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James Cheese High-rate sampling and compression in Embedded Sensor Networks B.Sc. Computer Science 20/03/2009 1 I certify that the material contained in this dissertation is my own work and does not
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High-rate sampling and compression is a method used to reduce the amount of data collected from a system by sampling at a higher rate and then compressing the sampled data to reduce storage requirements.
The requirement to file high-rate sampling and compression varies depending on the industry and specific regulations. In general, organizations that deal with large amounts of data and have the need to optimize storage and processing may choose to implement high-rate sampling and compression.
Filling out high-rate sampling and compression involves implementing the necessary hardware and software systems to perform the high-rate sampling, compression, and storage of data. This process may require technical expertise and specific knowledge of the data collection and compression methods employed.
The purpose of high-rate sampling and compression is to optimize storage and processing resources by reducing the amount of data that needs to be stored and processed. It allows for more efficient data collection, analysis, and retrieval, without compromising the integrity and accuracy of the collected data.
The specific information that needs to be reported on high-rate sampling and compression depends on the industry and regulatory requirements. Generally, it includes details about the sampling rate, compression methods used, storage capacity, data retention policies, and any relevant performance metrics or data quality assurance measures.
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