Overview
Patched Frame of Reference is a compression method that reduces data size through coding, prediction, transform, or dictionary structure. It works best when the data matches the model, code table, predictor, or transform being used.
Patched Frame of Reference reduces data size using coding, prediction, dictionary, or transform structure.
Compact metadata for implementation and discovery.
Patched Frame of Reference is a compression method that reduces data size through coding, prediction, transform, or dictionary structure. It works best when the data matches the model, code table, predictor, or transform being used.
Quick facts
Runtime and memory behavior at a glance.
Best
O(n)
Average
O(n)
Worst
O(n log n)
Space
O(n)
value_i = base + packed_delta_i + exception_iStores most deltas compactly and patches outliers separately.
Show symbols being mapped into codes, dictionary entries, residuals, or transform coefficients.
Patched Frame of Reference operates in O(n) time and O(n) space within the Compression family. Key governing relation: value_i = base + packed_delta_i + exception_i. Often compared with Huffman Coding and LZ77.
What each reference supports for this entry.
Compression reference for Patched Frame of Reference integer compression using frame-of-reference values and exception patches.
Good next jumps from the relationship graph, ranked for useful discovery.
Patched Frame of Reference uses a different compression model or code representation than Huffman Coding.