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What is the importance of linear prediction in signal processing?
For one example, linear prediction is used for predicting the next "sample" of human voice in conversation, at the sending side of the conversation. The actual next sample is subtracted from the predicted sample and this difference is called the error. The sending side encodes and transmits only the error signal because the receiving side uses the same prediction algorithm and can reconstruct the error free signal equals the predicted signal plus the received error signal. There's an advantage only if the error is small enough to be transmitted with fewer bits.
If today is Monday after how may days next Monday will come?
It will be Monday again in 7 days.
What is 24 hours from 645 am?
6:45 am the next days.
How many days in 4 in a half days?
In 4 and a half days, there would be 4 whole days and a half of the next day, 12 out of the 24 hours perhaps !
If today is Monday how many days until next Monday?
7
