Classify each code in the table below according to the standard definitions and when you have more time evaluate the length, entropy and efficiency  for each instantaneously decodable code.Source SymbolProbabilitiesCode-1Code-2Code-3Code-4Code-5X11/2100010001X21/41011011101010X31/811010110110110110X41/811101111111011011001

Deign Shannon Fano Code for the following source code and calculate the length, entropy and efficiency of this code.

Variable-length source codes provide bit savings compared to fixed-length source codes.Group of answer choicesTrueFalse

huffmann codes areSelect one:a. uniquely decodableb. lossless source coding techniquec. all of themd. variable length codes

From the given table, determine the Entropy (H)Symbol Probability Time of TransmitX0 0.3 18 µsecX1 0.25 17 µsecX2 ? 22 µsecExpress your answer in 4 decimal places.

Each of a set of IID symbols is generated with nonuniform probability by a certain process and is represented by a variable length code according to the following table.Symbol     Probability     Code wordA 0.53 0B 0.07 111C 0.24 100D 0.06 1100E 0.04 1101F 0.06 101What is the average number of bits per symbol generated? (Give your answer to 3 significant figures, WITHOUT units)