Maximizing Efficiency: Benefits of Source and Channel Coding Explained

  • Thread starter Thread starter angeline_happy
  • Start date Start date
  • Tags Tags
    Coding Information
AI Thread Summary
Source coding, or data compression, reduces the number of bits needed for transmission, enhancing efficiency. Channel coding optimizes signal transmission by addressing specific noise characteristics and signal-to-noise ratios (SNR) of the channel. Effective channel coding requires techniques like interleaving and forward error correction (FEC) to maintain a low bit error rate (BER), ideally achieving near-zero BER with proper integration and coding strategies. Shannon's principles advise against splitting wideband channels into narrower bands for data transmission, emphasizing the importance of modulation to maximize channel use. The discussion highlights the evolving technologies in both source and channel coding to improve communication efficiency.
angeline_happy
Messages
16
Reaction score
0
May i know what is the benefits of source coding and channel coding? why we need this?
 
Physics news on Phys.org
Source coding is exemplified as data compression--with obvious benefits: You don't have as many bits to send.

Channel coding fits the signal in the channel. For example, you'll have certain noise characteristics and certain SNR spectrum for a given channel. For a flat SNR spectrum and AWGN (additive white gaussian noise) you need a moderate amount of interleaving (smearing data over time so that no bit gets stomped-on too badly) and a combination of integration and FEC that is optimal. Current FEC works well when the raw BER is 1/50 or better. So you'll want to integrate up to a BER of 1/50, then put a half-rate FEC on top of that. That will give you a BER of (pretty much) zero.

Also, Shannon showed that you should NOT split a wideband channel into multiple narrow bands to send the same data. So this means you need to think more about the modulation in order to fit it snugly in the channel.

If you took the easy way and simply integrated until you had a good BER, you'd find that you would be wasting a lot of the channel.

Things get even more interesting when the noise is not AWGN, and/or the channel SNR spectrum is not flat.
 
Last edited:
What is the latest technology for channel coding and source coding?
 

Similar threads

Back
Top