Shannon Fano Coding- Data Compression (FULL SCREEN) 

best presentation...........simple and straight forward.......

I'm genuinely happy when I finally find that video that is not in broken English.

El concepto de compresión de datos es erróneo. Y el límite de la entropía de la información de Shannon se refiere a una representación de la información como si fuese materia. Los datos no pueden "comprimirse" porque no son materiales, no son materia. Los datos son número, y el concepto debe ser exclusivamente el de "codificación", no de compresión... Es la materia la que es susceptible de "compresion"... Shannon habla de "entropía de la información" como si se tratase de materia, de átomos desordenados... Es una representación mental errónea para la información transmisible, que es número y debe ser tratada y entendida como tal. La operaciones matemáticas pueden utilizarse solamente con los números. No son aplicables a la materia ni a otros tipos de símbolos del lenguaje que se hable, escriba o represente. Sumar, restar, multiplicar, dividir, etc. La solución al problema de la compresión (no limitada) de datos vendrá de la comprensión de esta cuestión, cuando se termine de entender que aquí hablamos de números, no de materia, y evitemos representar la información como si fuesen átomos...🫡

Easy, short and clear. Thank you!

Your teaching way is very easy and very simple.you explained this topic in a very short time.

much better than clg teachers 😂😂😂😂😂 BTW thnx it helps alot 👌👍

Thankx man.. U solved my confusion about partitioning the symbols..

Short and straight to point. Thanks!

Thank you sir, short and clear.

it was great explanation. thanks a ton

Really helpful...thnx for the simple representation...

it was at this moment i knew i was gonna pass mcmaster 4j03. lovely

Well explained!

Very nice explanation , short and precise.

Hvala brate! Pozdrav brate!

Straight to the point. Thanks.

isnt there a fault? in your first step the most equal propability would be 0,5 ( 30+20 ) and 0,5 (0,25 + 0,05 + 0,12 + 0,08)

great explanation , thanks

Thank you sooooo much

this should be shown at all teacher orientations

You're awesome ! Great explanation !

thank you this was very helpful and easy to understand

easy and effective explanation

Short and clear! Thank you!!

Thank you...I learned it easy

tks u so much !!

Thanks

thx so much! clear and well explained!

Thank you very much!

clear. thanks

Thank you so much sir!!

excellent and clear

so thankful to you

nicely explained ,thx man!!

Good job

Need video on how to get the number back to the letter

Nice video

Thank you so much!!!!!!!!!!!

it was very helpful thank you

it was best explanation

Thank you so much

thanks mate. saviour

what if two partitions give us the same two values? for example one parts as 0.1 and 0.15 and the other parts as 0.15 and 1.

Nicely Explained!

Thanks teacher

tnx g

very helpful thanks a lot

good job dude

Thank you

superb

woww those are literally help mee

nice one, thanks!

thanks it really helped.. i have a doubt- does the no. of stages depends on the no. of symbols ? are the stages (X-2) [X=no. of symbols] ?

Thanks!

awesome

Its very nice

thanks you

thanks man

thx that's really helpful

at the time in video 3:03 assingned value is confusing i.e. has been interchanged

thnx

what if all symbols have same probability??

can we compress image also using shanon fano elias coding ? please reply

Please upload lampel ziv code with example explain

Thnx need more exemple please?

Easy!

thanks

thanks teacher

thanks you

awesome