The usefulness of modern digital communication comes from ensuring the data from a source arrives to its destination quickly and correctly. To meet these demands, communication protocols employ data compression and error detection/correction to ensure compactness and accuracy of the data, especially for critical scientific data which requires the use of lossless compression. For example, in deep space communication, information received from satellites to ground stations on Earth come in huge volumes captured with high precision and resolution by space mission instruments, such as Hubble Space Telescope (HST). On-board implementation of communication protocols poses numerous constraints and demands on the high performance given the criticality of data and a high cost of a space mission, including data values. The objectives of this study are to determine which data compression techniques yields the a) minimum data volumes, b) most error resilience, and c) utilize the least amount and power of hardware resources. For this study, a Field Programmable Gate Array (FPGA) will serve as the main component for building the circuitry for each source coding technique. Furthermore, errors are induced based on studies of reported errors rates in deep space communication channels to test for error resilience. Finally, the calculation of resource utilization of the source encoder determines the power and computational usage. Based on the analysis of the error resilience and the characteristics of errors, the requirements to the channel coding are formulated.