Answer:
Huffman code is use for encoding the language. The entropy when calculated is 1.5.
Explanation:
Using Huffman Coding scheme to encode:
The huffman coding scheme is described in the attachment.
To find entropy; we use the formula given below:
H = ∑
where H = Entropy and p = probability
p(A) = 50% = 1/2
p(B) = 25% = 1/4
p(C) = 25% = 1/4
Answer:
function dataSamples=AdjustMinValue(numberSamples, userSamples, minValue)
dataSamples=userSamples;
%for loop
for i=1:numberSamples
%checking if dataSamples value at index,i
%is less than minValue
if dataSamples(i)<minValue
%set double of dataSamples value
dataSamples(i)= 2*dataSamples(i);
end
end
end
Explanation:
The given code is in MATLAB.
Answer:
statement........................
Answer:
import
Explanation:
the <em>import </em>keyword is used to import external modules into a python script.
This code attempts to fuse two strings together. So,
fuse("Apple", "Banana")
would return "ABpapnlaen a"
However, there are a couple of things wrong with this code:
- The for loop is incomplete (probably a copy paste error)
- It is unclear from the code if the array jawaban will overflow if kata1 and kata2 are large (it probably will)
- Biggest problem: the jawaban array is declared on the stack, which means it will be cleaned up when the function returns. So the caller of this function will reference unallocated memory! This is a huge bug!!
