/dports/science/afni/afni-AFNI_21.3.16/src/ |
H A D | model_linear.c | 29 float * ts_array /* estimated noise model time series */ 96 float * ts_array /* estimated noise model time series */ in noise_model() argument 109 case 3: ts_array[2] = g1*x_array[2][1] + g0 ; /* fall thru */ in noise_model() 110 case 2: ts_array[1] = g1*x_array[1][1] + g0 ; /* fall thru */ in noise_model() 111 case 1: ts_array[0] = g1*x_array[0][1] + g0 ; break ; in noise_model() 114 ts_array[it ] = g1*x_array[it ][1] + g0 ; in noise_model() 115 ts_array[it+1] = g1*x_array[it+1][1] + g0 ; in noise_model() 116 ts_array[it+2] = g1*x_array[it+2][1] + g0 ; in noise_model() 117 ts_array[it+3] = g1*x_array[it+3][1] + g0 ; in noise_model() 125 ts_array[it] = fval; in noise_model()
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H A D | model_sinewave_apf.c | 27 float * ts_array /* estimated signal model time series */ 97 float * ts_array /* estimated signal model time series */ in signal_model() argument 117 ts_array[it] = fval; in signal_model() 121 case 3: ts_array[2] = g0*sinf(g2*x_array[2][1]+g1) ; /* fall thru */ in signal_model() 122 case 2: ts_array[1] = g0*sinf(g2*x_array[1][1]+g1) ; /* fall thru */ in signal_model() 123 case 1: ts_array[0] = g0*sinf(g2*x_array[0][1]+g1) ; break ; in signal_model() 126 ts_array[it ] = g0*sinf(g2*x_array[it ][1]+g1) ; in signal_model() 127 ts_array[it+1] = g0*sinf(g2*x_array[it+1][1]+g1) ; in signal_model() 128 ts_array[it+2] = g0*sinf(g2*x_array[it+2][1]+g1) ; in signal_model() 129 ts_array[it+3] = g0*sinf(g2*x_array[it+3][1]+g1) ; in signal_model()
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H A D | model_linplusort.c | 29 float * ts_array /* estimated noise model time series */ 95 float * ts_array /* estimated noise model time series */ in noise_model() argument 107 case 3: ts_array[2] = g1*x_array[2][1] + g0 + g2*x_array[2][2]; /* fall thru */ in noise_model() 108 case 2: ts_array[1] = g1*x_array[1][1] + g0 + g2*x_array[1][2]; /* fall thru */ in noise_model() 109 case 1: ts_array[0] = g1*x_array[0][1] + g0 + g2*x_array[0][2]; break ; in noise_model() 112 ts_array[it ] = g1*x_array[it ][1] + g0 + g2*x_array[it ][2]; in noise_model() 113 ts_array[it+1] = g1*x_array[it+1][1] + g0 + g2*x_array[it+1][2]; in noise_model() 114 ts_array[it+2] = g1*x_array[it+2][1] + g0 + g2*x_array[it+2][2]; in noise_model() 115 ts_array[it+3] = g1*x_array[it+3][1] + g0 + g2*x_array[it+3][2]; in noise_model()
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H A D | model_conv_cosine4.c | 62 float ** x_array , float * ts_array ); 130 float ** x_array , float * ts_array ) in conv_model() argument 162 for( ii=0 ; ii < ts_length ; ii++ ) ts_array[ii] = 0.0 ; in conv_model() 186 ts_array[kk+jj] += val * fid[jj]; in conv_model() 312 float * ts_array, /* estimated signal model time series */ in signal_model() argument 349 if( t < 0 || t > T05 ) { ts_array[it] = 0.0; continue; } in signal_model() 355 if ( t < T02 ) ts_array[it] = F(H1, 0.0, 0.0, M1, C1, t); in signal_model() 356 else if( t < T03 ) ts_array[it] = F(H2, PI, T02, M2, C1, t); in signal_model() 357 else if( t < T04 ) ts_array[it] = F(H3, 0.0, T03, M3, C2, t); in signal_model() 358 else /* t <= T05 */ ts_array[it] = F(H4, PI, T04, M4, C2, t); in signal_model() [all …]
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H A D | model_conv_PRF_DOG.c | 108 float * ts_array, /* estimated signal model time series */ in signal_model() argument 154 memset(ts_array, 0, maxind*sizeof(float)); in signal_model() 160 get_signal_from_grid(ts_array, maxind, g_saset, x, y, sigma, A, debug); in signal_model() 163 get_signal_computed(ts_array, maxind, g_saset, x, y, sigma, A, debug); in signal_model() 169 ts_array[ind] -= ts2[ind]; in signal_model() 172 disp_floats("+d signal model result : ", ts_array, ts_length); in signal_model()
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H A D | model_convgamma.c | 101 float ** x_array , float * ts_array ) in conv_model() argument 115 for( ii=0 ; ii < ts_length ; ii++ ) ts_array[ii] = 0.0 ; in conv_model() 151 ts_array[kk+jj] += val * fid[jj] ; in conv_model() 223 float * ts_array /* estimated signal model time series */ in gamma_model() argument 232 for( it=0 ; it < ts_length ; it++ ) ts_array[it] = 0.0 ; in gamma_model() 242 ts_array[it] = (t <= 0.0) ? 0.0 in gamma_model()
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H A D | model_convgamma2a.c | 117 float ** x_array , float * ts_array ) in conv_model() argument 131 for( ii=0 ; ii < ts_length ; ii++ ) ts_array[ii] = 0.0 ; in conv_model() 182 ts_array[kk+jj] += val * fid[jj] ; in conv_model() 262 float * ts_array /* estimated signal model time series */ in gamma_model() argument 271 ts_array[0] = 1.0 ; in gamma_model() 272 for( it=1 ; it < ts_length ; it++ ) ts_array[it] = 0.0 ; in gamma_model() 282 ts_array[it] = (t <= 0.0) ? 0.0 in gamma_model()
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H A D | model_conv_diffgamma.c | 29 float ** x_array , float * ts_array ); 98 float ** x_array , float * ts_array ) in conv_model() argument 133 for( ii=0 ; ii < ts_length ; ii++ ) ts_array[ii] = 0.0 ; in conv_model() 168 ts_array[kk+jj] += val * ( fid0[jj] - fid1[jj] ) ; in conv_model() 171 if( cur_debug ) disp_floats("+d conv : ", ts_array, ts_length); in conv_model() 290 float * ts_array, /* estimated signal model time series */ in gamma_model() argument 302 for( it=0 ; it < ts_length ; it++ ) ts_array[it] = 0.0 ; in gamma_model() 314 ts_array[it] = (t <= 0.0) ? 0.0 in gamma_model()
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H A D | simplex.c | 144 float * ts_array /* observed time series */ in initialize_simplex() argument 287 float * ts_array /* observed time series */ in restart() argument 539 float * ts_array, /* observed time series */ in simplex_optimization() argument 582 ts_length, x_array, ts_array); in simplex_optimization() 601 ts_length, x_array, ts_array); in simplex_optimization() 615 ts_length, x_array, ts_array); in simplex_optimization() 642 ts_length, x_array, ts_array); in simplex_optimization() 654 ts_length, x_array, ts_array); in simplex_optimization() 671 ts_length, x_array, ts_array); in simplex_optimization() 798 float * ts_array, /* observed time series */ in newuoa_optimization() argument [all …]
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H A D | model_null.c | 27 float * ts_array /* estimated signal model time series */ 83 float * ts_array /* estimated signal model time series */ in signal_model() argument 91 ts_array[it] = 0.0; in signal_model()
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H A D | model_zero.c | 29 float * ts_array /* estimated noise model time series */ 85 float * ts_array /* estimated noise model time series */ in noise_model() argument 93 ts_array[it] = 0.0; in noise_model()
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H A D | model_conv_PRF.c | 96 float * ts_array, /* estimated signal model time series */ in signal_model() argument 136 get_signal_from_grid(ts_array, maxind, g_saset, x, y, sigma, A, debug); in signal_model() 138 get_signal_computed(ts_array, maxind, g_saset, x, y, sigma, A, debug); in signal_model() 141 disp_floats("+d signal model result : ", ts_array, ts_length); in signal_model()
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H A D | model_constant.c | 29 float * ts_array /* estimated noise model time series */ 92 float * ts_array /* estimated noise model time series */ in noise_model() argument 100 for (it = 0; it < ts_length; it++) ts_array[it] = fval ; in noise_model()
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H A D | NLfit.c | 640 float * ts_array /* observed time series */ in calc_sse() argument 677 diff = ts_array[i] - y_array[i] ; in calc_sse() 678 d2 = ts_array[i+1] - y_array[i+1]; in calc_sse() 679 d3 = ts_array[i+2] - y_array[i+2]; in calc_sse() 680 d4 = ts_array[i+3] - y_array[i+3]; in calc_sse() 688 diff = ts_array[i] - y_array[i]; in calc_sse() 719 float * ts_array, /* observed time series */ in random_search() argument 798 ts_length, x_array, ts_array); in random_search() 882 float * ts_array, /* observed time series */ in calc_full_model() argument 1505 float * ts_array , /* data time series */ in LR_full_model() argument [all …]
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H A D | model_diffusion.c | 27 float * ts_array /* estimated signal model time series */ 94 float * ts_array /* estimated signal model time series */ in signal_model() argument 107 ts_array[it] = fval; in signal_model()
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H A D | model_exp.c | 26 float * ts_array /* estimated signal model time series */ 93 float * ts_array /* estimated signal model time series */ in signal_model() argument 106 ts_array[it] = fval; in signal_model()
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H A D | model_sinewave_ap.c | 27 float * ts_array /* estimated signal model time series */ 94 float * ts_array /* estimated signal model time series */ in signal_model() argument 113 ts_array[it] = fval; in signal_model()
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H A D | model_quadratic.c | 29 float * ts_array /* estimated noise model time series */ 99 float * ts_array /* estimated noise model time series */ in noise_model() argument 112 ts_array[it] = fval; in noise_model()
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H A D | model_squarewave_ap.c | 27 float * ts_array /* estimated signal model time series */ 93 float * ts_array /* estimated signal model time series */ in signal_model() argument 112 ts_array[it] = fval; in signal_model()
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H A D | model_squarewave_apf.c | 27 float * ts_array /* estimated signal model time series */ 97 float * ts_array /* estimated signal model time series */ in signal_model() argument 115 ts_array[it] = fval; in signal_model()
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H A D | model_trnglwave_ap.c | 27 float * ts_array /* estimated signal model time series */ 93 float * ts_array /* estimated signal model time series */ in signal_model() argument 117 ts_array[it] = fval; in signal_model()
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H A D | model_diffexp.c | 27 float * ts_array /* estimated signal model time series */ 100 float * ts_array /* estimated signal model time series */ in signal_model() argument 116 ts_array[it] = fval; in signal_model()
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H A D | model_trnglwave_apf.c | 27 float * ts_array /* estimated signal model time series */ 97 float * ts_array /* estimated signal model time series */ in signal_model() argument 120 ts_array[it] = fval; in signal_model()
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H A D | model_gammavar.c | 32 float * ts_array /* estimated signal model time series */ 106 float * ts_array /* estimated signal model time series */ in signal_model() argument 122 ts_array[it] = fval; in signal_model()
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/dports/multimedia/l-smash/l-smash-2.14.5/cli/ |
H A D | boxdumper.c | 167 lsmash_media_ts_t *ts_array = ts_list.timestamp; in main() local 168 if( !ts_array ) in main() 174 …fprintf( stdout, "DTS = %"PRIu64", CTS = %"PRIu64"\n", ts_array[i].dts, ts_array[i].cts + timeline… in main() 175 lsmash_free( ts_array ); in main()
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