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No... well not really. Lossy compression is usually used on analogue signals that are generally speaking quite smooth. Sounds is made up of waves which move up and down slowly, so raw sound data captured by a computer records the absolute values thousands of times a second. Really all that is needed is an overview of what the sound wave is doing (heading up slowly, heading up quickly). Better compression is achieved using frequency analysis. Something like MP3 allows music to be compressed at a ratio of about 10:1 without any real loss in quality. Even with much higher compression where there is a noticeable loss in quality the music can still be appreciated.
Text however isn't analogue and isn't smoothly changing so lossy compression as we traditionally use it wouldn't work. However, non-lossy compression algorithms (like ZIP) could be tuned to intentionally throw away some characters, or change some characters so that they compress better. What comes out wouldn't be exactly the same as what went in, but then the message and the intention of the text would probably still survive.
But the compression gains wouldn't be dramatic like they are with audio or video... Text already compresses very very well without the need to resort to lossy compression techniques...
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Why some bulk message sending software encountering spamming and sending failed problems?
Basically, mobile communication use compression techniques. Two types of compression techniques are there. they are: 1. lossy compression 2. lossless compression. While the user send an SMS, copmression technique is applied at the transmitter section and decompression technique is applied at the receiver. These compression techniques were takes place automatically. 1. In lossy compression, some data may lost at the receiver while performing decompression. 2. In lossless compression, the transmitted data is received without any loss at the receiver. Due to lossy compression only, u may have some problems at the receiver side such as "some text missing". etc.
What are the advantages and disadvantages of lossless and lossy compression?
Lossless compression results in a closer representation of the original media, and thus a higher quality end product. The disadvantage is that the resulting file will be larger than if you had used a lossy compression format. Lossy compression can give you a smaller file size, but the resulting end product may be in some ways inferior to the original.
What is a text compression?
Text compression is code that compresses text. Text often compresses tighter than other code since it uses a limited spectrum of the characters, and there are only so many words.
What file types will save the most file space after you compress them?
text or .txt
Which file type will save the most file space after you compress it?
Text, or .txt
What techniques are used to minimize the file size of animations?
Image compression, sound compression, use of text (breaking up text causes the file size to increase).
Is Uncompressing a file the same as zipping a file?
No, compressing is making the file smaller by size and extracting is taking out the files to be ran. Basically, you compress a file to keep space and de-compress/extract it back. Decompressing=Extracting
How do you make a Text Document on WinRAR?
You have to make the Text Document first, then compress it into a .RAR or .ZIP format. If you have WinRAR installed already, then just right-click the Text Document and click "Add to archive...".
What has the author Timothy C Bell written?
Timothy C. Bell has written: 'Text compression' -- subject(s): Text processing (Computer science)
Does it cost to text using text free?
no, that is y the name is text FREE
How do you align text using notepad?
we can align text using notepad by by going to the font option
What is the difference between compression file and decompression file?
File Compression and DecompressionThe NTFS file system volumes support file compression on an individual file basis. The file compression algorithm used by the NTFS file system is Lempel-Ziv compression. This is a lossless compression algorithm, which means that no data is lost when compressing and decompressing the file, as opposed to lossy compression algorithms such as JPEG, where some data is lost each time data compression and decompression occur.Data compression reduces the size of a file by minimizing redundant data. In a text file, redundant data can be frequently occurring characters, such as the space character, or common vowels, such as the letters e and a; it can also be frequently occurring character strings. Data compression creates a compressed version of a file by minimizing this redundant data.Each type of data-compression algorithm minimizes redundant data in a unique manner. For example, the Huffman encoding algorithm assigns a code to characters in a file based on how frequently those characters occur. Another compression algorithm, called run-length encoding, generates a two-part value for repeated characters: the first part specifies the number of times the character is repeated, and the second part identifies the character. Another compression algorithm, known as the Lempel-Ziv algorithm, converts variable-length strings into fixed-length codes that consume less space than the original strings.The NTFS File System File CompressionOn the NTFS file system, compression is performed transparently. This means it can be used without requiring changes to existing applications. The compressed bytes of the file are not accessible to applications; they see only the uncompressed data. Therefore, applications that open a compressed file can operate on it as if it were not compressed. However, these files cannot be copied to another file system. If you compress a file that is larger than 30 gigabytes, the compression may not succeed.The following topics identify the NTFS file system file compression:
