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Osobe Vidi sve
@DSP_fact Digital signal processing, acoustics, Fourier analysis, etc.
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SPECIAL ISSUE: ACOUSTIC LOCALIZATION Learn about spiral wave front
#sonar, a non-imaging, active sonar technique for remote target#localization. https://doi.org/10.1121/1.5138132 …#acoustics#signalprocessing@USNRL@CoEUMassD pic.twitter.com/WpZ2U19QS3
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Controlling a wheelchair with hand gestures
#SignalProcessing#AI#automation#tech#innovation#science#future#video http://datahacker.rs pic.twitter.com/pmsIR7CKlh -
#SignalProcessing Submissions Deadline Alert coming soon: February 20th The 5th International Conference on Signal and Image Processing 2020 https://webofmeetings.com/2019/engineering/signalimage-and-speech-processing/5th-international-conference-on-signal-and-image-processing-2020 …#FixedNetworks#MultimediaSignalProcessing#Communications#Networking#InformationTechnology -
A trembling stirs the sessile oak trees. Æcläg-tau, god of signal processing, sighs tenderly.
#Æclägtau#signalProcessing -
via
#OSA_OpEx: Simple method for optimizing the DC bias of Kramers-Kronig receivers based on AC-coupled photodetectors http://ow.ly/UJ5E50y9CIY#CoherentReceiver#SignalProcessing pic.twitter.com/gHcUeaRwqe
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Noise Removal from Remote Sensed Images by NonLocal Means with OpenCL Algorithm
#OpenCL#SignalProcessing#Sensing#Denoisinghttps://hgpu.org/?p=19583 -
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#SignalProcessing Using#NeuralNetworks: Validation in Neural Network Design https://buff.ly/36ABBHx by@allaboutcircuitpic.twitter.com/KVSzD3lTkD
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The FFT is an algorithm to make DFT’s faster and more efficient. The main idea behind the FFT is to decompose the DFT to smaller DFT’s. Read more: https://buff.ly/2RIF8zs
#SignalProcessing#Engineering#Electrical#BeyondWhyy -
Classification of Large-Scale High-Resolution SAR Images with Deep Transfer Learning -https://ecs.page.link/jd8TW
#SignalProcessing#SAR#ClinicalResearch#MedicalResearch#Manuscript#MedicalWritingServices#Pubrica -
Nerding out on signal phase and vector math rn. Check it. Take a coherent signal, then add noise (random magnitude & phase) to each observation. Vector average the observations, then subtract that avg vector from each observation to separate signal from noise.
#SignalProcessing pic.twitter.com/017zbw5R2l
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Presenting
#research#innovation http://cis.eecs.qmul.ac.uk/research.html#computervision#signalprocessing#imageprocessing#patternrecognition#NLP#tactilesensing#audiosensing#privacy#machinelearning#deeplearning#talks#intelSensing#PhDstudents … https://ift.tt/36ymiiz pic.twitter.com/hrYhL8jqui
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