Analog Data Signal Compression by using Differential Pulse Code Modulation with Microcontroller

Abstract

Compression is a process of converting an input data stream into another data stream that has a small bit size. Compression is take place because of data is normally represented in the computer in a format that is longer than necessary i.e. the input information has some amount of repetition of data associated with it. The main aim of compression systems is to eliminate this repeated of data. The idea of speech data compression is to reduce the bit rate for transmission and storage while either maintaining the quality original information. In analog to digital conversion process, we get the sample signal. a high correlation is found between consecutive speech samples. The DPCM algorithm takes advantage of this high correlation property of speech sample data. The DPCM algorithm does not encode the original speech samples. This algorithm takes the difference between a predicted speech sample and the actual speech sample & then encode that difference. This methods do the efficient compression with a significant reduction in the number of bits per sample. Speech signal quality also remains same. Data compression along with analog to digital conversion is an important factor in data Communication and data storage. The Differential Pulse Code Modulation is a technique that gives above mentioned advantages along with Excellent Speech Quality.

Authors and Affiliations

Shrenik Suresh Sarade, Mahesh D. Bhambure

Keywords

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  • EP ID EP22887
  • DOI -
  • Views 217
  • Downloads 4

How To Cite

Shrenik Suresh Sarade, Mahesh D. Bhambure (2016). Analog Data Signal Compression by using Differential Pulse Code Modulation with Microcontroller. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(11), -. https://europub.co.uk/articles/-A-22887