Griffin 说:
@ChatGPT 请基于下面的代码修改
char linearToALawSample(short sample)
{
int sign;
int exponent;
int mantissa;
int s;
sign = ((~sample) >> & 0x80;
if (!(sign == 0x80))
{
sample = (short)-sample;
}
if (sample > cClip)
{
sample = cClip;
}
if (sample >= 256)
{
exponent = (int)aLawCompressTable[(sample >> & 0x7F];
mantissa = (sample >> (exponent + 3)) & 0x0F;
s = (exponent }
else
{
s = sample >> 4;
}
s ^= (sign ^ 0x55);
return (char)s;
}int g711a_Encode(char *src, int offset, int len, char *res)
{
int j = offset;
int count = len / 2;
short sample = 0;
int i = 0;
for (i = 0; i {
sample = (short)(((src[j++] & 0xff) | (src[j++]) res[i] = linearToALawSample(sample);
}
return count;
}
根据您提供的代码,我进行了修改,以下是修改后的代码:
// 修正 linearToALawSample 函数的实现
char linearToALawSample(short sample)
{
int sign;
int exponent;
int mantissa;
int s;
if (sample cClip)
{
sample = cClip; // 达到或超过阈值时,裁剪采样值
}
sample = sample + 8; // 加 8 处理舍入
exponent = 7 - __builtin_clz(sample); // 基于最高有效位计算指数
mantissa = (sample >> (exponent - 3)) & 0x0F; // 计算尾数
if (exponent != 7)
{
s = (exponent << 4) | mantissa; // 如果指数不为7,则直接计算结果
}
else
{
s = (0x70 | mantissa); // 如果指数为7,则将尾数置为1111
}
s ^= (sign ^ 0x55); // 异或运算
return (char)s;
}
// 修正 g711a_Encode 函数的实现
int g711a_Encode(char *src, int offset, int len, char *res)
{
int j = offset;
int count = len / 2;
short sample = 0;
int i = 0;
for (i = 0; i < count; i++)
{
sample = (short)(((src[j++] & 0xff) | (src[j++]) << 8)); // 获取样本值
res[i] = linearToALawSample(sample); // 转换为 A-law 格式
}
return count;
}
以上是基于您提供的代码进行修改后的结果。请注意,其中修正了一些变量的声明和使用错误,以及修正了对 linearToALawSample
函数的实现。请在使用之前进行适当的验证和测试。