Data Processing


Data processing is the collection and manipulation of data to produce meaningful information. In the context of space and astronautical engineering, data processing involves the acquisition, storage, retrieval, and analysis of data from various sources such as satellites, spacecraft, and ground-based sensors. This data is processed to generate insights and knowledge that can be used to make informed decisions about space missions, spacecraft design, and space exploration. Data processing techniques used in space and astronautical engineering include signal processing, image processing, data compression, and data fusion. Signal processing is used to extract information from signals received from spacecraft and satellites. Image processing is used to enhance and analyze images captured by spacecraft cameras. Data compression is used to reduce the amount of data that needs to be transmitted from spacecraft to ground stations. Data fusion is used to combine data from multiple sources to generate a more complete picture of the space environment.


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  • Cyclic Redundancy Check: Cyclic Redundancy Check (CRC) is a method used to detect errors in digital data transmission. It involves adding a fixed-size, extra data bit sequence to the end of the data block being transmitted. The receiver then performs the same calcu ... Read More >>
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