Differential Pulse Code Modulation (DPCM) is an advanced analog-to-digital signal conversion technique used to reduce redundancy and bit rate in the encoded signal. In simple terms, DPCM works by sampling the analog signal and encoding the difference between the sampled value and the predicted value.
How does DPCM differ from PCM?
Although DPCM and PCM are both used for signal conversion, DPCM differs from PCM in how quantization is done to distinguish between the particular sample and the expected price. PCM encodes each sample’s value, while DPCM encodes the difference between samples, taking advantage of the correlation between successive samples to reduce redundancy and bit rate.
What are the benefits of using DPCM?
DPCM offers a moderate signal-to-noise ratio and can provide good compression ratios if performed well. It is an excellent choice for signals with a high correlation between successive samples.
How is DPCM implemented?
The basic concept of DPCM involves predicting the current sample value based on previous samples and encoding the difference between the actual value of the sample and the predicted value. The implementation of the technique used to predict the current sample value is crucial to DPCM’s effectiveness in reducing redundancy and bit rate. Predictive coding is used, which means that the current sample’s value is predicted based on past samples.
Conclusion
Differential Pulse Code Modulation is a predictive coding technique that encodes the difference between successive samples to reduce redundancy and bit rate. DPCM offers moderate signal-to-noise ratio and can achieve good compression ratios when implemented well.
FAQs
What kind of signals are best suited for DPCM?
Signals with a high correlation between successive samples are best suited for DPCM since it takes advantage of the redundancy in the samples to reduce bit rate and increase efficiency.
How is the predicted value determined in DPCM?
The predicted value in DPCM is determined based on past samples using a prediction technique. The accuracy of the prediction technique used is essential to the effectiveness of DPCM in reducing redundancy and bit rate.
