Search for tag: "magnitude"

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EEC 100 Lab 07 - Fourier Series duration 15 minutes 21 seconds EEC 100 Lab 07 - Fourier Series EEC 100 Lab 07 - Fourier Series	EEC 100 Lab 07 - Fourier Series output circuit lab simulation pre phase signal volts milliseconds magnitude frequency input guys maximum wires analysis function wave series minimum From Femi-Jide Akinmoladun 0 likes 111 plays 0
EEC 100 Lab 06 - Active Bandpass Filter duration 8 minutes 18 seconds EEC 100 Lab 06 - Active Bandpass Filter EEC 100 Lab 06 - Active Bandpass Filter	EEC 100 Lab 06 - Active Bandpass Filter input pass circuit decibels cutoff output values filter wires hertz breadboard things frequencies band lab guys millivolts magnitude volts jumpers From Femi-Jide Akinmoladun 0 likes 124 plays 0
EEC 100 Lab 05 - Passive Filters duration 10 minutes 25 seconds EEC 100 Lab 05 - Passive Filters EEC 100 Lab 05 - Passive Filters	EEC 100 Lab 05 - Passive Filters phase magnitude circuit lab frequency plot values circuits simulation kind channel difference output omega cutoff filters input signal shift thing From Femi-Jide Akinmoladun 0 likes 95 plays 0
EEC 100 Lab 04 - Equivalent Impedance duration 14 minutes 52 seconds EEC 100 Lab 04 - Equivalent Impedance EEC 100 Lab 04 - Equivalent Impedance	EEC 100 Lab 04 - Equivalent Impedance impedance voltage resistor simulation circuit lab channel hertz source frequencies magnitude form input minus phase cursor signal side values times From Femi-Jide Akinmoladun 0 likes 112 plays 0
EPS 131 Lecture 14 (First Part) duration 50 minutes 31 seconds EPS 131 Lecture 14 (First Part) EPS 131 Lecture 14 (First Part)	EPS 131 Lecture 14 (First Part) EPS 131 Lecture 14 (First Part) earthquake earthquakes prediction things idea magnitude meeting california model forecast forecasts stress probability precursors wave kind problem forecasting fault predictions From John Rundle 0 likes 5 plays 0
EPS 131 Lecture 13 duration 44 minutes 50 seconds EPS 131 Lecture 13 EPS 131 Lecture 13	EPS 131 Lecture 13 EPS 131 Lecture 13 tsunami japan waves ocean earthquake tsunamis meters water iaea region wave power energy minutes sea fukushima simulation miles height magnitude From John Rundle 0 likes 7 plays 0
EPS 131 Lecture 11 (First Part) duration 52 minutes 48 seconds EPS 131 Lecture 11 (First Part) EPS 131 Lecture 11 (First Part)	EPS 131 Lecture 11 (First Part) EPS 131 Lecture 11 (First Part) earthquake tsunami japan region earthquakes magnitude power tokyo coast water meters damage plant 11th plate plants wave disaster fukushima access From John Rundle 0 likes 6 plays 0
EPS 131 Lecture 10 duration 46 minutes 22 seconds EPS 131 Lecture 10 EPS 131 Lecture 10	EPS 131 Lecture 10 EPS 131 Lecture 10 earthquake earthquakes region magnitude 12th china damage country kilometers response government port morning prince construction haiti disaster prediction emergency probability From John Rundle 0 likes 12 plays 0
EPS 131 Lecture 9 duration 43 minutes 22 seconds EPS 131 Lecture 9 EPS 131 Lecture 9	EPS 131 Lecture 9 EPS 131 Lecture 9 earthquake earthquakes tsunami magnitude fault event tsunamis fact hm mm damage waves sumatra valley aftershocks meters california region series town From John Rundle 0 likes 8 plays 0
EPS 131 Lecture 8 duration 55 minutes 13 seconds EPS 131 Lecture 8 EPS 131 Lecture 8	EPS 131 Lecture 8 EPS 131 Lecture 8 earthquake earthquakes tsunami magnitude damage crust plate san tsunamis francisco alaska scientists fire buildings ground region coast subduction slip areas From John Rundle 0 likes 21 plays 0
EPS 131 Lecture 4-6 (Second part) and Lecture 7 duration 50 minutes 25 seconds EPS 131 Lecture 4-6 (Second part) and Lecture 7 EPS 131 Lecture 4-6 (Second part) and Lecture 7	EPS 131 Lecture 4-6 (Second part) and Lecture 7 EPS 131 Lecture 4-6 (Second part) and Lecture 7 earthquake magnitude earthquakes waves scale fault intensity ground california size source aftershocks japan pattern things damage slip epicenter seismometers times From John Rundle 0 likes 13 plays 0
EPS 131 Lectures (4-6, First Part) duration 44 minutes 0 seconds EPS 131 Lectures (4-6, First Part) EPS 131 Lectures (4-6, First Part)	EPS 131 Lectures (4-6, First Part) EPS 131 Lectures (4-6, First Part) earthquake earthquakes magnitude fault waves ground energy earth wave slip plates plate model faults times region strength richter caltech lot From John Rundle 0 likes 10 plays 0
EPS Lectures 2 (Second Part) , 3 duration 47 minutes 29 seconds EPS Lectures 2 (Second Part) , 3 EPS Lectures 2 (Second Part) , 3	EPS Lectures 2 (Second Part) , 3 EPS Lectures 2 (Second Part) , Lecture 3 plates fault earthquakes plate earthquake faults crust rock san side north california areas ocean magnitude planet volcano tectonics zone thrust From John Rundle 0 likes 3 plays 0
GlyphSea — An Application to Visualize… duration 4 minutes 35 seconds GlyphSea — An Application to Visualize… GlyphSea — An Application to Visualize Vector Data	GlyphSea — An Application to Visualize Vector Data http://www.sdsc.edu/us/visservices/software/glyphsea/ How does one display a vector field? Vector visualization is an important area to investigate scientific data in many domains. Prior… lattice orientation color magnitude simulation earthquake vector shape visualization vissci8 From John Terning 0 likes 3 plays 0
Zhi Ding: Deep Learning: Not a Simple Hammer for… duration 1 hour 0 minutes Zhi Ding: Deep Learning: Not a Simple Hammer for… Zhi Ding: Deep Learning: Not a Simple Hammer for Massive MIMO Wireless Communication Systems	Zhi Ding: Deep Learning: Not a Simple Hammer for Massive MIMO Wireless Communication Systems See https://sites.google.com/view/maddd/ for the details. fall 2020 maddd channel correlation feedback station base magnitude downlink csi learning channels coefficient reciprocity equipment fact compression uplink lot communication network mimo From Naoki Saito 0 likes 50 plays 0
VEN123L Video 6.2 - Evaluating Linearity -… duration 6 minutes 32 seconds VEN123L Video 6.2 - Evaluating Linearity -… VEN123L Video 6.2 - Evaluating Linearity - Residual Plots	VEN123L Video 6.2 - Evaluating Linearity - Residual Plots Might R-squared values be a bit misleading? How should we evaluate the linearity of calibration curves? How do we create residual plots and use them to check for linearity? Copyright Thi Nguyen Do… residuals response curve calibration concentration concentrations instrument equation linear pattern plot curvature axis linearity range magnitude function trend axes bit From Thi Nguyen 0 likes 123 plays 0