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MSP430-DS18B20 Downloaded：0: Using the msp430 control DS18B20---------- is a good example of applying 430
Update : 2025-03-05 Size : 2kb Publisher : 曹明文
msp449-12864 Downloaded：0: 12864 using MSP430 control of the original dot-matrix liquid crystal process--------- Oh!
Update : 2025-03-05 Size : 3kb Publisher : 曹明文
TLC2543 Downloaded：0: I uploaded an original procedure TLC2543 and TLC2543 the pdf with the text block, good things Oh!
Update : 2025-03-05 Size : 1.55mb Publisher : 曹明文
msp_1621 Downloaded：0: This is a 1621 drive with 430 yards above the original liquid crystal process,嘿嘿! There are 1621 data Oh!
Update : 2025-03-05 Size : 404kb Publisher : 曹明文
430f149 Downloaded：0: This a MSP430 header file for detailed explanation on the use of U.S. 430 has a lot of useful
Update : 2025-03-05 Size : 10kb Publisher : 曹明文
msp149 Downloaded：0: This is what I used to do the MSP430 to do from time to time data acquisition, I have to do to help in this regard!
Update : 2025-03-05 Size : 3kb Publisher : 曹明文
TestGeoDatabase Downloaded：0: Arcgis geodatabase Access database creation
Update : 2025-03-05 Size : 12.59mb Publisher : aaaaa
index Downloaded：0: This is a XILINX
Update : 2025-03-05 Size : 18kb Publisher : 马占
dongRunQianRuShiPeixun Downloaded：0: Neusoft embedded programming training, quality is very good, well-known companies of the material, on the programming very helpful
Update : 2025-03-05 Size : 2.08mb Publisher : 松仁
svm-python Downloaded：0: This document contains a general overview in the first few sections as well as a more detailed reference in later sections for SVMpython. If you re already familiar with SVMpython, it s possible to get a pretty good idea
Update : 2025-03-05 Size : 287kb Publisher : 王强
SVMmulticlass Downloaded：0: SVMmulticlass: Multi-class classification. Learns to predict one of k mutually exclusive classes. This is probably the simplest possible instance of SVMstruct and serves as a tutorial example of how to use the programmin
Update : 2025-03-05 Size : 84kb Publisher : 王强
svm_cfg Downloaded：1: SVMcfg: Learns a weighted context free grammar from examples. Training examples (e.g. for natural language parsing) specify the sentence along with the correct parse tree. The goal is to predict the parse tree of new sen
Update : 2025-03-05 Size : 320kb Publisher : 王强

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