The influx in data has made it a necessity for technologies which handle it to be developed. For data to be transferred and stored easily, data compression technologies have played a big role. Different techniques are used by this technology. There are two major methods namely lossless and lossy. What they basically do is to modify data to a size which is desirable. Lossy gets rid of data which is not important while lossless removes redundancy. Their name might suggest that data is loss but that is not the case. The data which is intended for transmission is always reserved.
Given that data compression improves speed and saves on bandwidth, it is important in computing. Data compression has been made easy since there are numerous software to compress data. The features for the applications are different. The many operating systems available require different data compression techniques thus developers of data compression technologies have made provision for the numerous operating systems.Since transmission of data is critical for numerous system operations, data compression makes it possible to achieve the right size of data which can be transmitted fast. Storage is another factor which has led to the continuous development of data compression.
Forms of data are numerous. In example, audio data, video data and many others. Encoding methods are different for the different data. Bit rate is the basis of data encoding. The bit rate for encoding data is different for different data. It ascertains that the receiving device is able to decode the data. Also, the hardware which is required for the different data compression is different.
Attribute vector coding has numerous algorithms which have been implemented on different application. In any data which uses Attribute vector coding, close similarities is used. Arrays are used in Attribute vector coding which is important in data compression.Arrays employ similarities in this technology. Because it relies on the same characteristics of elements in an array, removal of redundancies is employed during compression. Lossless technique is employed when data is being compressed.
For the purpose of security and transmission, word encoding is of great importance to computer devices. For quick transmission of data, word encoding converts data into codes. Unlike humans, computers understand codes. Transmission of data is possible when word encoding is used. There are various application word encoding in the real world. Since it can eliminate some parts of data, it uses lossy technique of data compression technology thus making is part of data compression. Data which has been encoded can be difficult to understand thus making it safe from the middlemen. The data which has been encoded can be interpreted by decoders on the target device.