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DMBRLE: A lossless compression algorithm for solar irradiance data acquisition

In this paper a new compression scheme has been formulated based on jointly delta modulation with biasing and Run Length Encoding technique for Direct Normalized Solar Irradiance data. The key features of this Compression Algorithm (Delta Modulation with Biasing and Run Length Encoding techniques viz. DMBRLE) are: it requires less memory as it belongs to direct compression method and its lossless nature. The main Goal of this algorithm has been achieved by compressing successive same sample elements as well as low frequency sample changes region. This is substantiated on jointly First Sample Difference (FSD) and S-Run Length Encoding (S-RLE) techniques. FSD is modified to concentrate at low frequency spectra. Simultaneously S-Run length Encoding is structured to fix the region having successive same sample value. The Compression Algorithm is modified stepwise and its effect on that is a large non-linear in nature. However, the quality of the recovered signal is demonstrated by computing Normalized Root Mean Square Error (NRMES). The result establishes that this developed compression scheme increases the Compression Ratio up to a reasonable value without threw off the Lossless nature.