Consider the following binary data input to the receiver:
11001100011111000001110101110010001111110010001111101000101100110001111110101010101011000010101011100
-How many decodable data frames are in the data?
-What is the decoded payload of the frame (excluding delimiters)?
1) To retrieve the decoded Dataframe either we can use JSON or use the simple function in R. The later is easier to implement so we will understand the solution by the same.
Decodable Dataframes are basically how we can retrieve the data from the dataframes which store the data in a proper format.
If I run the following code in R console:-
df<-data.frame(11001100011111000001110101110010001111110010001111101000101100110001111110101010101011000010101011100) df nrow(df) ncol(df)
From the above code my data can be decoded in rows and columns
Output is as follows-
X1.1001100011111e.100 1 1.10011e+100 [1] 1 [1] 1
2) To get the decoded payload of the frame we need to convert the bits into bytes.So by grouping the bits in a group of 8,number of bytes is 1.375137501388875e+99
Now we can use the following code in JSON-
function Decoder(bytes,port) var a=(bytes[0] << 8) | byte[1]; return value : a;
So the output is 2.
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