本論文以Embedded Zero-tree Wavelet Packet (EZWP) 作為樂音壓縮系統，其以小波封包(Wavelet Packet)分頻方式，結合人耳聲學模型與零樹編碼。利用每個音框開始的前幾次掃描係數當作重要部分，最後一次掃描的更精細值當作不重要部分。基本的想法是將音框資料的重要部分，隱藏於其他音框不重要的部分，並發展區塊資料隱藏法，以降低資料隱藏對於壓縮音質的影響。當封包發生遺失時，可以在解碼端萃取隱藏資料，回復遺失封包的樂音波形。利用EZW 漸進式編碼的特性，非常適合用於資料隱藏，應用於遺失封包恢復技術並不會增加傳輸位元率，並相容位元流語法，且不會嚴重降低原始之音訊封包品質。實驗結果顯示在封包遺失率達到 8% 的情況下，平均有效提升約1.2dB SSNR值; 客觀的聽覺測試的結果，亦可證明論文提出的方法能有效改善封包遺失所造成的影響。

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