calculate the compression ratio obtained by hoffman coding. the compression ratio will be calculated by performing the hoffman coding on the paper over that table. in matlab

To calculate the compression ratio obtained by Huffman coding in MATLAB, you can follow these steps:

1. Read the input data, such as the text file or image file, into MATLAB using appropriate functions.
2. Perform Huffman coding on the input data using MATLAB's in-built functions or implement the algorithm yourself.
3. Calculate the size of the input data before Huffman coding and after Huffman coding.
4. The compression ratio can be calculated as the ratio of the original size to the compressed size.

Here's an example MATLAB code to calculate the compression ratio using Huffman coding:

main.m
% Read input data
data = imread('input_image.jpg');

% Convert input data to binary stream
binaryData = dec2bin(data(:));

% Perform Huffman coding
huffmanTree = huffmandict(unique(binaryData), histcounts(binaryData));
encodedData = huffmanenco(binaryData, huffmanTree);

% Calculate sizes
originalSize = numel(data) * 8;
compressedSize = numel(encodedData);

% Calculate compression ratio
compressionRatio = originalSize / compressedSize;

% Display compression ratio
disp(['Compression Ratio: ' num2str(compressionRatio)]);
526 chars
20 lines

Please note that this example assumes you are working with an image file 'input_image.jpg'. You may need to modify the code based on your specific input data format.

Remember to replace 'input_image.jpg' with the actual path to your input file.

Hope this helps!