When we sample a signal, such as speech we quantize the signal\'s amplitude to a

Question

When we sample a signal, such as speech we quantize the signal's amplitude to a set of integers. For a b - bit converter, signal amplitude to a set of integers. For a converter, signal amplitudes are represented by integers. Although these in could be represented by a binary code for digital transmission, we should consider whether a Huffman coding would be more efficient Load into Matlab the segment of speech contained in its sampled values lie in the interval ( - 1, 1)- to simulate a 3 - bit converter, we use Matlab's round function to create quantized amplitudes corresponding to the integer [0 1 2 3 4 5 6 7] Find the relative frequency of occurrence of quantized amplitude values. The following Matlab program computes the number of times each quantized value occurs. Find the entropy of this source. Find the Huffman code for this source, How would you characterize this source code in words? How manly fewer bits would be used in transmitting this speech segment with your Huffman code Huffman code in comparison to simple binary coding?

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