Image and speech compression by ratio comparison using Huffman coding
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This book illustrates the effect on image and speech with Huffman coding algorithm by detecting ratio. By using ratio detection technique and using Huffman coding, the images and speech signals are compressed. The implementation is done using lossless compression technique so there is no loss of pixels information and so reproduce the original image back using decompression technique. The speech is processed and compressed using linear predictive coding technique. The sampling frequency used for the coding and bit rate was 16 kHz and 15450 bits per second respectively. The tradeoffs between th...
This book illustrates the effect on image and speech with Huffman coding algorithm by detecting ratio. By using ratio detection technique and using Huffman coding, the images and speech signals are compressed. The implementation is done using lossless compression technique so there is no loss of pixels information and so reproduce the original image back using decompression technique. The speech is processed and compressed using linear predictive coding technique. The sampling frequency used for the coding and bit rate was 16 kHz and 15450 bits per second respectively. The tradeoffs between the bit rate, end to end delay, speech quality and complexity were analyzed. Simulations as well as segmental SNR evaluations were done to analyze the performance of the implemented techniques and algorithms.
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