You may not realize it, but you’re making awesome videos whether it be coding theory or tensor calc. Theres almost no channels like this with the same high quality as your videos. Keep up the great work

I just wanted to let you know that this content is incredibly straight forward, clearly explained and made me understand the material way better than what I got from sitting in the lecture hall or trying to understand it myself with the book. Thank you so much for not just making these incredible videos, but making them in a way that is not only easily digestible but entertaining to watch.

I just want to thank you for your hard work making this wonderful video. This video delivers clear, coherent lectures about the basic concepts of coding theory so that every watcher can grasp the concepts very easily.

Best ECC courses you can find on the internet! Thank you!

Linear Codes use special matrix called Generator Matrix to project binary message into higher dimensional space. This allows us to correct errors. Valid and invalid words - 0:50 Moving to higher dimension - 4:15 Generator Matrix - 6:00

Cant find such explanation anywhere, this is just unbeleivable.

Wonderful video. you deserve many cups of coffee.

Ajmo FEROVCI!

Great job! Very good explained, you are awesome

If I pass my exam I will donate you.

It seems like you're referring to the process of understanding and implementing Linear Codes, specifically Error Correcting Codes (ECC) using Generator Matrices. Let me break it down into stages for you. 1. Understanding Error Correcting Codes (ECC): ECCs are essential in data transmission and storage to protect information from errors that may occur during the process. They work by adding redundancy to the original data, allowing the receiver to detect and sometimes even correct errors. 2. Linear Codes: Linear codes are a subset of Error Correcting Codes, where the codewords generated are linear combinations of the original information symbols. These codes have several advantages, such as efficient encoding and decoding algorithms, and the ability to correct errors based on their structure. 3. Generator Matrix: A generator matrix is a square matrix used to represent a linear code. It is an essential tool for encoding data using the code. The generator matrix, denoted as G, is an m x n matrix, where m is the number of parity check bits added, and n is the number of information bits. 4. Decoding Problems: Decoding is the process of recovering the original information from the received codeword, which may contain errors. There are different decoding techniques for linear codes, such as: a. Hard Decision Decoding: In this method, the received signal is quantized into discrete levels, and the decoder makes a hard decision on the most likely transmitted symbol. b. Soft Decision Decoding: This technique uses the received signal's continuous amplitude information to make more accurate decisions about the transmitted symbols. c. Maximum Likelihood Decoding: This method aims to find the codeword that is most likely to have been transmitted, given the received signal. It is generally computationally expensive but provides the best performance. d. Minimum Distance Decoding: This approach focuses on decoding the codeword that is closest to the received signal in terms of Hamming distance. It is based on the fact that the minimum distance between codewords determines the code's error correction capability. 5. Stages in Deciding Problems: When dealing with decoding problems in linear codes, you would typically follow these stages: a. Encode the original information bits using the generator matrix G. b. Transmit the encoded message over a communication channel. c. Receive the encoded message, which may contain errors. d. Decode the received message using one of the decoding techniques mentioned above. e. Determine the most likely original information bits based on the decoded message. Remember, the choice of decoding technique and the specific stages involved may vary depending on the type of linear

Morning of the Exam, you explained the last piece I didn't understand, thank you! And thank you KZfaq for recommending this to ne last second haha

Very well explained, Thank you

I've told to police that I didn't wrote "weed", just 3 errors occurred in "food" due message transfer. They didn't believe me((

Excellent lecture, much appreciated!!

This video make so much sense and can relate a lot to it.

Thank you for making these kind of videos!

Very good lecture! Thanks

Thank you !!! 🤩Very good videos

2:06 . That's what she said.

Thank you! Keep up the good content/quality! New sub here :)

Food job!

Great lecture

thank you, you really saved my life

Everything is connected, isn’t it? Quite fascinating.

you're amazing, god bless you

your videos are the best. why is the first video private?

"ablup is not a valid word" Not yet it isn't

thank you ! Ablup !

so in your cube example, one test you could perform to decode the message is to look at the vertex in question and decide if it falls on one side or the other of a hyperplane that partitions the space. I noticed that the generator matrix [1 1 1] is also the coordinates for the vector of the normal of the hyperplane for the cube. is there an analog for the 4,7 example? is the generator matrix the normal of the hyperplane?

valid

Awesome! Support time :D

Very good

Awesome!

what uml diagram software you using ?

merci

ALLIGABOR 🐊

Would you provide an email address so I can write to you privately ?

Hi Chris,do you have a cryptocurrency wallet.I really want to sponsor but I dont have a paypal account.

Abmork is now a part of my English language and you can't do anything about it.