上海交大硕士毕业论文《基于最小熵谱估计的

高频重建算法研究》：本论文提出了一种基于最小熵谱估计的高频重建算法（论文中简称为（MEHFR），该算法利用最小熵准则对信号谱进行外推，从而重建出音频信号的高频分量，论文同时对提出的MEHFR算法作了改进和性能分析，并给出了MEHFR成功应用于目前主流音频编解码器——MP3的一个实例-This thesis puts forward an algorithm of high frequency reconstruction based on minimum entropy spectral estimation (called MEHFR in this thesis). MEHFR spreads the spectrum in the principle of minimum entropy and reconstructs the high frequency of audio signals　also this thesis improves MEHFR and shows the analyses of performance　at last applies MEHFR to ME3 which is the most popular codec of audio.