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 本文简要介绍了有限域基本运算的算法和常用的rs编码算法,详细分析了改进后的euclid算法和改进后的bm算法,针对改进后的bm算法提出了一种流水线结构的译码器实现方案并改进了该算法的实现结构,在译码器复杂度和译码延时上作了折衷,降低了译码器的复杂度并提高了译码器的最高工作频率。
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 本文在对sar图像数据的信息特征进行了详细阐述的基础上,利用小波理论分析近年来比较流行嵌入式压缩编码方法,来研究适用于sar图像的压缩方法,取得以下研究成果: ( 1 )考虑到sar图像的动态范围比较大,而且sar图像斑点噪声模型大部分是乘性噪声,先对其进行对数变换,既可以缩小数据的动态范围,也可以把乘性噪声转变成加性噪声模型。