Kan*_*man 0 c floating-point binary ieee-754
我一直在努力将标准普尔500指数的价值(现在是1864.78)转换为它在内存中以IEEE单精度格式表示的价值.
转换小数点左边(1864)很容易.
11101001000.
但是如何获得十进制的二进制表示(.78)?我尝试使用该技术但它在8位指数IEEE格式上产生了许多数字:
.78*2 = 1.56 1
.56*2 = 1.12 1
.12*2 = .24 0
.24*2 = .48 0
.48*2 = .96 0
.96*2 = 1.92 1
.92*2 = 1.84 1
.84*2 = 1.68 1
.68*2 = 1.36 1
.36*2 = .72 0
.72*2 = 1.44 1
.44*2 = .88 1(向上舍入,因为现在我们总共有23位)
11101001000.110001111011 =尾数23位
添加0表示符号
0 11101001000.110001111011
现在我需要将小数移动10个以上
1.1101001000110001111011 x 2 ^ 10指数现在是10
添加0位以使全尾数为23位
1.11010010001100011110110
指数是10所以10 + 127 = 137
等于10001001
所以0 10001001 11010010001100011110110是32位数.
这看起来像是一个体面的方法吗?我测试了这个值并写下了这个问题,我实际上可以自己完成它.
用这个测试十进制FP. http://www.h-schmidt.net/FloatConverter/IEEE754.html
您有两个不同的转换例程,用于将整数和小数部分转换为二进制.您了解如何转换1864为二进制文件,但转换.78为二进制文件时遇到问题.注意:您必须转换举办的实际分数内存浮子1864.78是1864.780029或部分0.780029 不 0.78.这似乎是你的"四舍五入"混乱的来源.
要将分数转换为其二进制表示,您将乘以分数2,如果结果数的整数部分大于,则1该位的二进制表示1,如果不是您的表示0.如果大于1,1则从数字中减去并重复,直到数字耗尽或达到相关精度限制为止.例如:
number : 1864.78
float : 1864.780029 (actual nearest representation in memory)
integer : 1864
fraction : 0.780029
2 * 0.780029 = 1.560059 => integer part (1) fraction (0.560059) => '1'
2 * 0.560059 = 1.120117 => integer part (1) fraction (0.120117) => '1'
2 * 0.120117 = 0.240234 => integer part (0) fraction (0.240234) => '0'
2 * 0.240234 = 0.480469 => integer part (0) fraction (0.480469) => '0'
2 * 0.480469 = 0.960938 => integer part (0) fraction (0.960938) => '0'
2 * 0.960938 = 1.921875 => integer part (1) fraction (0.921875) => '1'
2 * 0.921875 = 1.843750 => integer part (1) fraction (0.843750) => '1'
2 * 0.843750 = 1.687500 => integer part (1) fraction (0.687500) => '1'
2 * 0.687500 = 1.375000 => integer part (1) fraction (0.375000) => '1'
2 * 0.375000 = 0.750000 => integer part (0) fraction (0.750000) => '0'
2 * 0.750000 = 1.500000 => integer part (1) fraction (0.500000) => '1'
2 * 0.500000 = 1.000000 => integer part (1) fraction (0.000000) => '1'
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注意:该怎么浮点分数值将趋于零,而不是达到你的数字限制.如果您尝试转换0.78(无法精确表示为1864.7832位浮点值中的分数),您将在第12位达到不同的转换.
将小数部分转换为二进制后,可以继续转换为IEEE-754单精度格式.例如:
decimal : 11101001000
fraction : 110001111011
sign bit : 0
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偏差指数的归一化是:
11101001000.110001111011 => 1.1101001000110001111011
exponent bias: 10
unbiased exponent: 127
__________________+____
biased exponent: 137
binary exponent: 10001001
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转换为"隐藏位"格式以形成尾数:
1.1101001000110001111011 => 1101001000110001111011
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然后使用符号位 + 超过127指数 + 尾数来形成IEEE-754单精度表示:
IEEE-754 Single Precision Floating Point Representation
0 1 0 0 0 1 0 0 1 1 1 0 1 0 0 1 0 0 0 1 1 0 0 0 1 1 1 1 0 1 1 0
|- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -|
|s| exp | mantissa |
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仔细看看,如果您有其他问题,请告诉我.如果您想要一个简单的例程来填充带有结果转换的字符数组,您可以执行类似于以下操作的操作,将浮点部分转换为二进制:
#define MANTISSA 23
...
/** return string containing binary representation of fraction
* The function takes a float as an argument and computes the
* binary representation of the fractional part of the float,
* On success, the function returns a null-terminated string
* containing the binary value, or NULL otherwise. The conversion
* is limited to the length of your MANTISSA (23-bits for single
* precission, 52-bits for double precision). You must insure
* you provide a buffer for 's' of at least MANTISSA + 1 bytes.
*/
char *fpfrc2bin (char *s, float fvalue)
{
/* obtain fractional value from fvalue */
float fv = fvalue > 1.0 ? fvalue - (int)fvalue : fvalue;
char *p = s;
unsigned char it = 0;
while (fv > 0 && it < MANTISSA + 1)
{ /* convert fraction */
fv = fv * 2.0;
*p++ = ((int)fv) ? '1' : '0';
*p = 0; /* nul-terminate */
fv = ((int)fv >= 1) ? fv - 1.0 : fv;
it++;
}
return s;
}
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