介绍了一种新的基于泰勒展式的量化与反量化硬件实现方法。该方法可广泛应用于多种音频的编解码系统,如MP3,AAC等。通过优化的方法,不仅能减少量化与反量化中数据存储区的大小,增加系数的准确性,还能减少计算系数时所需的运算量。与已有算法相比,在浮点运算下,新方法的性能得到显著提升。同时,给出了定点运算结果。实际测试结果表明,新方法有效提升了系统性能。该方法的算法还可用于伽玛校正。 A new method based on Taylor expansion for quantitative and inverse quantization hardware is introduced. The method can be widely used in a variety of audio coding and decoding systems, such as MP3, AAC and so on. The optimized approach not only reduces the size of the data storage area in quantization and dequantization, increases the accuracy of the coefficients, but also reduces the amount of computation required to calculate the coefficients. Compared with the existing algorithms, the performance of the new method has been significantly improved under floating-point arithmetic. At the same time, the result of fixed point operation is given. The actual test results show that the new method effectively improves the system performance. The algorithm of this method can also be used for gamma correction.