This was a group Experiment - finding out relevant papers and patents on DSPP applications. We, as a group of 5 - Abhijit Haridas, Shreyas Padte, Vipan Koul, Sakshi Joshi and myself had to study on research papers and patents which implemented compression of the audio signal. We chose to study "Audio Compression" as an application.
Paper Review
Paper: International Journal of Computer Applications (0975 – 8887) Volume 86 – No 13, January 2014
Summary:
Audio compression has been carried out by various methods such as Discrete Cosine Transform, Wavelet Transform, Wavelet Packet Transform (W.P.T) & Cosine Packet Transform. Mean compression ratio has been calculated for each of above methods. Various other parameters have been calculated and compared. Output for each transformation was observed and it was found that Wavelet Packet Transform gives the best compression ratio as compared to other methods.
Plagiarism link: https://drive.google.com/open?id=0B06hNCrbOenyVHZtRVl5Zkctd2s
Nicely written summary
ReplyDeleteSpeech compression is an important practice so that less storage space is required and also less energy and transmission power is utilized during transmission.
ReplyDeleteHere Huffman Coding is used due it's high efficiency
ReplyDeleteHuffman coding is very efficient technique.
DeleteHuffman coding has very high efficiency.
DeleteNice application
ReplyDeleteUsed huffman encoding.
DeleteWell written review
ReplyDelete