Algorithm-FEC/fec_imp.h

/*
 * fec.c -- forward error correction based on Vandermonde matrices
 * 980624
 * (C) 1997-98 Luigi Rizzo (luigi@iet.unipi.it)
 *
 * Portions derived from code by Phil Karn (karn@ka9q.ampr.org),
 * Robert Morelos-Zaragoza (robert@spectra.eng.hawaii.edu) and Hari
 * Thirumoorthy (harit@spectra.eng.hawaii.edu), Aug 1995
 * modified by Marc Lehmann <fec@schmorp.de>, Sep 2003.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions
 * are met:
 *
 * 1. Redistributions of source code must retain the above copyright
 *    notice, this list of conditions and the following disclaimer.
 * 2. Redistributions in binary form must reproduce the above
 *    copyright notice, this list of conditions and the following
 *    disclaimer in the documentation and/or other materials
 *    provided with the distribution.
 *
 * THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND
 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
 * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
 * PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHORS
 * BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
 * OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
 * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA,
 * OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
 * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR
 * TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT
 * OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY
 * OF SUCH DAMAGE.
 */

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <stdint.h>

#define MSDOS /* LEAVE THIS IN PLACE EVEN ON UNIX! */

/*
 * compatibility stuff
 */
#ifdef MSDOS    /* but also for others, e.g. sun... */
#define NEED_BCOPY
#define bcmp(a,b,n) memcmp(a,b,n)
#endif

#ifdef NEED_BCOPY
#define bcopy(s, d, siz)        memcpy((d), (s), (siz))
#define bzero(d, siz)   memset((d), '\0', (siz))
#endif

/*
 * stuff used for testing purposes only
 */

#ifdef  TEST
#define DEB(x)
#define DDB(x) x
#define DEBUG   0       /* minimal debugging */

#ifdef  MSDOS
#include <time.h>
struct timeval {
    unsigned long ticks;
};
#define gettimeofday(x, dummy) { (x)->ticks = clock() ; }
#define DIFF_T(a,b) (1+ 1000000*(a.ticks - b.ticks) / CLOCKS_PER_SEC )
typedef unsigned long u_long ;
typedef unsigned short u_short ;
#else /* typically, unix systems */
#include <sys/time.h>
#define DIFF_T(a,b) \
        (1+ 1000000*(a.tv_sec - b.tv_sec) + (a.tv_usec - b.tv_usec) )
#endif

#define TICK(t) \
        {struct timeval x ; \
        gettimeofday(&x, NULL) ; \
        t = x.tv_usec + 1000000* (x.tv_sec & 0xff ) ; \
        }
#define TOCK(t) \
        { u_long t1 ; TICK(t1) ; \
          if (t1 < t) t = 256000000 + t1 - t ; \
          else t = t1 - t ; \
          if (t == 0) t = 1 ;}
        
u_long ticks[10];       /* vars for timekeeping */
#else
#define DEB(x)
#define DDB(x)
#define TICK(x)
#define TOCK(x)
#endif /* TEST */

/*
 * You should not need to change anything beyond this point.
 * The first part of the file implements linear algebra in GF.
 *
 * gf is the type used to store an element of the Galois Field.
 * Must constain at least GF_BITS bits.
 *
 * Note: unsigned char will work up to GF(256) but int seems to run
 * faster on the Pentium. We use int whenever have to deal with an
 * index, since they are generally faster.
 */
#if (GF_BITS < 2  && GF_BITS >16)
#error "GF_BITS must be 2 .. 16"
#endif
#if (GF_BITS <= 8)
typedef uint8_t gf;
#else
typedef uint16_t gf;
#endif

#define GF_SIZE ((1 << GF_BITS) - 1)    /* powers of \alpha */

/*
 * Primitive polynomials - see Lin & Costello, Appendix A,
 * and  Lee & Messerschmitt, p. 453.
 */
static char *allPp[] = {    /* GF_BITS  polynomial              */
    NULL,                   /*  0       no code                 */
    NULL,                   /*  1       no code                 */
    "111",                  /*  2       1+x+x^2                 */
    "1101",                 /*  3       1+x+x^3                 */
    "11001",                /*  4       1+x+x^4                 */
    "101001",               /*  5       1+x^2+x^5               */
    "1100001",              /*  6       1+x+x^6                 */
    "10010001",             /*  7       1 + x^3 + x^7           */
    "101110001",            /*  8       1+x^2+x^3+x^4+x^8       */
    "1000100001",           /*  9       1+x^4+x^9               */
    "10010000001",          /* 10       1+x^3+x^10              */
    "101000000001",         /* 11       1+x^2+x^11              */
    "1100101000001",        /* 12       1+x+x^4+x^6+x^12        */
    "11011000000001",       /* 13       1+x+x^3+x^4+x^13        */
    "110000100010001",      /* 14       1+x+x^6+x^10+x^14       */
    "1100000000000001",     /* 15       1+x+x^15                */
    "11010000000010001"     /* 16       1+x+x^3+x^12+x^16       */
};


/*
 * To speed up computations, we have tables for logarithm, exponent
 * and inverse of a number. If GF_BITS <= 8, we use a table for
 * multiplication as well (it takes 64K, no big deal even on a PDA,
 * especially because it can be pre-initialized an put into a ROM!),
 * otherwhise we use a table of logarithms.
 * In any case the macro gf_mul(x,y) takes care of multiplications.
 */

static gf gf_exp[2*GF_SIZE];    /* index->poly form conversion table    */
static int gf_log[GF_SIZE + 1]; /* Poly->index form conversion table    */
static gf inverse[GF_SIZE+1];   /* inverse of field elem.               */
                                /* inv[\alpha**i]=\alpha**(GF_SIZE-i-1) */

/*
 * modnn(x) computes x % GF_SIZE, where GF_SIZE is 2**GF_BITS - 1,
 * without a slow divide.
 */
static inline gf
modnn(int x)
{
    while (x >= GF_SIZE) {
        x -= GF_SIZE;
        x = (x >> GF_BITS) + (x & GF_SIZE);
    }
    return x;
}

#define SWAP(a,b,t) {t tmp; tmp=a; a=b; b=tmp;}

/*
 * gf_mul(x,y) multiplies two numbers. If GF_BITS<=8, it is much
 * faster to use a multiplication table.
 *
 * USE_GF_MULC, GF_MULC0(c) and GF_ADDMULC(x) can be used when multiplying
 * many numbers by the same constant. In this case the first
 * call sets the constant, and others perform the multiplications.
 * A value related to the multiplication is held in a local variable
 * declared with USE_GF_MULC . See usage in addmul1().
 */
#if (GF_BITS <= 8)
static gf gf_mul_table[GF_SIZE + 1][GF_SIZE + 1];

#define gf_mul(x,y) gf_mul_table[x][y]

#define USE_GF_MULC register gf * __gf_mulc_
#define GF_MULC0(c) __gf_mulc_ = gf_mul_table[c]
#define GF_ADDMULC(dst, x) dst ^= __gf_mulc_[x]

static void
init_mul_table()
{
    int i, j;
    for (i=0; i< GF_SIZE+1; i++)
        for (j=0; j< GF_SIZE+1; j++)
            gf_mul_table[i][j] = gf_exp[modnn(gf_log[i] + gf_log[j]) ] ;

    for (j=0; j< GF_SIZE+1; j++)
            gf_mul_table[0][j] = gf_mul_table[j][0] = 0;
}
#else   /* GF_BITS > 8 */
static inline gf
gf_mul(x,y)
{
    if ( (x) == 0 || (y)==0 ) return 0;
     
    return gf_exp[gf_log[x] + gf_log[y] ] ;
}
#define init_mul_table()

#define USE_GF_MULC register gf * __gf_mulc_
#define GF_MULC0(c) __gf_mulc_ = &gf_exp[ gf_log[c] ]
#define GF_ADDMULC(dst, x) { if (x) dst ^= __gf_mulc_[ gf_log[x] ] ; }
#endif

/*
 * Generate GF(2**m) from the irreducible polynomial p(X) in p[0]..p[m]
 * Lookup tables:
 *     index->polynomial form           gf_exp[] contains j= \alpha^i;
 *     polynomial form -> index form    gf_log[ j = \alpha^i ] = i
 * \alpha=x is the primitive element of GF(2^m)
 *
 * For efficiency, gf_exp[] has size 2*GF_SIZE, so that a simple
 * multiplication of two numbers can be resolved without calling modnn
 */

/*
 * i use malloc so many times, it is easier to put checks all in
 * one place.
 */
static void *
my_malloc(int sz, char *err_string)
{
    void *p = malloc( sz );
    if (p == NULL) {
        fprintf(stderr, "-- malloc failure allocating %s\n", err_string);
        exit(1) ;
    }
    return p ;
}

#define NEW_GF_MATRIX(rows, cols) \
    (gf *)my_malloc(rows * cols * sizeof(gf), " ## __LINE__ ## " )

/*
 * initialize the data structures used for computations in GF.
 */
static void
generate_gf(void)
{
    int i;
    gf mask;
    char *Pp =  allPp[GF_BITS] ;

    mask = 1;   /* x ** 0 = 1 */
    gf_exp[GF_BITS] = 0; /* will be updated at the end of the 1st loop */
    /*
     * first, generate the (polynomial representation of) powers of \alpha,
     * which are stored in gf_exp[i] = \alpha ** i .
     * At the same time build gf_log[gf_exp[i]] = i .
     * The first GF_BITS powers are simply bits shifted to the left.
     */
    for (i = 0; i < GF_BITS; i++, mask <<= 1 ) {
        gf_exp[i] = mask;
        gf_log[gf_exp[i]] = i;
        /*
         * If Pp[i] == 1 then \alpha ** i occurs in poly-repr
         * gf_exp[GF_BITS] = \alpha ** GF_BITS
         */
        if ( Pp[i] == '1' )
            gf_exp[GF_BITS] ^= mask;
    }
    /*
     * now gf_exp[GF_BITS] = \alpha ** GF_BITS is complete, so can als
     * compute its inverse.
     */
    gf_log[gf_exp[GF_BITS]] = GF_BITS;
    /*
     * Poly-repr of \alpha ** (i+1) is given by poly-repr of
     * \alpha ** i shifted left one-bit and accounting for any
     * \alpha ** GF_BITS term that may occur when poly-repr of
     * \alpha ** i is shifted.
     */
    mask = 1 << (GF_BITS - 1 ) ;
    for (i = GF_BITS + 1; i < GF_SIZE; i++) {
        if (gf_exp[i - 1] >= mask)
            gf_exp[i] = gf_exp[GF_BITS] ^ ((gf_exp[i - 1] ^ mask) << 1);
        else
            gf_exp[i] = gf_exp[i - 1] << 1;
        gf_log[gf_exp[i]] = i;
    }
    /*
     * log(0) is not defined, so use a special value
     */
    gf_log[0] = GF_SIZE ;
    /* set the extended gf_exp values for fast multiply */
    for (i = 0 ; i < GF_SIZE ; i++)
        gf_exp[i + GF_SIZE] = gf_exp[i] ;

    /*
     * again special cases. 0 has no inverse. This used to
     * be initialized to GF_SIZE, but it should make no difference
     * since noone is supposed to read from here.
     */
    inverse[0] = 0 ;
    inverse[1] = 1;
    for (i=2; i<=GF_SIZE; i++)
        inverse[i] = gf_exp[GF_SIZE-gf_log[i]];
}

/*
 * Various linear algebra operations that i use often.
 */

/*
 * addmul() computes dst[] = dst[] + c * src[]
 * This is used often, so better optimize it! Currently the loop is
 * unrolled 16 times, a good value for 486 and pentium-class machines.
 * The case c=0 is also optimized, whereas c=1 is not. These
 * calls are unfrequent in my typical apps so I did not bother.
 * 
 * Note that gcc on
 */
#define addmul(dst, src, c, sz) \
    if (c != 0) addmul1(dst, src, c, sz)

#define UNROLL 16 /* 1, 4, 8, 16 */
static void
addmul1(gf *dst1, gf *src1, gf c, int sz)
{
    USE_GF_MULC ;
    register gf *dst = dst1, *src = src1 ;
    gf *lim = &dst[sz - UNROLL + 1] ;

    GF_MULC0(c) ;

#if (UNROLL > 1) /* unrolling by 8/16 is quite effective on the pentium */
    for (; dst < lim ; dst += UNROLL, src += UNROLL ) {
        GF_ADDMULC( dst[0] , src[0] );
        GF_ADDMULC( dst[1] , src[1] );
        GF_ADDMULC( dst[2] , src[2] );
        GF_ADDMULC( dst[3] , src[3] );
#if (UNROLL > 4)
        GF_ADDMULC( dst[4] , src[4] );
        GF_ADDMULC( dst[5] , src[5] );
        GF_ADDMULC( dst[6] , src[6] );
        GF_ADDMULC( dst[7] , src[7] );
#endif
#if (UNROLL > 8)
        GF_ADDMULC( dst[8] , src[8] );
        GF_ADDMULC( dst[9] , src[9] );
        GF_ADDMULC( dst[10] , src[10] );
        GF_ADDMULC( dst[11] , src[11] );
        GF_ADDMULC( dst[12] , src[12] );
        GF_ADDMULC( dst[13] , src[13] );
        GF_ADDMULC( dst[14] , src[14] );
        GF_ADDMULC( dst[15] , src[15] );
#endif
    }
#endif
    lim += UNROLL - 1 ;
    for (; dst < lim; dst++, src++ )            /* final components */
        GF_ADDMULC( *dst , *src );
}

/*
 * computes C = AB where A is n*k, B is k*m, C is n*m
 */
static void
matmul(gf *a, gf *b, gf *c, int n, int k, int m)
{
    int row, col, i ;

    for (row = 0; row < n ; row++) {
        for (col = 0; col < m ; col++) {
            gf *pa = &a[ row * k ];
            gf *pb = &b[ col ];
            gf acc = 0 ;
            for (i = 0; i < k ; i++, pa++, pb += m )
                acc ^= gf_mul( *pa, *pb ) ;
            c[ row * m + col ] = acc ;
        }
    }
}

#ifdef DEBUG
/*
 * returns 1 if the square matrix is identiy
 * (only for test)
 */
static int
is_identity(gf *m, int k)
{
    int row, col ;
    for (row=0; row<k; row++)
        for (col=0; col<k; col++)
            if ( (row==col && *m != 1) ||
                 (row!=col && *m != 0) )
                 return 0 ;
            else
                m++ ;
    return 1 ;
}
#endif /* debug */

/*
 * invert_mat() takes a matrix and produces its inverse
 * k is the size of the matrix.
 * (Gauss-Jordan, adapted from Numerical Recipes in C)
 * Return non-zero if singular.
 */
DEB( int pivloops=0; int pivswaps=0 ; /* diagnostic */)
static int
invert_mat(gf *src, int k)
{
    gf c, *p ;
    int irow, icol, row, col, i, ix ;

    int error = 1 ;
    int *indxc = my_malloc(k*sizeof(int), "indxc");
    int *indxr = my_malloc(k*sizeof(int), "indxr");
    int *ipiv = my_malloc(k*sizeof(int), "ipiv");
    gf *id_row = NEW_GF_MATRIX(1, k);
    gf *temp_row = NEW_GF_MATRIX(1, k);

    bzero(id_row, k*sizeof(gf));
    DEB( pivloops=0; pivswaps=0 ; /* diagnostic */ )
    /*
     * ipiv marks elements already used as pivots.
     */
    for (i = 0; i < k ; i++)
        ipiv[i] = 0 ;

    for (col = 0; col < k ; col++) {
        gf *pivot_row ;
        /*
         * Zeroing column 'col', look for a non-zero element.
         * First try on the diagonal, if it fails, look elsewhere.
         */
        irow = icol = -1 ;
        if (ipiv[col] != 1 && src[col*k + col] != 0) {
            irow = col ;
            icol = col ;
            goto found_piv ;
        }
        for (row = 0 ; row < k ; row++) {
            if (ipiv[row] != 1) {
                for (ix = 0 ; ix < k ; ix++) {
                    DEB( pivloops++ ; )
                    if (ipiv[ix] == 0) {
                        if (src[row*k + ix] != 0) {
                            irow = row ;
                            icol = ix ;
                            goto found_piv ;
                        }
                    } else if (ipiv[ix] > 1) {
                        fprintf(stderr, "singular matrix\n");
                        goto fail ; 
                    }
                }
            }
        }
        if (icol == -1) {
            fprintf(stderr, "XXX pivot not found!\n");
            goto fail ;
        }
found_piv:
        ++(ipiv[icol]) ;
        /*
         * swap rows irow and icol, so afterwards the diagonal
         * element will be correct. Rarely done, not worth
         * optimizing.
         */
        if (irow != icol) {
            for (ix = 0 ; ix < k ; ix++ ) {
                SWAP( src[irow*k + ix], src[icol*k + ix], gf) ;
            }
        }
        indxr[col] = irow ;
        indxc[col] = icol ;
        pivot_row = &src[icol*k] ;
        c = pivot_row[icol] ;
        if (c == 0) {
            fprintf(stderr, "singular matrix 2\n");
            goto fail ;
        }
        if (c != 1 ) { /* otherwhise this is a NOP */
            /*
             * this is done often , but optimizing is not so
             * fruitful, at least in the obvious ways (unrolling)
             */
            DEB( pivswaps++ ; )
            c = inverse[ c ] ;
            pivot_row[icol] = 1 ;
            for (ix = 0 ; ix < k ; ix++ )
                pivot_row[ix] = gf_mul(c, pivot_row[ix] );
        }
        /*
         * from all rows, remove multiples of the selected row
         * to zero the relevant entry (in fact, the entry is not zero
         * because we know it must be zero).
         * (Here, if we know that the pivot_row is the identity,
         * we can optimize the addmul).
         */
        id_row[icol] = 1;
        if (bcmp(pivot_row, id_row, k*sizeof(gf)) != 0) {
            for (p = src, ix = 0 ; ix < k ; ix++, p += k ) {
                if (ix != icol) {
                    c = p[icol] ;
                    p[icol] = 0 ;
                    addmul(p, pivot_row, c, k );
                }
            }
        }
        id_row[icol] = 0;
    } /* done all columns */
    for (col = k-1 ; col >= 0 ; col-- ) {
        if (indxr[col] <0 || indxr[col] >= k)
            fprintf(stderr, "AARGH, indxr[col] %d\n", indxr[col]);
        else if (indxc[col] <0 || indxc[col] >= k)
            fprintf(stderr, "AARGH, indxc[col] %d\n", indxc[col]);
        else
        if (indxr[col] != indxc[col] ) {
            for (row = 0 ; row < k ; row++ ) {
                SWAP( src[row*k + indxr[col]], src[row*k + indxc[col]], gf) ;
            }
        }
    }
    error = 0 ;
fail:
    free(indxc);
    free(indxr);
    free(ipiv);
    free(id_row);
    free(temp_row);
    return error ;
}

/*
 * fast code for inverting a vandermonde matrix.
 * XXX NOTE: It assumes that the matrix
 * is not singular and _IS_ a vandermonde matrix. Only uses
 * the second column of the matrix, containing the p_i's.
 *
 * Algorithm borrowed from "Numerical recipes in C" -- sec.2.8, but
 * largely revised for my purposes.
 * p = coefficients of the matrix (p_i)
 * q = values of the polynomial (known)
 */

static int
invert_vdm(gf *src, int k)
{
    int i, j, row, col ;
    gf *b, *c, *p;
    gf t, xx ;

    if (k == 1)         /* degenerate case, matrix must be p^0 = 1 */
        return 0 ;
    /*
     * c holds the coefficient of P(x) = Prod (x - p_i), i=0..k-1
     * b holds the coefficient for the matrix inversion
     */
    c = NEW_GF_MATRIX(1, k);
    b = NEW_GF_MATRIX(1, k);

    p = NEW_GF_MATRIX(1, k);
   
    for ( j=1, i = 0 ; i < k ; i++, j+=k ) {
        c[i] = 0 ;
        p[i] = src[j] ;    /* p[i] */
    }
    /*
     * construct coeffs. recursively. We know c[k] = 1 (implicit)
     * and start P_0 = x - p_0, then at each stage multiply by
     * x - p_i generating P_i = x P_{i-1} - p_i P_{i-1}
     * After k steps we are done.
     */
    c[k-1] = p[0] ;     /* really -p(0), but x = -x in GF(2^m) */
    for (i = 1 ; i < k ; i++ ) {
        gf p_i = p[i] ; /* see above comment */
        for (j = k-1  - ( i - 1 ) ; j < k-1 ; j++ )
            c[j] ^= gf_mul( p_i, c[j+1] ) ;
        c[k-1] ^= p_i ;
    }

    for (row = 0 ; row < k ; row++ ) {
        /*
         * synthetic division etc.
         */
        xx = p[row] ;
        t = 1 ;
        b[k-1] = 1 ; /* this is in fact c[k] */
        for (i = k-2 ; i >= 0 ; i-- ) {
            b[i] = c[i+1] ^ gf_mul(xx, b[i+1]) ;
            t = gf_mul(xx, t) ^ b[i] ;
        }
        for (col = 0 ; col < k ; col++ )
            src[col*k + row] = gf_mul(inverse[t], b[col] );
    }
    free(c) ;
    free(b) ;
    free(p) ;
    return 0 ;
}

static int fec_initialized = 0 ;

static void init_fec()
{
    TICK(ticks[0]);
    generate_gf();
    TOCK(ticks[0]);
    DDB(fprintf(stderr, "generate_gf took %ldus\n", ticks[0]);)
    TICK(ticks[0]);
    init_mul_table();
    TOCK(ticks[0]);
    DDB(fprintf(stderr, "init_mul_table took %ldus\n", ticks[0]);)
    fec_initialized = 1 ;
}

/*
 * This section contains the proper FEC encoding/decoding routines.
 * The encoding matrix is computed starting with a Vandermonde matrix,
 * and then transforming it into a systematic matrix.
 */

struct fec_parms {
    int k, n ;          /* parameters of the code */
    gf *enc_matrix ;
} ;

void
fec_free(struct fec_parms *p)
{
    if (p==NULL) {
        fprintf(stderr, "bad parameters to fec_free\n");
        return ;
    }
    free(p->enc_matrix);
    free(p);
}

/*
 * create a new encoder, returning a descriptor. This contains k,n and
 * the encoding matrix.
 */
struct fec_parms *
fec_new(int k, int n)
{
    int row, col ;
    gf *p, *tmp_m ;

    struct fec_parms *retval ;

    if (fec_initialized == 0)
        init_fec();

    if (k > GF_SIZE + 1 || n > GF_SIZE + 1 || k > n ) {
        fprintf(stderr, "Invalid parameters k %d n %d GF_SIZE %d\n",
                k, n, GF_SIZE );
        return NULL ;
    }
    retval = my_malloc(sizeof(struct fec_parms), "new_code");
    retval->k = k ;
    retval->n = n ;
    retval->enc_matrix = NEW_GF_MATRIX(n, k);
    tmp_m = NEW_GF_MATRIX(n, k);
    /*
     * fill the matrix with powers of field elements, starting from 0.
     * The first row is special, cannot be computed with exp. table.
     */
    tmp_m[0] = 1 ;
    for (col = 1; col < k ; col++)
        tmp_m[col] = 0 ;
    for (p = tmp_m + k, row = 0; row < n-1 ; row++, p += k) {
        for ( col = 0 ; col < k ; col ++ )
            p[col] = gf_exp[modnn(row*col)];
    }

    /*
     * quick code to build systematic matrix: invert the top
     * k*k vandermonde matrix, multiply right the bottom n-k rows
     * by the inverse, and construct the identity matrix at the top.
     */
    TICK(ticks[3]);
    invert_vdm(tmp_m, k); /* much faster than invert_mat */
    matmul(tmp_m + k*k, tmp_m, retval->enc_matrix + k*k, n - k, k, k);
    /*
     * the upper matrix is I so do not bother with a slow multiply
     */
    bzero(retval->enc_matrix, k*k*sizeof(gf) );
    for (p = retval->enc_matrix, col = 0 ; col < k ; col++, p += k+1 )
        *p = 1 ;
    free(tmp_m);
    TOCK(ticks[3]);

    DDB(fprintf(stderr, "--- %ld us to build encoding matrix\n",
            ticks[3]);)
    DEB(pr_matrix(retval->enc_matrix, n, k, "encoding_matrix");)
    return retval ;
}

/*
 * fec_encode accepts as input pointers to n data packets of size sz,
 * and produces as output a packet pointed to by fec, computed
 * with index "index".
 */
void
fec_encode(struct fec_parms *code, gf *src[], gf *fec, int index, int sz)
{
    int i, k = code->k ;
    gf *p ;

    if (GF_BITS > 8)
        sz /= 2 ;

    if (index < k)
         bcopy(src[index], fec, sz*sizeof(gf) ) ;
    else if (index < code->n) {
        p = &(code->enc_matrix[index*k] );
        bzero(fec, sz*sizeof(gf));
        for (i = 0; i < k ; i++)
            addmul(fec, src[i], p[i], sz ) ;
    } else
        fprintf(stderr, "Invalid index %d (max %d)\n",
            index, code->n - 1 );
}

/*
 * shuffle move src packets in their position
 */
static int
shuffle(gf *pkt[], int index[], int k)
{
    int i;

    for ( i = 0 ; i < k ; ) {
        if (index[i] >= k || index[i] == i)
            i++ ;
        else {
            /*
             * put pkt in the right position (first check for conflicts).
             */
            int c = index[i] ;

            if (index[c] == c) {
                DEB(fprintf(stderr, "\nshuffle, error at %d\n", i);)
                return 1 ;
            }
            SWAP(index[i], index[c], int) ;
            SWAP(pkt[i], pkt[c], gf *) ;
        }
    }
    DEB( /* just test that it works... */
    for ( i = 0 ; i < k ; i++ ) {
        if (index[i] < k && index[i] != i) {
            fprintf(stderr, "shuffle: after\n");
            for (i=0; i<k ; i++) fprintf(stderr, "%3d ", index[i]);
            fprintf(stderr, "\n");
            return 1 ;
        }
    }
    )
    return 0 ;
}

/*
 * build_decode_matrix constructs the encoding matrix given the
 * indexes. The matrix must be already allocated as
 * a vector of k*k elements, in row-major order
 */
static gf *
build_decode_matrix(struct fec_parms *code, gf *pkt[], int index[])
{
    int i , k = code->k ;
    gf *p, *matrix = NEW_GF_MATRIX(k, k);

    TICK(ticks[9]);
    for (i = 0, p = matrix ; i < k ; i++, p += k ) {
#if 1 /* this is simply an optimization, not very useful indeed */
        if (index[i] < k) {
            bzero(p, k*sizeof(gf) );
            p[i] = 1 ;
        } else
#endif
        if (index[i] < code->n )
            bcopy( &(code->enc_matrix[index[i]*k]), p, k*sizeof(gf) ); 
        else {
            fprintf(stderr, "decode: invalid index %d (max %d)\n",
                index[i], code->n - 1 );
            free(matrix) ;
            return NULL ;
        }
    }
    TICK(ticks[9]);
    if (invert_mat(matrix, k)) {
        free(matrix);
        matrix = NULL ;
    }
    TOCK(ticks[9]);
    return matrix ;
}

/*
 * fec_decode receives as input a vector of packets, the indexes of
 * packets, and produces the correct vector as output.
 *
 * Input:
 *      code: pointer to code descriptor
 *      pkt:  pointers to received packets. They are modified
 *            to store the output packets (in place)
 *      index: pointer to packet indexes (modified)
 *      sz:    size of each packet
 */
int
fec_decode(struct fec_parms *code, gf *pkt[], int index[], int sz)
{
    gf *m_dec ; 
    gf **new_pkt ;
    int row, col , k = code->k ;

    if (GF_BITS > 8)
        sz /= 2 ;

    if (shuffle(pkt, index, k)) /* error if true */
        return 1 ;
    m_dec = build_decode_matrix(code, pkt, index);

    if (m_dec == NULL)
        return 1 ; /* error */
    /*
     * do the actual decoding
     */
    new_pkt = my_malloc (k * sizeof (gf * ), "new pkt pointers" );
    for (row = 0 ; row < k ; row++ ) {
        if (index[row] >= k) {
            new_pkt[row] = my_malloc (sz * sizeof (gf), "new pkt buffer" );
            bzero(new_pkt[row], sz * sizeof(gf) ) ;
            for (col = 0 ; col < k ; col++ )
                addmul(new_pkt[row], pkt[col], m_dec[row*k + col], sz) ;
        }
    }
    /*
     * move pkts to their final destination
     */
    for (row = 0 ; row < k ; row++ ) {
        if (index[row] >= k) {
            bcopy(new_pkt[row], pkt[row], sz*sizeof(gf));
            free(new_pkt[row]);
            index[row] = row;
        }
    }
    free(new_pkt);
    free(m_dec);

    return 0;
}

/*********** end of FEC code -- beginning of test code ************/

#if (TEST || DEBUG)
void
test_gf()
{
    int i ;
    /*
     * test gf tables. Sufficiently tested...
     */
    for (i=0; i<= GF_SIZE; i++) {
        if (gf_exp[gf_log[i]] != i)
            fprintf(stderr, "bad exp/log i %d log %d exp(log) %d\n",
                i, gf_log[i], gf_exp[gf_log[i]]);

        if (i != 0 && gf_mul(i, inverse[i]) != 1)
            fprintf(stderr, "bad mul/inv i %d inv %d i*inv(i) %d\n",
                i, inverse[i], gf_mul(i, inverse[i]) );
        if (gf_mul(0,i) != 0)
            fprintf(stderr, "bad mul table 0,%d\n",i);
        if (gf_mul(i,0) != 0)
            fprintf(stderr, "bad mul table %d,0\n",i);
    }
}
#endif /* TEST */
Revision:	1.3
Committed:	Tue Sep 9 23:21:54 2003 UTC (22 years, 6 months ago) by root
Content type:	text/plain
Branch:	MAIN
CVS Tags:	rel-1_1, rel-1_0, HEAD
Changes since 1.2:	+1 -6 lines
Log Message:	* empty log message *