UConn HKNAdam with UConn HKN presents a tutorial and explanation of how to solve systems of equations using a calculator. This is extremely useful when solving for multiple currents in a circuit (See youtube.com/watch?v=Inb9gOG2Avo). This method can be applied to any non-imaginary system of equations on TI-83, TI-84, and TI-84+
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Circuits 1 - Systems of Equations with CalculatorUConn HKN2016-11-07 | Adam with UConn HKN presents a tutorial and explanation of how to solve systems of equations using a calculator. This is extremely useful when solving for multiple currents in a circuit (See youtube.com/watch?v=Inb9gOG2Avo). This method can be applied to any non-imaginary system of equations on TI-83, TI-84, and TI-84+
Still don't get it? Have questions relating to this topic or others? Suggestions for other problems you'd like to see us do? Post in the comments below or email us at "questions.hkn.uconn@gmail.com"Discrete Convolution Example AnimationUConn HKN2021-01-26 | A short animation made by Kevin Grassie to demonstrate the properties and process of discrete convolution.Circuits 1: Mesh Current Analysis ExampleUConn HKN2019-03-20 | Siddarth Suresh of UConn HKN uses mesh current analysis to determine the values of current loop in the given circuit.
Still don't get it? Have questions relating to this topic or others? Suggestions for other problems you'd like to see us do? Post in the comments below or email us at hknuconn@gmail.comInformation Extraction/ Estimation - Lecture 01 - Dr. Yaakov Bar-Shalom - University of ConnecticutUConn HKN2018-08-18 | Recordings of a Lecture Series for ENGR 352 Information Modeling and Extraction at the University of Connecticut from 2004. The presenter is Board of Trustees Distinguished Professor & Marianne E. Klewin Endowed Professor in Engineering Yaakov Bar-Shalom.
The accompanying text for the course may be purchased on Amazon at the following link: amazon.com/gp/product/047141655X/ref=dbs_a_def_rwt_bibl_vppi_i0Information Extraction/ Estimation - Lecture 02 - Dr. Yaakov Bar-Shalom - University of ConnecticutUConn HKN2018-08-18 | Recordings of a Lecture Series for ENGR 352 Information Modeling and Extraction at the University of Connecticut from 2004. The presenter is Board of Trustees Distinguished Professor & Marianne E. Klewin Endowed Professor in Engineering Yaakov Bar-Shalom.
The accompanying text for the course may be purchased on Amazon at the following link: amazon.com/gp/product/047141655X/ref=dbs_a_def_rwt_bibl_vppi_i0Semiconductor Physics - Band Diagrams (Pt. 1)UConn HKN2018-01-26 | Barath goes over how to draw band diagrams.Digital Communications: Optimal Receiver - Decision TheoryUConn HKN2017-12-08 | Graduate Student Andrew Finelli of UConn HKN concludes a video series about the Optimal Coherent Receiver for AWGN channels in Digital Communications. The content of these videos coem from notes which you can download here: drive.google.com/open?id=1CI_vcnEtMT7xTNyph7_2m_ON3ON9bDVM
Still don't get it? Have questions relating to this topic or others? Suggestions for other problems you'd like to see us do? Post in the comments below or email us at "questions.hkn.uconn@gmail.comDigital Communications: Optimal Receiver - Signal Space FormulationUConn HKN2017-12-08 | Graduate Student Andrew Finelli of UConn HKN continues a video series about the Optimal Coherent Receiver for AWGN channels in Digital Communications. The content of these videos coem from notes which you can download here: drive.google.com/open?id=1CI_vcnEtMT7xTNyph7_2m_ON3ON9bDVM
Still don't get it? Have questions relating to this topic or others? Suggestions for other problems you'd like to see us do? Post in the comments below or email us at "questions.hkn.uconn@gmail.comDigital Communications: Optimal Receiver - OrthogonalizationUConn HKN2017-12-06 | Graduate Student Andrew Finelli of UConn HKN continues a video series about the Optimal Coherent Receiver for AWGN channels in Digital Communications. The content of these videos coem from notes which you can download here: drive.google.com/open?id=1CI_vcnEtMT7xTNyph7_2m_ON3ON9bDVM
Still don't get it? Have questions relating to this topic or others? Suggestions for other problems you'd like to see us do? Post in the comments below or email us at "questions.hkn.uconn@gmail.comDigital Communications: Optimal Receiver - Discrete SignalsUConn HKN2017-12-05 | Graduate Student Andrew Finelli of UConn HKN continues a video series about the Optimal Coherent Receiver for AWGN channels in Digital Communications. The content of these videos coem from notes which you can download here: drive.google.com/open?id=1CI_vcnEtMT7xTNyph7_2m_ON3ON9bDVM
Still don't get it? Have questions relating to this topic or others? Suggestions for other problems you'd like to see us do? Post in the comments below or email us at "questions.hkn.uconn@gmail.comDigital Communications: Optimal Receiver IntroUConn HKN2017-12-05 | Graduate Student Andrew Finelli of UConn HKN begins a video series about the Optimal Coherent Receiver for AWGN channels in Digital Communications. The content of these videos coem from notes which you can download here: drive.google.com/open?id=1CI_vcnEtMT7xTNyph7_2m_ON3ON9bDVM
Still don't get it? Have questions relating to this topic or others? Suggestions for other problems you'd like to see us do? Post in the comments below or email us at "questions.hkn.uconn@gmail.comDigital Communications: Viterbi AlgorithmUConn HKN2017-12-03 | Graduate Student Zac Sutton of Uconn HKN explains how to encode a data stream using a convolutional encoder and how to decode the received sequence using the Viterbi Algorithm.
Still don't get it? Have questions relating to this topic or others? Suggestions for other problems you'd like to see us do? Post in the comments below or email us at "questions.hkn.uconn@gmail.comDigital Communications: Convolutional CodesUConn HKN2017-12-02 | Graduate Student Zac Sutton of Uconn HKN explains how to encode a data stream using a convolutional encoder and how to decode the received sequence using the Viterbi Algorithm.
Still don't get it? Have questions relating to this topic or others? Suggestions for other problems you'd like to see us do? Post in the comments below or email us at "questions.hkn.uconn@gmail.comSemiconductor Physics - IntroductionUConn HKN2017-11-15 | Barath, graduate student under Faquir Jain and member of UConn HKN, introduces semiconductor physics.Circuits II - Emitter Stabilized Circuit - ExampleUConn HKN2017-11-11 | Andrew works on a BJT based circuits problem, one that asks you to find current and voltage values in an emitter stabilized circuit.Circuits I - Norton Equivalent Circuit - ExampleUConn HKN2017-11-09 | Alex "The Boy" tells us how to use Norton's Theorem to convert a regular circuit into its Norton Equivalent.Circuits I - Passive Sign Convention - ExampleUConn HKN2017-11-06 | Ethan talks a little about how Passive Sign Convention works, and how it can be used in an example problem.Circuits 1 - RL Circuit - ExampleUConn HKN2017-11-03 | Wyatt goes over an RL Circuit problem, using the shortcut method pioneering by Dr. John Ayers.Digital Communications: Random Processes ExamplesUConn HKN2017-09-03 | Andrew Finelli with UConn HKN goes over some sample problems involving Random Processes and their applications to Digital Communications Systems.Digital Communications: Random Processes Intro Part 2UConn HKN2017-09-03 | Andrew Finelli with Uconn HKN explains the basics of Random Processes and how they are used in communication systems.Digital Communications: Random Processes Intro Part 1UConn HKN2017-09-03 | Andrew Finelli with Uconn HKN explains the basics of Random Processes and how they are used in communication systems.Digital Communications - Kalman Filter - Part 2UConn HKN2017-04-30 | HKN legend Andrew Finelli continues his lesson on Kalman Filtering with one of the simplest examples he could find.Digital Communications - Kalman Filter - Part 1UConn HKN2017-04-30 | HKN legend Andrew Finelli introduces Kalman Filtering, an algorithm that produces estimates for unknown variables using data from measurements taken over a period of time.Circuits 1 - Source Transformations - IntroUConn HKN2017-04-30 | Matt with HKN introduces source transformations and some uses for them.Robotics - Inverse Kinematics - ExampleUConn HKN2017-04-05 | Connor with UConn HKN explains how to analyze a 3-link robotic manipulator using inverse kinematics.Circuits 1 - Current Dividers - IntroUConn HKN2017-03-29 | Adam with UConn HKN introduces the Current Divider Formula. He also uses the Current Divider Formula to solve for the current through a resistor. This principle can be applied in many scenarios and is a useful tool when solving more difficult circuits.Digital Communications - Filter Relationships - Part 3UConn HKN2017-03-28 | I created this video with the YouTube Video Editor (http://www.youtube.com/editor)Digital Communications - DJP Algorithm - IntroUConn HKN2017-03-27 | I created this video with the YouTube Video Editor (http://www.youtube.com/editor)Digital Communications - Dijkstra Algorithm - IntroUConn HKN2017-03-27 | I created this video with the YouTube Video Editor (http://www.youtube.com/editor)Digital Communications - Ethernet Protocol - IntroUConn HKN2017-03-27 | I created this video with the YouTube Video Editor (http://www.youtube.com/editor)Digital Communications - Aloha Protocol - IntroUConn HKN2017-03-22 | Andrew introduces Aloha Protocol, one of the multiple access channel protocols used in Digital Communications.Signals and Systems- Inverse Fourier Transform - IntroductionUConn HKN2017-03-22 | Zach introduces Inverse Fourier Transform, the reverse of the Fourier Transform.Digital Communications - Ethernet Protocol - ExampleUConn HKN2017-03-21 | Andrew continues his explanation of Ethernet Protocol with a short example problem.Circuits 1 - Three-Phase Power - IntroUConn HKN2017-03-21 | Dan introduces the concept of Three-Phase Power with an example circuit containing three AC voltage sources.Circuits 2 - Common Emitter Amplifier - Intro ExampleUConn HKN2017-03-20 | Adam does a small intro and example problem for a Common Emitter Amplifier. He might have spelled "Common" wrong, but we still love him.Digital Communications - Kruskels Algorithm - IntroUConn HKN2017-03-20 | Andrew with HKN talks about Kruskel's Algorithm which is... well... Let's let him explain.Probability - Conditional Probability and Bayes TheoremUConn HKN2017-03-20 | Zac with UConn HKN presents a video explaining conditional probablity and the application of Bayes' theorem and Bayes' rules
Still don't get it? Have questions relating to this topic or others? Suggestions for other problems you'd like to see us do? Post in the comments below or email us at "questions.hkn.uconn@gmail.com"Analog Communications - Stochastic Processes - IntroUConn HKN2017-03-15 | Zach introduces stochastic processes, an important concept in analog communications.Analog Communications - DSB-SC Modulation - IntroUConn HKN2017-03-15 | Zach talks about Double-Sideband Suppressed-Carrier Modulation.Digital Communications - DSB-SC Communication - Part 2UConn HKN2017-03-01 | Andrew Finelli presents the Second of a three part series on digital communication and its implementation in MatLab. This second video explains how DSBSC works in demodulation and modulation .
Still don't get it? Have questions relating to this topic or others? Suggestions for other problems you'd like to see us do? Post in the comments below or email us at "questions.hkn.uconn@gmail.com"Digital Communications - Modulation - Intro - Part 1UConn HKN2017-03-01 | Zac from HKN gives us a little intro on Modulation, going over how Fourier Transform applies to signal modulation giving graphical examples and explaining in detail how to modulate any signal in the frequency domain.
Still don't get it? Have questions relating to this topic or others? Suggestions for other problems you'd like to see us do? Post in the comments below or email us at "questions.hkn.uconn@gmail.com"Digital Communications - Modulation - Intro - Part 2UConn HKN2017-03-01 | ...Circuits 1 - Unbalanced Three Phase Power System - ExampleUConn HKN2017-01-25 | Dan with UConn HKN presents an example problem of an unbalanced three-phase system solving for the phasor voltage at node N and then finding the phasor currents from there.Digital Communications - Signal Space Efficiency - Example - Part 2UConn HKN2017-01-25 | Andrew with UConn HKN presents part 2 of a tutorial on M-ary Signal Space Efficiency.
Here Andrew shows which of two signal space constellations are more power efficient.Digital Communications - Signal Space Efficiency - Example - Part 1UConn HKN2017-01-25 | Andrew with UConn HKN presents a tutorial on M-ary Signal Space Efficiency. Andrew will present the problem and show which of two signal space constellations are more power efficient.UConn HKN Live StreamUConn HKN2016-12-13 | ...Circuits 1 - Norton Equivalent Circuit ExampleUConn HKN2016-11-18 | Dan with UConn HKN presents a video example to solve and simplify for the norton equivalent circuit.Circuits 1 - Voltage Dividers - IntroUConn HKN2016-11-18 | Adam with UConn HKN derives and introduces the Voltage Divider Formula. He also uses the Voltage Divider Formula to solve for the voltage across a resistor. This principle can be applied in many scenarios and is an important tool when solving more difficult circuits.Circuits 1 - AC Maximum Power Transfer - ExampleUConn HKN2016-11-14 | Dan with UConn HKN presents an example problem solving for the maximum power transferred in an AC sourced circuit.
Still don't get it? Have questions relating to this topic or others? Suggestions for other problems you'd like to see us do? Post in the comments below or email us at "questions.hkn.uconn@gmail.com"Digital Communications - Introduction to Guassian Random VariablesUConn HKN2016-11-04 | Andrew Finelli presents a lecture tutorial on Gaussian Random Variables
Still don't get it? Have questions relating to this topic or others? Suggestions for other problems you'd like to see us do? Post in the comments below or email us at "questions.hkn.uconn@gmail.com"