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LLR quantizer floors negative half values · case 02

Negative samples are quantised one step less reliable than positive samples of equal magnitude.

Member previewVariant 2 · 3 implementations · 8 checks per implementation

Case contract

Quantise soft demodulator samples to signed integer LLRs for a hard/soft decoder. Each sample y (integer) is scaled (v = y * scale, in hundredths), rounded to the nearest integer with halves rounded away from zero, and saturated symmetrically to +-(2^(bits-1) - 1). Positive LLR means bit 0, negative bit 1, zero is an erasure (None). Return [llrs, hard decisions].

Why this case matters

Fixed-point receivers quantise LLRs before feeding Viterbi or LDPC decoders; bias at this stage costs coding gain.

One recorded failure

Sample boundary fixture

This sample comes from the broken implementation of a controlled reproducer.

Boundary fixtureActualExpectedOutcome
regression [[-1049, -1050, -1051], 1, 8][[-10, -10, -11], [1, 1, 1]][[-10, -11, -11], [1, 1, 1]]Failed

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