LZ77 代码matlab

LZ77是一种常用的无损数据压缩算法，它通过利用重复出现的数据来实现压缩。下面是一个简单的LZ77算法的Matlab代码示例：

function compressedData = lz77_compress(inputData, windowSize, bufferSize)
    compressedData = [];
    i = 1;
    while i <= length(inputData)
        matchLength = 0;
        matchIndex = 0;
        for j = max(1, i - windowSize):i-1
            k = 1;
            while k <= bufferSize && i + k - 1 <= length(inputData) && inputData(i + k - 1) == inputData(j + k - 1)
                k = k + 1;
            end
            if k > matchLength
                matchLength = k;
                matchIndex = i - j;
            end
        end
        if matchLength > 0
            compressedData = [compressedData; matchIndex, matchLength, inputData(i + matchLength)];
            i = i + matchLength + 1;
        else
            compressedData = [compressedData; 0, 0, inputData(i)];
            i = i + 1;
        end
    end
end

function decompressedData = lz77_decompress(compressedData)
    decompressedData = [];
    for i = 1:size(compressedData, 1)
        if compressedData(i, 1) == 0 && compressedData(i, 2) == 0
            decompressedData = [decompressedData, compressedData(i, 3)];
        else
            startIndex = max(1, length(decompressedData) - compressedData(i, 1) + 1);
            endIndex = startIndex + compressedData(i, 2) - 1;
            repeatedData = decompressedData(startIndex:endIndex);
            decompressedData = [decompressedData, repeatedData, compressedData(i, 3)];
        end
    end
end

上述代码中，`lz77_compress`函数用于对输入数据进行压缩，`lz77_decompress`函数用于对压缩后的数据进行解压缩。其中，`inputData`是待压缩的数据，`windowSize`是滑动窗口的大小，`bufferSize`是缓冲区的大小。压缩后的数据以矩阵形式存储在`compressedData`中，每一行表示一个匹配项，包括匹配位置、匹配长度和下一个字符。解压缩后的数据存储在`decompressedData`中。