In this paper , the common used encoding algorithms and basic finite - field opera - tions algorithms are introduced , and the decoding algorithms such as inverse - free ber - lekamp - massey ( ibm ) algorithm , reformulated inverse - free berlekamp - massey ( ribm ) algorithm and modified euclidean algorithm are analyzed in great detail . based on the ribm algorithm , a modified structure and a pipelined decoder scheme are presented . a tradeoff has been made between the hardware complexities and decoding latency , thus this scheme gains significant improvement in hardware complexity and maximum fre - quency 本文簡要介紹了有限域基本運算的算法和常用的rs編碼算法,詳細分析了改進后的euclid算法和改進后的bm算法,針對改進后的bm算法提出了一種流水線結構的譯碼器實現方案并改進了該算法的實現結構,在譯碼器復雜度和譯碼延時上作了折衷,降低了譯碼器的復雜度并提高了譯碼器的最高工作頻率。
Wavelet transform also has time - frequency orienting ability and realize the abruption of the balanced and unbalanced component in images . this paper , based on particularly expatiating information characters in sar image data , will investigate compression algorithm applying for sar images by analyzing embedded encoding algorithms using wavelet theory . using several standards to evaluate our method and spiht algorithm , it is clear that our method outgoes spiht algorithm 本文在對sar圖像數據的信息特征進行了詳細闡述的基礎上,利用小波理論分析近年來比較流行嵌入式壓縮編碼方法,來研究適用于sar圖像的壓縮方法,取得以下研究成果: ( 1 )考慮到sar圖像的動態范圍比較大,而且sar圖像斑點噪聲模型大部分是乘性噪聲,先對其進行對數變換,既可以縮小數據的動態范圍,也可以把乘性噪聲轉變成加性噪聲模型。