Dynamic Huffman Table Generation With Reduced-Bit Symbol Sorting

The patent changes the parameter representation from full-precision integer counts to a reduced-bit format using exponent-mantissa pairs. Symbol counts are transformed into exponential form where the exponent represents the magnitude order and the mantissa represents the significant digits, allowing accurate sorting with fewer bits. This parameter transformation resolves the contradiction by maintaining sorting accuracy while reducing the latch count from what would be required for full-precision storage.

The patent segments the symbol count value into two separate components: an exponent field and a mantissa field. The exponent (stored in fewer bits) captures the scale of the count, while the mantissa (stored in reduced bits) captures the significant variation. This segmentation allows the sorting operation to work with smaller, divided data structures rather than requiring full-precision latches, thus reducing hardware area while preserving sorting accuracy.

By transforming symbol counts into exponential representation with reduced-bit exponents and mantissas, the patent reduces the total number of bits that need to be processed, stored, and compared during sorting. Fewer bits mean fewer logical operations, smaller data paths, and reduced switching activity, all of which directly降低 power consumption while maintaining the accuracy needed for correct sorting.

Segmenting the count into exponent and mantissa allows independent optimization of each field's bit width. The exponent can use very few bits since it only needs to represent the order of magnitude, and the mantissa uses reduced bits for the significant figures. This segmentation reduces the total computational burden and power consumption compared to processing full-precision counts.

The patent changes the data representation to exponential form with explicit exponent and mantissa fields, which simplifies the sorting logic. Instead of comparing full-precision integers requiring wide comparators and complex timing, the system compares exponents first (determining magnitude order) and then mantissas only when exponents are equal. This parameter transformation reduces timing complexity and wiring requirements.

By segmenting the symbol count into exponent and mantissa components, the patent enables a two-stage sorting process that is less complex than single-stage full-precision sorting. The exponent comparison is simpler and can be done with fewer bits, reducing comparator width and timing constraints. The mantissa comparison is performed only conditionally, further reducing average complexity.