Huffman coding

基本解釋

The wavelet decomposition, SOFM and Huffman coding are used to solve the problem of how to compress the photo of ID holder (about 6K bytes) into 600 bytes.
其中采用小波分解、自組織特征影射神經(jīng)元網(wǎng)絡(luò)、哈夫曼編碼等方法，將持證人照片的數(shù)據(jù)量（約6K左右）壓縮到600字節(jié)左右；
Generally, the storage of Huffman coding and the way of creating Huffman tree, which not only influence the coding efficiency, but also do not fully make use of the storage space.
一般情況下，哈夫曼編碼所采用的存儲結(jié)構(gòu)及構(gòu)樹方法，不僅影響編碼效率，而且也沒充分利用存儲空間。
The analysis result shows the new coding algorithm with the excellence of which based algorithms, it's efficiency is higher than the Huffman coding and much simpler for realize than Run-length Coding.
分析結(jié)果表明，該圖像編碼方式具有兩種編碼方式的優(yōu)點，其編碼效率高于游程長度編碼，實現(xiàn)遠比哈夫曼編碼簡單。

哈夫曼編碼
The article describes method of data compression with static Huffman coding. The hardware configuration figure is given.
給出靜態(tài)哈夫曼編碼的數(shù)據(jù)壓縮方法以及主要的硬件構(gòu)成框圖。
huffman編碼
霍夫曼編碼
霍夫曼編碼法
赫夫曼編碼

哈夫曼編碼
Secondly, introduces MP3 audio compress standard including subband filter bank, psychoacoustic model, adaptive window switch over, Huffman coding, bit reservior, etc.
其次,介紹了MP3音頻壓縮標準所使用的子帶編碼、心里聲學模型、自適應(yīng)窗口切換、哈夫曼編碼、比特池等關(guān)鍵技術(shù)。
huffman編碼
霍夫曼編碼
lzw編碼