Displays raw data of figure plots in separate spreadsheet tables
標(biāo)簽： spreadsheet Displays separate figure
上傳時(shí)間： 2014-11-27
上傳用戶：ruixue198909
capture frames in mobile 6.0 you can edit raw data with callback function
標(biāo)簽： callback function capture frames
上傳時(shí)間： 2013-11-26
上傳用戶：pkkkkp
Slave mode FX2LP Firmware for raw-Data transfer from an external master (altera FPGA)
標(biāo)簽： Firmware external raw-Data transfer
上傳時(shí)間： 2014-09-08
上傳用戶：gut1234567
The function applies the Madsen method for Doppler Centroid estimation. The input are: 1) the raw data, the parameter of the distance between samples in azimuth to be correlated and the PRF (Pulse repetition frequency)
標(biāo)簽： estimation The the Centroid
上傳時(shí)間： 2017-08-12
上傳用戶：pinksun9
Symbolic Representations of Time Series... SAX is just as good as other representations, or working on the raw data for most problems (Slides shown at the end of this presentation)
標(biāo)簽： Representations representations Symbolic working
上傳時(shí)間： 2014-01-16
上傳用戶：dongqiangqiang
Although state of the art in many typical machine learning tasks, deep learning algorithmsareverycostly interms ofenergyconsumption,duetotheirlargeamount of required computations and huge model sizes. Because of this, deep learning applications on battery-constrained wearables have only been possible through wireless connections with a resourceful cloud. This setup has several drawbacks. First, there are privacy concerns. Cloud computing requires users to share their raw data—images, video, locations, speech—with a remote system. Most users are not willing to do this. Second, the cloud-setup requires users to be connected all the time, which is unfeasible given current cellular coverage. Furthermore, real-time applications require low latency connections, which cannot be guaranteed using the current communication infrastructure. Finally, wireless connections are very inefficient—requiringtoo much energyper transferredbit for real-time data transfer on energy-constrained platforms.
標(biāo)簽： Embedded_Deep_Learning Algorithms
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
Get payload data from a raw Tcp/ip packet
標(biāo)簽： payload packet data from
上傳時(shí)間： 2013-12-29
上傳用戶：hjshhyy
The GSMSP uses the USRP hardware device to receive data from the GSM band. This data is raw and pretty useless unless filtered correctly.
標(biāo)簽： data the hardware receive
上傳時(shí)間： 2014-01-14
上傳用戶：asddsd
Project to Read Hard Disk data (raw format) at Windows Run Time
標(biāo)簽： Project Windows format Hard
上傳時(shí)間： 2017-09-03
上傳用戶：lanwei
The Ntrip RTCM Multiclient "NtripRTCMMC" simultaneously reads a number of real-time RTK data streams in RTCM 2.x format (basicly message types 18 and 19) as received from an Ntrip Broadcaster. It decodes the streams and generates raw and RINEX files.
標(biāo)簽： simultaneously Multiclient NtripRTCMMC real-time
上傳時(shí)間： 2015-11-15
上傳用戶：一諾88
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