converting gain_analysis.c to UTF-8

git-svn-id: http://svn.code.sf.net/p/qmmp-dev/code/trunk/qmmp@3717 90c681e8-e032-0410-971d-27865f9a5e38

1 files changed, 9 insertions, 9 deletions

diff --git a/src/plugins/General/rgscan/gain_analysis.c b/src/plugins/General/rgscan/gain_analysis.c
index e6e4e4066..76b8102dc 100644
--- a/src/plugins/General/rgscan/gain_analysis.c
+++ b/src/plugins/General/rgscan/gain_analysis.c
@@ -1,7 +1,7 @@
 /*
  *  ReplayGainAnalysis - analyzes input samples and give the recommended dB change
  *  Copyright (C) 2001-2009 David Robinson and Glen Sawyer
- *  Improvements and optimizations added by Frank Klemm, and by Marcel Müller 
+ *  Improvements and optimizations added by Frank Klemm, and by Marcel Müller
  *
  *  This library is free software; you can redistribute it and/or
  *  modify it under the terms of the GNU Lesser General Public
@@ -145,9 +145,9 @@ static Uint32_t  B [(size_t)(STEPS_per_dB * MAX_dB)];
 #endif
 
 static const Float_t ABYule[12][2*YULE_ORDER + 1] = {
-	{0.006471345933032, -7.22103125152679, -0.02567678242161,  24.7034187975904,   0.049805860704367, -52.6825833623896,  -0.05823001743528,  77.4825736677539,   0.040611847441914, -82.0074753444205,  -0.010912036887501, 63.1566097101925,  -0.00901635868667,  -34.889569769245,    0.012448886238123, 13.2126852760198,  -0.007206683749426, -3.09445623301669,  0.002167156433951, 0.340344741393305, -0.000261819276949},
-	{0.015415414474287, -7.19001570087017, -0.07691359399407,  24.4109412087159,   0.196677418516518, -51.6306373580801,  -0.338855114128061, 75.3978476863163,   0.430094579594561, -79.4164552507386,  -0.415015413747894, 61.0373661948115,   0.304942508151101, -33.7446462547014,  -0.166191795926663, 12.8168791146274,   0.063198189938739, -3.01332198541437, -0.015003978694525, 0.223619893831468,  0.001748085184539},
-	{0.021776466467053, -5.74819833657784, -0.062376961003801, 16.246507961894,    0.107731165328514, -29.9691822642542,  -0.150994515142316, 40.027597579378,    0.170334807313632, -40.3209196052655,  -0.157984942890531, 30.8542077487718,   0.121639833268721, -17.5965138737281,  -0.074094040816409,  7.10690214103873,  0.031282852041061, -1.82175564515191, -0.00755421235941,  0.223619893831468,  0.00117925454213 },
+    {0.006471345933032, -7.22103125152679, -0.02567678242161,  24.7034187975904,   0.049805860704367, -52.6825833623896,  -0.05823001743528,  77.4825736677539,   0.040611847441914, -82.0074753444205,  -0.010912036887501, 63.1566097101925,  -0.00901635868667,  -34.889569769245,    0.012448886238123, 13.2126852760198,  -0.007206683749426, -3.09445623301669,  0.002167156433951, 0.340344741393305, -0.000261819276949},
+    {0.015415414474287, -7.19001570087017, -0.07691359399407,  24.4109412087159,   0.196677418516518, -51.6306373580801,  -0.338855114128061, 75.3978476863163,   0.430094579594561, -79.4164552507386,  -0.415015413747894, 61.0373661948115,   0.304942508151101, -33.7446462547014,  -0.166191795926663, 12.8168791146274,   0.063198189938739, -3.01332198541437, -0.015003978694525, 0.223619893831468,  0.001748085184539},
+    {0.021776466467053, -5.74819833657784, -0.062376961003801, 16.246507961894,    0.107731165328514, -29.9691822642542,  -0.150994515142316, 40.027597579378,    0.170334807313632, -40.3209196052655,  -0.157984942890531, 30.8542077487718,   0.121639833268721, -17.5965138737281,  -0.074094040816409,  7.10690214103873,  0.031282852041061, -1.82175564515191, -0.00755421235941,  0.223619893831468,  0.00117925454213 },
     {0.03857599435200,  -3.84664617118067, -0.02160367184185,   7.81501653005538, -0.00123395316851,  -11.34170355132042, -0.00009291677959,  13.05504219327545, -0.01655260341619,  -12.28759895145294,  0.02161526843274,   9.48293806319790, -0.02074045215285,   -5.87257861775999,  0.00594298065125,   2.75465861874613,  0.00306428023191,  -0.86984376593551,  0.00012025322027,  0.13919314567432,   0.00288463683916 },
     {0.05418656406430,  -3.47845948550071, -0.02911007808948,   6.36317777566148, -0.00848709379851,   -8.54751527471874, -0.00851165645469,   9.47693607801280, -0.00834990904936,   -8.81498681370155,  0.02245293253339,   6.85401540936998, -0.02596338512915,   -4.39470996079559,  0.01624864962975,   2.19611684890774, -0.00240879051584,  -0.75104302451432,  0.00674613682247,  0.13149317958808,  -0.00187763777362 },
     {0.15457299681924,  -2.37898834973084, -0.09331049056315,   2.84868151156327, -0.06247880153653,   -2.64577170229825,  0.02163541888798,   2.23697657451713, -0.05588393329856,   -1.67148153367602,  0.04781476674921,   1.00595954808547,  0.00222312597743,   -0.45953458054983,  0.03174092540049,   0.16378164858596, -0.01390589421898,  -0.05032077717131,  0.00651420667831,  0.02347897407020,  -0.00881362733839 },
@@ -160,9 +160,9 @@ static const Float_t ABYule[12][2*YULE_ORDER + 1] = {
 };
 
 static const Float_t ABButter[12][2*BUTTER_ORDER + 1] = {
-	{0.99308203517541, -1.98611621154089, -1.98616407035082,  0.986211929160751, 0.99308203517541 },
-	{0.992472550461293,-1.98488843762334, -1.98494510092258,  0.979389350028798, 0.992472550461293},
-	{0.989641019334721,-1.97917472731008, -1.97928203866944,  0.979389350028798, 0.989641019334721},
+    {0.99308203517541, -1.98611621154089, -1.98616407035082,  0.986211929160751, 0.99308203517541 },
+    {0.992472550461293,-1.98488843762334, -1.98494510092258,  0.979389350028798, 0.992472550461293},
+    {0.989641019334721,-1.97917472731008, -1.97928203866944,  0.979389350028798, 0.989641019334721},
     {0.98621192462708, -1.97223372919527, -1.97242384925416,  0.97261396931306,  0.98621192462708 },
     {0.98500175787242, -1.96977855582618, -1.97000351574484,  0.97022847566350,  0.98500175787242 },
     {0.97938932735214, -1.95835380975398, -1.95877865470428,  0.95920349965459,  0.97938932735214 },
@@ -220,10 +220,10 @@ filterYule (const Float_t* input, Float_t* output, size_t nSamples, const Float_
 
 static void
 filterButter (const Float_t* input, Float_t* output, size_t nSamples, const Float_t* kernel)
-{   
+{
 
     while (nSamples--) {
-        *output =  
+        *output =
            input [0]  * kernel[0]
          - output[-1] * kernel[1]
          + input [-1] * kernel[2]