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blogTitle:'CRC算法原理及C语言实现',
blogAbstract:'CRC原理介绍: &CRC的英文全称为Cyclic&Redundancy&Check（Code），中文名称为循环冗余校验（码）。它是一类重要的线性分组码，编码和解码方法简单，检错和纠错能力强，在通信领域广泛地用于实现差错控制。&& &&&&&CRC计算与普通的除法计算有所不同。普通的除法计算是借位相减的，而CRC计算则是异或运算。任何一个除法运算都需要选取一个除数，在CRC运算中我们称之为poly，而宽度W就是poly最高位的位置。比如poly&1001的W是3，而不是4。注意最高位总是1，当你选定一个宽度，那么你只需要选择低W各位的值。假如我们想计算一个位串的CRC码，并要保证每一位都要被处理，因此我们需要在目标位串后面加上W个0。下面举例说明CRC算法的过程。 ',
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定制HR最喜欢的简历
你可能喜欢16进制数A8H用有符号数表示是多少?&
0xa8 写成2进制是：有符号数 -- 你要明确规定 是 几位有符号数?第几位是符号?才能回答.如果是 16位,0xA8 是 十进制 正的 168如果是 8位,最高位是符号位,则是 负 数.十进制 -40 （深入学习：计算机内负数用补码表示.,原码到补码 转换用.）你的教材还处于 86 年代,很老了.
那8位数呢？
那新教材说的是啥？
那A8H表示成有符号数咋是-88
如果是 8位，最高位是符号位，则是 负 数。十进制 -40 0xa8
写成2进制是：
去掉符号位
16进制 0x28,
十进制 40, 加符号 十进制 -40 那A8H表示成有符号数咋是-88
-- 不知道是什么编码，几进制。
A8H-67H=-88-103=-191
课件上是这么写的。
是有符号运算
可能是课件出错了
补码 0xFFFFFFA8
-88 等于 16 进制 -0x58原码 为
-- 最高位是符号位，其中 101 是 5， 1000 是 8不计符号位 的 原码的反码
是 010 0111反码加1
-- 这是 不计 符号位 时的 补码添上 符号位 时的 补码
是 写成16 进制
-- 完整的补码--------------看不懂的话，请好好学习 “计算机内 负数的原码，反码，补码”这里不可能给你开课。
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其他类似问题
扫描下载二维码Object C 中nsdata图片数据转换成Java字节
Object C 中nsdata图片数据转换成Java字节
[摘要：NSDATA转换的图片为 16进造编码，将每段16进造编码解码成字节便可 String imgData = ffd8ffe0 01
ffe66 2a2 00 00001 0]
NSDATA转换的图片为 16进制编码，将每段16进制编码解码成字节即可
String imgData = &ffd8ffe0 01
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80128a5f c68a5 bd145 2d0c500 18e68a28 a80528e b49f852d 0004514b f9d450 148051 cd2d252d a602d 2d377a8e ac07e349 e6c60f32 28fc6900 fa503e95 09b9847f cb45a3ed 708fe3cf d57fb6 45fed1ff 00809a6f db57a849 0fe1fb 613f7617 fcc52fda 663d20fc cd005ba5 e2a9f997 47a44a3f 3a5ff4c6 e9b07e14 016e96aa 797767ac a07d051f 669cfdeb 87fc2a80 b9dbad26 47b7e755 7ec44fde 9a43ff00 02a5fb04 7eac7f1a 2c228f6a 5ce29a0f ad2d373 4b9cd311 56f7ac63 dead8e95 4eef074 aee238c f6e3b55c ed557639 bb0c57e5 fa28 a2c01cd1 bda68 a4a5a601 a3eb49 a5e40 0b48c d6ad1 600ed450 0e28a002 8a4cd2e6 800ab947 71f9d003 a96a3f36 31fc6bf9 d27da615 ce664ffb e9bdb5 0399e3ff 00be8534 ea1683fe 5e13f034 a95a7f cf607e80 d27f695b 16f14 554fed08 bb24a7e9 19a3edc3 b02dd0 3deaa7db 5cf4b59f fef9a3ed 539e202 dd2d53f3 ee8f4b52 3eac28f3 2f4f4b75 1ff03a00 b7cd28aa 7baf88ff 005718ff ef10fc e802e74a 2aa8fc 0d1e45d1 eb3afe0b d55fb2c e7adc1ff 00be68fb 1b9eb70c 7fd451b 97b9155b ec3eb349 fa51f614 eef21fc6 802c279 d18fe315 10b28bd5 cffc0a94 5943dd49 fc4dfef 527da62c 75a3ec90 0fe0a516 d08ff966 bf95301b f6b8bde9 0de47e86 a510c43a 46bff ca802bfd b57b2e7f 1a3ed87b 466ad051 ea9f699 0f48cfe4 68f3a73d 23fd2add dd1fe1c 7e14bfe9 47bff2ab 98a47 f8c8fca9 7ecf39eb 29ff00be aadd2d03 2a7da 5fb1fab5 5aa5a2c1 72a8b14e e7f4a70b 38c7bd59 b58c76a 788231fc 218c7 fe11f95 28aa5 e940a502 800ac05a
bd3401da 8afffd9&; String[] data = imgData.split(& &);
FileOutputS try {
fos = new FileOutputStream(&d:/test.jpg&);
for(String hexStr : data){
byte[] bytes = Hex.decode(hexStr);
fos.write(bytes, 0, bytes.length);
fos.flush();
fos.close(); } catch (IOException e) {
e.printStackTrace(); } finally{ }
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