Working TAV-DT encoder/decoder

This commit is contained in:
minjaesong
2025-12-12 01:56:29 +09:00
parent 300f88a44c
commit 01a89f3b36
9 changed files with 2412 additions and 667 deletions

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/**
* LDPC Rate 1/2 Codec Implementation
*
* Simple LDPC for TAV-DT header protection.
* Uses a systematic rate 1/2 code with bit-flipping decoder.
*
* The parity-check matrix is designed for good error correction on small blocks.
* Each parity bit is computed as XOR of multiple data bits using a pseudo-random
* but deterministic pattern.
*
* Created by CuriousTorvald and Claude on 2025-12-09.
*/
#include "ldpc.h"
#include <string.h>
#include <stdio.h>
// =============================================================================
// Parity-Check Matrix Generation
// =============================================================================
// For rate 1/2 LDPC: n = 2k bits, parity-check matrix H is (n-k) x n = k x 2k
// We use H = [P | I_k] where P is the parity pattern matrix
// This gives systematic encoding: c = [data | parity] where parity = P * data
// Parity pattern: each parity bit j depends on data bits where pattern[j][i] = 1
// We use a regular pattern with column weight 3 (each data bit affects 3 parity bits)
// and row weight varies to cover the data bits well
// Simple hash function for generating parity connections
static inline uint32_t hash_mix(uint32_t a, uint32_t b) {
a ^= b;
a = (a ^ (a >> 16)) * 0x85ebca6b;
a = (a ^ (a >> 13)) * 0xc2b2ae35;
return a ^ (a >> 16);
}
// Get bit from byte array
static inline int get_bit(const uint8_t *data, int bit_idx) {
return (data[bit_idx >> 3] >> (7 - (bit_idx & 7))) & 1;
}
// Set bit in byte array
static inline void set_bit(uint8_t *data, int bit_idx, int value) {
int byte_idx = bit_idx >> 3;
int bit_pos = 7 - (bit_idx & 7);
if (value) {
data[byte_idx] |= (1 << bit_pos);
} else {
data[byte_idx] &= ~(1 << bit_pos);
}
}
// Flip bit in byte array
static inline void flip_bit(uint8_t *data, int bit_idx) {
int byte_idx = bit_idx >> 3;
int bit_pos = 7 - (bit_idx & 7);
data[byte_idx] ^= (1 << bit_pos);
}
// Get list of data bits that affect parity bit j
// Returns number of connected data bits, stores indices in connections[]
// For rate 1/2: data bits are 0 to k*8-1, parity bits are k*8 to 2*k*8-1
static int get_parity_connections(int parity_idx, int k_bits, int *connections) {
int count = 0;
// Use a deterministic pseudo-random pattern
// Each parity bit connects to approximately k_bits/3 data bits
// Different seeds for different parity positions ensure coverage
uint32_t seed = hash_mix(0xDEADBEEF, (uint32_t)parity_idx);
for (int i = 0; i < k_bits; i++) {
// Each data bit has ~3/k_bits chance of connecting to this parity bit
// Total connections per parity ~ 3 (column weight)
uint32_t h = hash_mix(seed, (uint32_t)i);
if ((h % (k_bits / 3 + 1)) == 0) {
connections[count++] = i;
}
}
// Ensure at least 2 connections per parity bit
if (count < 2) {
connections[count++] = parity_idx % k_bits;
connections[count++] = (parity_idx + k_bits / 2) % k_bits;
}
return count;
}
// Get list of parity bits affected by data bit i
static int get_data_connections(int data_idx, int k_bits, int *connections) {
int count = 0;
for (int j = 0; j < k_bits; j++) {
int parity_conns[LDPC_MAX_DATA_BYTES * 8];
int n_conns = get_parity_connections(j, k_bits, parity_conns);
for (int c = 0; c < n_conns; c++) {
if (parity_conns[c] == data_idx) {
connections[count++] = j;
break;
}
}
}
return count;
}
// =============================================================================
// Initialization
// =============================================================================
static int ldpc_initialized = 0;
void ldpc_init(void) {
if (ldpc_initialized) return;
// No pre-computation needed - patterns generated on the fly
ldpc_initialized = 1;
}
// =============================================================================
// Encoding
// =============================================================================
size_t ldpc_encode(const uint8_t *data, size_t data_len, uint8_t *output) {
if (!ldpc_initialized) ldpc_init();
if (data_len > LDPC_MAX_DATA_BYTES) {
data_len = LDPC_MAX_DATA_BYTES;
}
int k_bits = (int)(data_len * 8); // Number of data bits
// Copy data to output (systematic encoding)
memcpy(output, data, data_len);
// Initialize parity bytes to zero
memset(output + data_len, 0, data_len);
// Compute parity bits
for (int j = 0; j < k_bits; j++) {
// Get data bits connected to parity bit j
int connections[LDPC_MAX_DATA_BYTES * 8];
int n_conns = get_parity_connections(j, k_bits, connections);
// Parity bit = XOR of connected data bits
int parity = 0;
for (int c = 0; c < n_conns; c++) {
parity ^= get_bit(data, connections[c]);
}
// Set parity bit
set_bit(output + data_len, j, parity);
}
return data_len * 2;
}
// =============================================================================
// Decoding
// =============================================================================
int ldpc_check_syndrome(const uint8_t *codeword, size_t len) {
if (!ldpc_initialized) ldpc_init();
size_t data_len = len / 2;
int k_bits = (int)(data_len * 8);
// Check all parity equations
for (int j = 0; j < k_bits; j++) {
int connections[LDPC_MAX_DATA_BYTES * 8];
int n_conns = get_parity_connections(j, k_bits, connections);
// Compute syndrome bit: XOR of connected data bits XOR parity bit
int syndrome = get_bit(codeword + data_len, j);
for (int c = 0; c < n_conns; c++) {
syndrome ^= get_bit(codeword, connections[c]);
}
if (syndrome != 0) {
return 0; // Syndrome non-zero: errors detected
}
}
return 1; // Zero syndrome: valid codeword
}
int ldpc_decode(const uint8_t *encoded, size_t encoded_len, uint8_t *output) {
if (!ldpc_initialized) ldpc_init();
if (encoded_len < 2 || (encoded_len & 1) != 0) {
return -1; // Invalid length
}
size_t data_len = encoded_len / 2;
if (data_len > LDPC_MAX_DATA_BYTES) {
return -1;
}
int k_bits = (int)(data_len * 8);
// Working copy of codeword
uint8_t codeword[LDPC_MAX_DATA_BYTES * 2];
memcpy(codeword, encoded, encoded_len);
// Bit-flipping decoder
for (int iter = 0; iter < LDPC_MAX_ITERATIONS; iter++) {
// Compute syndromes (which parity checks fail)
int syndrome[LDPC_MAX_DATA_BYTES * 8];
int syndrome_count = 0;
for (int j = 0; j < k_bits; j++) {
int connections[LDPC_MAX_DATA_BYTES * 8];
int n_conns = get_parity_connections(j, k_bits, connections);
// Syndrome bit = XOR of connected data bits XOR parity bit
syndrome[j] = get_bit(codeword + data_len, j);
for (int c = 0; c < n_conns; c++) {
syndrome[j] ^= get_bit(codeword, connections[c]);
}
if (syndrome[j]) syndrome_count++;
}
// Check if we're done (all syndromes zero)
if (syndrome_count == 0) {
// Success - copy decoded data
memcpy(output, codeword, data_len);
return 0;
}
// Count failed checks for each bit
int data_fails[LDPC_MAX_DATA_BYTES * 8];
int parity_fails[LDPC_MAX_DATA_BYTES * 8];
memset(data_fails, 0, sizeof(data_fails));
memset(parity_fails, 0, sizeof(parity_fails));
for (int j = 0; j < k_bits; j++) {
if (syndrome[j]) {
// This check failed - increment count for all connected bits
int connections[LDPC_MAX_DATA_BYTES * 8];
int n_conns = get_parity_connections(j, k_bits, connections);
for (int c = 0; c < n_conns; c++) {
data_fails[connections[c]]++;
}
parity_fails[j]++;
}
}
// Find bit with most failures
int max_fails = 0;
int flip_type = 0; // 0 = data, 1 = parity
int flip_idx = 0;
for (int i = 0; i < k_bits; i++) {
if (data_fails[i] > max_fails) {
max_fails = data_fails[i];
flip_type = 0;
flip_idx = i;
}
}
for (int j = 0; j < k_bits; j++) {
if (parity_fails[j] > max_fails) {
max_fails = parity_fails[j];
flip_type = 1;
flip_idx = j;
}
}
// Flip the most suspicious bit
if (max_fails > 0) {
if (flip_type == 0) {
flip_bit(codeword, flip_idx);
} else {
flip_bit(codeword + data_len, flip_idx);
}
} else {
// No progress possible
break;
}
}
// Failed to decode - return best effort
// Check if we at least have valid data by syndrome count
int final_syndromes = 0;
for (int j = 0; j < k_bits; j++) {
int connections[LDPC_MAX_DATA_BYTES * 8];
int n_conns = get_parity_connections(j, k_bits, connections);
int syn = get_bit(codeword + data_len, j);
for (int c = 0; c < n_conns; c++) {
syn ^= get_bit(codeword, connections[c]);
}
if (syn) final_syndromes++;
}
// If only a few syndromes fail, return data anyway (soft failure)
if (final_syndromes <= k_bits / 8) {
memcpy(output, codeword, data_len);
return 0; // Partial success
}
// Total failure - return original data as best effort
memcpy(output, encoded, data_len);
return -1;
}

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/**
* LDPC Rate 1/2 Codec for TAV-DT
*
* Simple LDPC implementation for header protection in TAV-DT format.
* Rate 1/2: k data bytes → 2k encoded bytes (doubles the size)
*
* Uses systematic encoding where first k bytes are data, last k bytes are parity.
* Decoding uses iterative bit-flipping algorithm.
*
* Designed for small blocks (headers up to 64 bytes).
*
* Created by CuriousTorvald and Claude on 2025-12-09.
*/
#ifndef LDPC_H
#define LDPC_H
#include <stdint.h>
#include <stddef.h>
// Maximum block size (data bytes before encoding)
#define LDPC_MAX_DATA_BYTES 64
// LDPC decoder parameters
#define LDPC_MAX_ITERATIONS 50
/**
* Initialize LDPC codec.
* Must be called once before using encode/decode functions.
* Thread-safe: uses static initialization.
*/
void ldpc_init(void);
/**
* Encode data block with LDPC rate 1/2.
*
* @param data Input data bytes
* @param data_len Length of input data (1 to LDPC_MAX_DATA_BYTES)
* @param output Output buffer (must hold 2 * data_len bytes)
* @return Output length (2 * data_len)
*
* Output format: [data bytes][parity bytes]
* The output is systematic: first data_len bytes are the original data.
*/
size_t ldpc_encode(const uint8_t *data, size_t data_len, uint8_t *output);
/**
* Decode LDPC rate 1/2 encoded block.
*
* @param encoded Input encoded data (2 * data_len bytes)
* @param encoded_len Length of encoded data (must be even, max 2*LDPC_MAX_DATA_BYTES)
* @param output Output buffer for decoded data (encoded_len / 2 bytes)
* @return 0 on success, -1 if decoding failed (too many errors)
*
* Uses iterative bit-flipping decoder.
*/
int ldpc_decode(const uint8_t *encoded, size_t encoded_len, uint8_t *output);
/**
* Calculate syndrome for validation.
*
* @param codeword Encoded codeword (2 * data_len bytes)
* @param len Length of codeword
* @return 1 if valid (zero syndrome), 0 if errors detected
*/
int ldpc_check_syndrome(const uint8_t *codeword, size_t len);
#endif // LDPC_H

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/**
* Reed-Solomon (255,223) Codec Implementation
*
* Standard RS code over GF(2^8) for TAV-DT forward error correction.
*
* Created by CuriousTorvald and Claude on 2025-12-09.
*/
#include "reed_solomon.h"
#include <string.h>
#include <stdio.h>
// =============================================================================
// Galois Field GF(2^8) Arithmetic
// =============================================================================
// Primitive polynomial: x^8 + x^4 + x^3 + x^2 + 1 = 0x11D
#define GF_PRIMITIVE 0x11D
#define GF_SIZE 256
#define GF_MAX 255
// Lookup tables for GF(2^8) arithmetic
static uint8_t gf_exp[512]; // Anti-log table (doubled for easy modular reduction)
static uint8_t gf_log[256]; // Log table
static uint8_t gf_generator[RS_PARITY_SIZE + 1]; // Generator polynomial coefficients
static int rs_initialized = 0;
// Initialize GF(2^8) exp/log tables
static void init_gf_tables(void) {
uint16_t x = 1;
for (int i = 0; i < GF_MAX; i++) {
gf_exp[i] = (uint8_t)x;
gf_log[x] = (uint8_t)i;
// Multiply by alpha (primitive element = 2)
x <<= 1;
if (x & 0x100) {
x ^= GF_PRIMITIVE;
}
}
// Double the exp table for easy modular reduction
for (int i = GF_MAX; i < 512; i++) {
gf_exp[i] = gf_exp[i - GF_MAX];
}
// gf_log[0] is undefined, set to 0 for safety
gf_log[0] = 0;
}
// GF multiplication
static inline uint8_t gf_mul(uint8_t a, uint8_t b) {
if (a == 0 || b == 0) return 0;
return gf_exp[gf_log[a] + gf_log[b]];
}
// GF division
static inline uint8_t gf_div(uint8_t a, uint8_t b) {
if (a == 0) return 0;
if (b == 0) return 0; // Division by zero - shouldn't happen
return gf_exp[gf_log[a] + GF_MAX - gf_log[b]];
}
// GF power
static inline uint8_t gf_pow(uint8_t a, int n) {
if (n == 0) return 1;
if (a == 0) return 0;
return gf_exp[(gf_log[a] * n) % GF_MAX];
}
// GF inverse
static inline uint8_t gf_inv(uint8_t a) {
if (a == 0) return 0;
return gf_exp[GF_MAX - gf_log[a]];
}
// =============================================================================
// Generator Polynomial
// =============================================================================
// Build generator polynomial: g(x) = (x - alpha^0)(x - alpha^1)...(x - alpha^31)
static void init_generator(void) {
// Start with g(x) = 1
gf_generator[0] = 1;
for (int i = 1; i <= RS_PARITY_SIZE; i++) {
gf_generator[i] = 0;
}
// Multiply by (x - alpha^i) for i = 0 to 31
for (int i = 0; i < RS_PARITY_SIZE; i++) {
uint8_t alpha_i = gf_exp[i]; // alpha^i
// Multiply current polynomial by (x - alpha^i)
for (int j = RS_PARITY_SIZE; j > 0; j--) {
gf_generator[j] = gf_generator[j - 1] ^ gf_mul(gf_generator[j], alpha_i);
}
gf_generator[0] = gf_mul(gf_generator[0], alpha_i);
}
}
// =============================================================================
// Public API
// =============================================================================
void rs_init(void) {
if (rs_initialized) return;
init_gf_tables();
init_generator();
rs_initialized = 1;
}
size_t rs_encode(const uint8_t *data, size_t data_len, uint8_t *output) {
if (!rs_initialized) rs_init();
// Validate input
if (data_len > RS_DATA_SIZE) {
data_len = RS_DATA_SIZE;
}
// Copy data to output
memcpy(output, data, data_len);
// Initialize parity bytes to zero
memset(output + data_len, 0, RS_PARITY_SIZE);
// Create padded message polynomial (RS_DATA_SIZE + RS_PARITY_SIZE coefficients)
// Message is shifted to leave room for parity (systematic encoding)
uint8_t msg[RS_BLOCK_SIZE];
memset(msg, 0, sizeof(msg));
memcpy(msg, data, data_len);
// Polynomial division: compute remainder of msg(x) * x^32 / g(x)
uint8_t remainder[RS_PARITY_SIZE];
memset(remainder, 0, RS_PARITY_SIZE);
for (size_t i = 0; i < data_len; i++) {
uint8_t coef = msg[i] ^ remainder[0];
// Shift remainder
memmove(remainder, remainder + 1, RS_PARITY_SIZE - 1);
remainder[RS_PARITY_SIZE - 1] = 0;
// Subtract coef * g(x) from remainder
if (coef != 0) {
for (int j = 0; j < RS_PARITY_SIZE; j++) {
remainder[j] ^= gf_mul(gf_generator[RS_PARITY_SIZE - 1 - j], coef);
}
}
}
// Append parity to output
memcpy(output + data_len, remainder, RS_PARITY_SIZE);
return data_len + RS_PARITY_SIZE;
}
// =============================================================================
// Berlekamp-Massey Decoder
// =============================================================================
// Compute syndromes S_i = r(alpha^i) for i = 0..31
static void compute_syndromes(const uint8_t *r, size_t len, uint8_t *syndromes) {
for (int i = 0; i < RS_PARITY_SIZE; i++) {
syndromes[i] = 0;
for (size_t j = 0; j < len; j++) {
syndromes[i] ^= gf_mul(r[j], gf_pow(gf_exp[i], (int)(len - 1 - j)));
}
}
}
// Berlekamp-Massey algorithm to find error locator polynomial
static int berlekamp_massey(const uint8_t *syndromes, uint8_t *sigma, int *sigma_deg) {
uint8_t C[RS_PARITY_SIZE + 1]; // Connection polynomial
uint8_t B[RS_PARITY_SIZE + 1]; // Previous connection polynomial
int L = 0; // Current length of LFSR
int m = 1; // Number of steps since last update
uint8_t b = 1; // Previous discrepancy
// Initialize: C(x) = 1, B(x) = 1
memset(C, 0, sizeof(C));
memset(B, 0, sizeof(B));
C[0] = 1;
B[0] = 1;
for (int n = 0; n < RS_PARITY_SIZE; n++) {
// Compute discrepancy
uint8_t d = syndromes[n];
for (int i = 1; i <= L; i++) {
d ^= gf_mul(C[i], syndromes[n - i]);
}
if (d == 0) {
// No update needed
m++;
} else if (2 * L <= n) {
// Update both C and L
uint8_t T[RS_PARITY_SIZE + 1];
memcpy(T, C, sizeof(T));
uint8_t factor = gf_div(d, b);
for (int i = 0; i <= RS_PARITY_SIZE - m; i++) {
C[i + m] ^= gf_mul(factor, B[i]);
}
L = n + 1 - L;
memcpy(B, T, sizeof(B));
b = d;
m = 1;
} else {
// Only update C
uint8_t factor = gf_div(d, b);
for (int i = 0; i <= RS_PARITY_SIZE - m; i++) {
C[i + m] ^= gf_mul(factor, B[i]);
}
m++;
}
}
// Copy result
memcpy(sigma, C, RS_PARITY_SIZE + 1);
*sigma_deg = L;
return L;
}
// Chien search: find error positions (roots of sigma)
static int chien_search(const uint8_t *sigma, int sigma_deg, size_t n, uint8_t *positions, int *num_errors) {
*num_errors = 0;
// Evaluate sigma(alpha^(-i)) for i = 0 to n-1
for (size_t i = 0; i < n; i++) {
uint8_t eval = 0;
for (int j = 0; j <= sigma_deg; j++) {
// sigma(alpha^(-i)) = sum of sigma[j] * alpha^(-i*j)
int exp = (GF_MAX - (int)((i * j) % GF_MAX)) % GF_MAX;
eval ^= gf_mul(sigma[j], gf_exp[exp]);
}
if (eval == 0) {
// Found a root - error at position n-1-i
positions[*num_errors] = (uint8_t)(n - 1 - i);
(*num_errors)++;
}
}
// Check if we found the expected number of errors
return (*num_errors == sigma_deg) ? 0 : -1;
}
// Compute formal derivative of polynomial
static void poly_derivative(const uint8_t *poly, int deg, uint8_t *deriv) {
for (int i = 0; i < deg; i++) {
// Derivative of x^(i+1) is (i+1) * x^i
// In GF(2^m), coefficient is 1 if (i+1) is odd, 0 if even
deriv[i] = ((i + 1) & 1) ? poly[i + 1] : 0;
}
}
// Forney algorithm: compute error values
static void forney(const uint8_t *syndromes, const uint8_t *sigma, int sigma_deg,
const uint8_t *positions, int num_errors, size_t n, uint8_t *errors) {
// Compute error evaluator polynomial omega(x) = S(x) * sigma(x) mod x^2t
uint8_t omega[RS_PARITY_SIZE + 1];
memset(omega, 0, sizeof(omega));
for (int i = 0; i < RS_PARITY_SIZE; i++) {
for (int j = 0; j <= sigma_deg && i - j >= 0; j++) {
omega[i] ^= gf_mul(syndromes[i - j], sigma[j]);
}
}
// Compute formal derivative of sigma
uint8_t sigma_prime[RS_PARITY_SIZE];
poly_derivative(sigma, sigma_deg, sigma_prime);
// Compute error values using Forney formula
for (int i = 0; i < num_errors; i++) {
uint8_t pos = positions[i];
uint8_t Xi = gf_exp[n - 1 - pos]; // alpha^(n-1-pos)
uint8_t Xi_inv = gf_inv(Xi);
// Evaluate omega at Xi_inv
uint8_t omega_val = 0;
for (int j = 0; j < RS_PARITY_SIZE; j++) {
omega_val ^= gf_mul(omega[j], gf_pow(Xi_inv, j));
}
// Evaluate sigma' at Xi_inv
uint8_t sigma_prime_val = 0;
for (int j = 0; j < sigma_deg; j++) {
sigma_prime_val ^= gf_mul(sigma_prime[j], gf_pow(Xi_inv, j));
}
// Error value: e_i = Xi * omega(Xi_inv) / sigma'(Xi_inv)
errors[i] = gf_mul(Xi, gf_div(omega_val, sigma_prime_val));
}
}
int rs_decode(uint8_t *data, size_t data_len) {
if (!rs_initialized) rs_init();
size_t total_len = data_len + RS_PARITY_SIZE;
if (total_len > RS_BLOCK_SIZE) {
return -1;
}
// Compute syndromes
uint8_t syndromes[RS_PARITY_SIZE];
compute_syndromes(data, total_len, syndromes);
// Check if all syndromes are zero (no errors)
int has_errors = 0;
for (int i = 0; i < RS_PARITY_SIZE; i++) {
if (syndromes[i] != 0) {
has_errors = 1;
break;
}
}
if (!has_errors) {
return 0; // No errors
}
// Find error locator polynomial using Berlekamp-Massey
uint8_t sigma[RS_PARITY_SIZE + 1];
int sigma_deg;
int num_errors_expected = berlekamp_massey(syndromes, sigma, &sigma_deg);
if (num_errors_expected > RS_MAX_ERRORS) {
return -1; // Too many errors
}
// Find error positions using Chien search
uint8_t positions[RS_MAX_ERRORS];
int num_errors;
if (chien_search(sigma, sigma_deg, total_len, positions, &num_errors) != 0) {
return -1; // Inconsistent error count
}
// Compute error values using Forney algorithm
uint8_t error_values[RS_MAX_ERRORS];
forney(syndromes, sigma, sigma_deg, positions, num_errors, total_len, error_values);
// Apply corrections
for (int i = 0; i < num_errors; i++) {
if (positions[i] < total_len) {
data[positions[i]] ^= error_values[i];
}
}
return num_errors;
}
// =============================================================================
// Block-level operations
// =============================================================================
size_t rs_encode_blocks(const uint8_t *data, size_t data_len, uint8_t *output) {
if (!rs_initialized) rs_init();
size_t output_len = 0;
size_t remaining = data_len;
const uint8_t *src = data;
uint8_t *dst = output;
while (remaining > 0) {
size_t block_data = (remaining > RS_DATA_SIZE) ? RS_DATA_SIZE : remaining;
size_t encoded_len = rs_encode(src, block_data, dst);
// Pad to full block size for consistent block boundaries
if (encoded_len < RS_BLOCK_SIZE) {
memset(dst + encoded_len, 0, RS_BLOCK_SIZE - encoded_len);
}
src += block_data;
dst += RS_BLOCK_SIZE;
output_len += RS_BLOCK_SIZE;
remaining -= block_data;
}
return output_len;
}
int rs_decode_blocks(uint8_t *data, size_t total_len, uint8_t *output, size_t output_len) {
if (!rs_initialized) rs_init();
int total_errors = 0;
size_t remaining_output = output_len;
uint8_t *src = data;
uint8_t *dst = output;
while (total_len >= RS_BLOCK_SIZE && remaining_output > 0) {
// Always decode with full RS_DATA_SIZE since encoder pads to full blocks
// But only copy the bytes we actually need
size_t bytes_to_copy = (remaining_output > RS_DATA_SIZE) ? RS_DATA_SIZE : remaining_output;
// Decode block with full data size (modifies src in place)
int errors = rs_decode(src, RS_DATA_SIZE);
if (errors < 0) {
return -1; // Uncorrectable block
}
total_errors += errors;
// Copy only the bytes we need to output
memcpy(dst, src, bytes_to_copy);
src += RS_BLOCK_SIZE;
dst += bytes_to_copy;
total_len -= RS_BLOCK_SIZE;
remaining_output -= bytes_to_copy;
}
return total_errors;
}

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@@ -0,0 +1,82 @@
/**
* Reed-Solomon (255,223) Codec for TAV-DT
*
* Standard RS code over GF(2^8):
* - Block size: 255 bytes (223 data + 32 parity)
* - Error correction: up to 16 byte errors
* - Error detection: up to 32 byte errors
*
* Uses primitive polynomial: x^8 + x^4 + x^3 + x^2 + 1 (0x11D)
* Generator polynomial: g(x) = product of (x - alpha^i) for i = 0..31
*
* Created by CuriousTorvald and Claude on 2025-12-09.
*/
#ifndef REED_SOLOMON_H
#define REED_SOLOMON_H
#include <stdint.h>
#include <stddef.h>
// RS(255,223) parameters
#define RS_BLOCK_SIZE 255 // Total codeword size
#define RS_DATA_SIZE 223 // Data bytes per block
#define RS_PARITY_SIZE 32 // Parity bytes per block (2t = 32, t = 16)
#define RS_MAX_ERRORS 16 // Maximum correctable errors (t)
/**
* Initialize Reed-Solomon codec.
* Must be called once before using encode/decode functions.
* Thread-safe: uses static initialization.
*/
void rs_init(void);
/**
* Encode data block with Reed-Solomon parity.
*
* @param data Input data (up to RS_DATA_SIZE bytes)
* @param data_len Length of input data (1 to RS_DATA_SIZE)
* @param output Output buffer (must hold data_len + RS_PARITY_SIZE bytes)
* Format: [data][parity]
* @return Total output length (data_len + RS_PARITY_SIZE)
*
* Note: For data shorter than RS_DATA_SIZE, the encoder pads with zeros
* internally but only outputs actual data + parity.
*/
size_t rs_encode(const uint8_t *data, size_t data_len, uint8_t *output);
/**
* Decode and correct Reed-Solomon encoded block.
*
* @param data Buffer containing [data][parity] (modified in-place)
* @param data_len Length of data portion (1 to RS_DATA_SIZE)
* @return Number of errors corrected (0-16), or -1 if uncorrectable
*
* On success, data buffer contains corrected data (parity may also be corrected).
* On failure, data buffer contents are undefined.
*/
int rs_decode(uint8_t *data, size_t data_len);
/**
* Encode data with automatic block splitting.
* For data larger than RS_DATA_SIZE, splits into multiple RS blocks.
*
* @param data Input data
* @param data_len Length of input data
* @param output Output buffer (must hold ceil(data_len/223) * 255 bytes)
* @return Total output length
*/
size_t rs_encode_blocks(const uint8_t *data, size_t data_len, uint8_t *output);
/**
* Decode data with automatic block splitting.
*
* @param data Buffer containing RS-encoded blocks (modified in-place)
* @param total_len Total length of encoded data (multiple of RS_BLOCK_SIZE)
* @param output Output buffer for decoded data
* @param output_len Expected length of decoded data
* @return Total errors corrected across all blocks, or -1 if any block failed
*/
int rs_decode_blocks(uint8_t *data, size_t total_len, uint8_t *output, size_t output_len);
#endif // REED_SOLOMON_H

View File

@@ -1024,7 +1024,7 @@ static void apply_inverse_3d_dwt(float **gop_y, float **gop_co, float **gop_cg,
for (int level = temporal_levels - 1; level >= 0; level--) {
const int level_frames = temporal_lengths[level];
if (level_frames >= 2) {
if (temporal_wavelet == 0) {
if (temporal_wavelet == 255) {
dwt_haar_inverse_1d(temporal_line, level_frames);
} else {
dwt_53_inverse_1d(temporal_line, level_frames);
@@ -1042,7 +1042,7 @@ static void apply_inverse_3d_dwt(float **gop_y, float **gop_co, float **gop_cg,
for (int level = temporal_levels - 1; level >= 0; level--) {
const int level_frames = temporal_lengths[level];
if (level_frames >= 2) {
if (temporal_wavelet == 0) {
if (temporal_wavelet == 255) {
dwt_haar_inverse_1d(temporal_line, level_frames);
} else {
dwt_53_inverse_1d(temporal_line, level_frames);
@@ -1060,7 +1060,7 @@ static void apply_inverse_3d_dwt(float **gop_y, float **gop_co, float **gop_cg,
for (int level = temporal_levels - 1; level >= 0; level--) {
const int level_frames = temporal_lengths[level];
if (level_frames >= 2) {
if (temporal_wavelet == 0) {
if (temporal_wavelet == 255) {
dwt_haar_inverse_1d(temporal_line, level_frames);
} else {
dwt_53_inverse_1d(temporal_line, level_frames);