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___*AKA*___
*SOURCE CODING*
*BIT-RATE REDUCTION*
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*in [signal processing], data compression involves encoding [information] using fewer [bits] than the [original representation]*
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(‘compression’ can be either ‘lossy’ or ‘lossless’)
(‘lossless compression’ reduces ‘bits’ by identifying + eliminating ‘statistical redundancy’)
(no information is lost in ‘lossless compression’)
(‘lossy compression’ reduces bits by removing ‘unnecessary’ or ‘less important’ information)
(the process of reducing the size of a data file is often referred to as ‘data compression’)
(in the context of ‘data transmission’, it is called ‘source coding’)
(or ’encoding’ done at the ‘source’ of the ‘data’ before it is ‘stored’ or ‘transmitted’)
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(‘source coding’ should not be confused with…)
(‘channel coding’)
(for ‘error detection’ + ‘error correction’)
(…or ‘line coding’)
(the means for mapping ‘data’ onto a ‘signal’)
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(‘compression’ is useful because it reduces resources required to ‘store’ + ‘transmit’ data)
(‘computational resources’ are consumed in the ‘compression process’ and, usually, in the ‘reversal’ of the ‘process’ (aka ‘decompression’))
(‘data compression’ is subject to a ‘space–time complexity trade-off’)
(for instance, a ‘compression scheme’ for video may require ‘expensive hardware’ for the ‘video’ to be ‘decompressed’ fast enough to be viewed as it is being ‘decompressed’, and the option to ‘decompress’ the video in full before watching it may be ‘inconvenient’ or require ‘additional storage’)
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(the design of ‘data compression schemes’ involves ‘trade-offs’ among various factors, including the…)
*’degree of compression’*
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*the amount of distortion introduced*
(when using ‘lossy data compression’)
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*the ‘computational resources’ required to ‘compress’ + ‘decompress’ the ‘data’*
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*👨🔬🕵️♀️🙇♀️*SKETCHES*🙇♂️👩🔬🕵️♂️*
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👈👈👈☜*-COMPUTER PROGRAMS-* ☞ 👉👉👉
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💕💝💖💓🖤💙🖤💙🖤💙🖤❤️💚💛🧡❣️💞💔💘❣️🧡💛💚❤️🖤💜🖤💙🖤💙🖤💗💖💝💘
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*🌈✨ *TABLE OF CONTENTS* ✨🌷*
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🔥🔥🔥🔥🔥🔥*we won the war* 🔥🔥🔥🔥🔥🔥