability
14. Draw network model structure
Y59. Chapter III kubernetes from entry to proficiency - continuous integration and deployment (III, II)
随机推荐
基于人脸识别实现课堂抬头率检测
Codeforces Round #804 (Div. 2)(A~D)
Codeforces Round #804 (Div. 2)
Reentrantlock fair lock source code Chapter 0
NVIDIA Jetson test installation yolox process record
Semantic segmentation model base segmentation_ models_ Detailed introduction to pytorch
6.Dropout应用
Chapter 16 intensive learning
[note] common combined filter circuit
[Yugong series] go teaching course 006 in July 2022 - automatic derivation of types and input and output
Swift get URL parameters
[necessary for R & D personnel] how to make your own dataset and display it.
From starfish OS' continued deflationary consumption of SFO, the value of SFO in the long run
SDNU_ACM_ICPC_2022_Summer_Practice(1~2)
11. Recurrent neural network RNN
11.递归神经网络RNN
3. MNIST dataset classification
基于微信小程序开发的我最在行的小游戏
Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades(KDD20)
[Yugong series] go teaching course 006 in July 2022 - automatic derivation of types and input and output