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Adam Panagos
United States
Registrace 16. 08. 2006
I'm an engineer and part-time lecturer at the University of Alabama in Huntsville. This channel is a collection of teaching resources I've developed over the years that I make available for my students. The content is focused in the areas of signals and systems, digital communications, random processes, linear algebra, and Matlab.
All my videos and a large collection of additional content found at my website: adampanagos.org
All my videos and a large collection of additional content found at my website: adampanagos.org
Signal Operations: Combined Operations
adampanagos.org
The previous videos investigated the individual signal operations of time scaling, time reversal, and time shifting. This video provides examples of combining these operations to convert the signal x(t) into the signal x(at-b). While the signal x(at-b) can be obtained using any order of operations, care must be taken, as the specific values used when shifting and scaling will change based on the order of operations.
The next video in this playlist is:
The previous video in this playlist is:
Signal Operations: Time Shifting - czcams.com/video/ZVWNjzyvhVs/video.html
Join the channel for membership perks:
czcams.com/channels/vpWRQzhm8cE4XbzEHGth-Q.htmljoin
Course website:
www.adampanagos.org/ct-signals-and-systems
If you enjoyed my videos please "Like", "Subscribe", and visit adampanagos.org to setup your member account to get access to downloadable slides, Matlab code, an exam archive with solutions, and exclusive members-only videos. Thanks for watching!
The previous videos investigated the individual signal operations of time scaling, time reversal, and time shifting. This video provides examples of combining these operations to convert the signal x(t) into the signal x(at-b). While the signal x(at-b) can be obtained using any order of operations, care must be taken, as the specific values used when shifting and scaling will change based on the order of operations.
The next video in this playlist is:
The previous video in this playlist is:
Signal Operations: Time Shifting - czcams.com/video/ZVWNjzyvhVs/video.html
Join the channel for membership perks:
czcams.com/channels/vpWRQzhm8cE4XbzEHGth-Q.htmljoin
Course website:
www.adampanagos.org/ct-signals-and-systems
If you enjoyed my videos please "Like", "Subscribe", and visit adampanagos.org to setup your member account to get access to downloadable slides, Matlab code, an exam archive with solutions, and exclusive members-only videos. Thanks for watching!
zhlédnutí: 3 516
Video
Signal Operations: Time Shifting
zhlédnutí 918Před rokem
adampanagos.org This video reviews the definition of time shifting a signal and provides several worked examples. Consider the signal x(t). A time-shifted version of the signal is x(t-T) where the time variable t has been replaced by t-T. Depending on the value of "T", this will cause x(t) to be shifted to the left or right. For values of T greater than 0, this is a shift to the right. For valu...
Signal Operations: Time Reversal
zhlédnutí 358Před rokem
adampanagos.org This video reviews the definition of time reversing a signal and provides several worked examples. Consider the signal x(t). A time-reversed version of the signal is x(-t) where the time variable t has been replaced by -t. Time-reversing a signal "flips" the signal around the origin of the horizontal time axis. Several examples of time-reversal are provided. The next video in th...
Signal Operations: Time Scaling
zhlédnutí 599Před rokem
adampanagos.org This video reviews the definition of time scaling and provides several worked examples. Consider the signal x(t). A time-scaled version of the signal is x(at) where the time variable t has been replaced by at. Depending on the value of "a", this will cause x(t) to be compressed or expanded. For values of a greater than 1, time is expanded, for values a less than 1, time compress...
Signal Operations on Dependent Variables
zhlédnutí 694Před rokem
adampanagos.org This collection of videos looks at various signal operations. This first video starts with operations on dependent variables, i.e. operations on the amplitude of the signal. These operations include amplitude scaling, signal addition, signal multiplication, differentiation, and integration. Subsequent videos look at operations on independent variables, i.e. operations on the tim...
Signals and Systems Definitions
zhlédnutí 6KPřed 2 lety
adampanagos.org This video provides the basic definitions of signal and system that we'll use in the course. A signal is function of one or more variables that contains information. A system is an entity that manipulates signals to generate new signals. The next video in this playlist is: Continuous-Time vs. Discrete-Time Signals - czcams.com/video/iXxZbeuLNzI/video.html Course website: www.ada...
Continuous-Time Deterministic and Random Signals
zhlédnutí 901Před 2 lety
adampanagos.org This short video provides definitions and examples for deterministic and random signals. A deterministic continuous-time signal x(t) is has known values for all time t, and deterministic signals are the exclusive focus on most undergraduate courses on signals and systems. A random signal X(t), (also called a random process) is a random variable at each time t, and must be analyz...
Simply-Defined and Piecewise-Defined Signals
zhlédnutí 913Před 2 lety
adampanagos.org This short video provides definitions and examples for simply-defined and piecewise-defined signals. A simply-defined signal is a signal that has a single equation that is valid for all time. A piecewise-defined signal has different equation defined for different portions of time. The next video in this playlist is: Continuous-Time Deterministic and Random Signals - czcams.com/v...
Sums of Periodic Signals Example
zhlédnutí 1,6KPřed 2 lety
adampanagos.org This video examines the summation of periodic signals. We show that the summation of two periodic signals is not always periodic. Let T1 be the period of signal x1(t) and T2 be the summation of x2(t). We show that the signal y(t) = x1(t) x2(t) is only periodic if the ratio of T1/T2 can be written as a rational fraction. The next video in this playlist is: Simply-Defined and Piec...
Continuous-Time Periodic and Non-Periodic Signals
zhlédnutí 1,9KPřed 2 lety
adampanagos.org A continuous-time periodic signal x(t) satisfies the equality x(t T) = x(t) for all time t, for some value T greater than zero. The smallest value T that satisfies the equality is called the fundamental period. The fundamental period and fundamental frequency f are related by T = 1/f. Signals that don't have a fundamental period are non-periodic (or aperiodic) signals. The next ...
Even and Odd Signal Properties With Proofs
zhlédnutí 1,5KPřed 2 lety
adampanagos.org This video provides a variety of proofs with respect to summations ad products of even/odd signals. For example, we prove that the summation of two even signals is itself an even signal. Similar proofs are provided for various other combinations of even, odd, summations, and products. The next video in this playlist is: Continuous-Time Periodic and Non-Periodic Signals - czcams....
Continuous-Time Conjugate Symmetric Signals
zhlédnutí 999Před 2 lety
adampanagos.org The previous video examined even and odd real-valued signals. Complex-valued signals may have a different type of symmetry. A complex-valued conjugate symmetric signal satisfies x(-t) = conj(x(t)) for all time. The next video in this playlist is: Even and Odd Signal Properties With Proofs - czcams.com/video/8pw_ie7jG_8/video.html The previous video in this playlist is: Continuou...
Continuous-Time Even and Odd Signals
zhlédnutí 1,5KPřed 2 lety
adampanagos.org This video defines even and odd signals and provides several examples. An even signal satisfies x(t) = x(-t) for all time. An odd signal satisfies x(t) = -x(-t) for all time. The next video in this playlist is: The previous video in this playlist is: Analog and Digital Signals - czcams.com/video/1WCCq_054qA/video.html Join the channel for membership perks: czcams.com/channels/vp...
Analog and Digital Signal Definitions
zhlédnutí 1,7KPřed 2 lety
adampanagos.org This video defines and shows examples of both analog signals and digital signals. Analog signals have amplitudes that take on a continuum of values. Digital signals have amplitudes that only take on values from a finite list of possible values. The next video in this playlist is: Continuous-Time Even and Odd Signals - czcams.com/video/6wupji3TL0s/video.html The previous video in...
Continuous-Time vs. Discrete-Time Signals
zhlédnutí 2,8KPřed 2 lety
adampanagos.org This and the subsequent videos work through a list of signal properties that signals may (or may not) have. This first video discusses the difference between continuous-time and discrete time signals. Continuous-time signals are denoted as x(t) and are defined for all time t. Discrete-time signals are denoted as x[k] are are defined for discrete-time k. The next video in this pl...
Representing Vectors with an Orthogonal Basis
zhlédnutí 6KPřed 4 lety
Representing Vectors with an Orthogonal Basis
Block Decoding Minimum Distance Decoding Rule Derivation
zhlédnutí 1,1KPřed 4 lety
Block Decoding Minimum Distance Decoding Rule Derivation
Is change of coordinates and change of basis the same thing
Image at 3:07 looks nothing like the original. Am I missing something?
Thanks. This is brilliant.
Why are you starting from Ax = b and then going to Ab = x , how is that even possible.
you missed bro, its hoever
life saver
Nah if we're trying to bring math proofs into English sentences then im suing the guy who invented math proofs. They both go to college cant get more logical then that.
These explanations are a million times better than my professor. Thank you so much!
When we sketch the flipped graph, we replace the “tau” with “tau - t” right ?
Thank you so much 😊🙏
Thank you!!
how to do this, augmented matrix and row reduction thing?
I've proven it in another way, but I don't really know if I've done it right: --- Let's assume \( a \leq 1 \). This brings us three possibilities: 1) a = 1 2) a < 0 3) 0 <= a < 1 Let's analyze them. 1) a = 1 If this is true, the inequality a >= 1/a > b becomes 1 > 1 > b, which is a contradiction, as 1 is not greater than 1. 2) a < 0 If a < 0, then 1/a is also negative. However, there's a contradition in a > 1/a in this case, because as a is a negative number, its inverse will never be less that itself. 3) 0 <= a < 1 This assumption also leads to a contradiction, because if we multiply all sides of the inequality a >= 1/a > b by a, we have: a² > 1 > b (since a is positive, the inequality signs remain the same). This statement is contradictory because if a is between 0 and 1, the square of a is necessarily less than 1.
what if infinite solution?
Wow amazing content man keep it up
holyt sh!t, its that easy? why did I struggle so much my entire proof class semester
Thank you for this class. Please, when M=4, the one values are nine not eight. It should be 2M+1. The figure is telling that but I think you said eight ones.
How to of 4x2 matrix
Hi prof, but wasnt n defined as >=3? 2 does not satisfy, so I think P2 is not in P3 because for it to be defined as "of order 3 at most" as you mentioned Pn should be defined as n<=3 . Please clarify, I watched all your other videos with examples and was amazing i understood everything but this confused me .
I was taught a totally different method for the change of coordinates and it didn't make sense. Now it does. Thank you.
Your 2 looks like a z
can prove just by seeing det not equal to 0 ?
Isn't span the all linear combinations in a vec space. I though what you refered to as U is set of basis vectors.
uhhh ?? you inversed the i with j i for the row and j for the column
No, I didn't. The adjugate matrix is the transpose of the co-factor matrix. This matrix is being filled in correctly.
Even after 10years still the GOAT
Thanks for the kind words, I’m glad you enjoyed the video! Make sure to check out my website adampanagos.org for additional content (600+ videos) you might find helpful. Thanks much, Adam
tomorrow i have a signal modulation exam and although my english is not that good yet your explanation was super smooth ... Thank you so much!!!
Glad I could help, thanks for watching. Make sure to check out my website adampanagos.org for additional content (600+ videos) you might find helpful. Thanks, Adam
Thanks for this complete playlist... God Bless You
Thank you for your videos they are a lot of help. You would have 2 million subscribers if everyone needed engineering courses instead of make-up tutorials and reaction videos.
thank you!
thank you so much!
i am like it
Thank you so much - nobody explains these...
this video is truely a gem
You just earned s subscriber
For this semester, every time before exams I came here to watch Mr.Adam’s video, I always got great grades. Thanks for all your supper helpful videos.
Hi, @5:00 , how did you factor it? I searched all over youtube for quadratics with negative exponents but none of them match what i'm looking for. Do you have a video on it?
Watching 2024
You are a life saver for this
Thank you so much! This is so helpful
Thanks, Adam i have no idea what I am doing without your videos. Now I'm acing it.
I think there is an error at 4:44. It is written (x,y) ∈ A\(BXC), but I think it should be written (x,y) ∈AX(B\C).
Bes video for the vector span
where is the result thats the hard part???
This is the best video ever
super helpful
Outstanding! 🫡
Thanks...
hey i would really appreciate your response, I might be missing something but i really wanted to know how did we ignore the (-1)^k while computing the Z-Transform of the first part of the signal at around 4:20 , thanks and really appreciate the entire playlist!
We didnt' ignore it, it just got changed with the algebra we performed. I think you're talking about the (1/4)^k * (z)^(-k)? Note that we can write z^(-k) as (z^-1)^k which is (1/z)^k. So, we have that (1/4)^k * (1/z)^(k) and now both terms are raised to the same power, so we can write as (1/4z)^k. Just some algebra. Hope that helps.
Amazing work! So easy to understand when you explain it! Bravo!