Aviation

对于哈夫曼编码的仿真，可以计算平均码长、熵、压缩比、编码效率(Simulation of Huffman coding)

说明：  本系统运用LZ77字典算法、懒惰匹配算法和Huffman编码算法，使用Java语言在Jbuilder2006环境下设计了使用GZIP算法对文件压缩与解压缩的实现程序。用户可以根据自己的需求，使用此程序方便地对文件进行压缩或者解压缩操作。(This system uses LZ77 dictionary algorithm, lazy matching algorithm and Huffman coding algorithm, and uses Java language to design the implementation program of gzip algorithm for file compression and decompression under the environment of JBuilder 2006. Users can use this program to compress or decompress files conveniently according to their own needs.)

霍夫曼编码，这是信息论方面很重要的一种编码方式，对学习信息论理论的人很重要！(Huffman code)

传统游程编码，并且又对游程编码进行了一定程度的改进。(The traditional run-length coding has improved it to some extent.)

基于哈弗曼树的压缩软件，可压缩文字和位图。(Huffman tree based compression software, compressible text and bitmaps.)

ZIP文件的一个编解码算法，主要用于ZIP文件的加解密。(ZIP file of a codec algorithm, mainly used in ZIP file encryption and decryption.)

电力输发电系统可靠性评估程序 解析法 系统数据在压缩包里(Power transmission and generation system reliability evaluation process analytical method system data compression bag)

PAV (H265) 是 音视频 压缩解压 协议，非常不同于H264/MPEG4，ZPAV (H265) 的基本算法 是 小波，多级树集合群，广义小波，数学形态小波，...... ZPAV (H265) 基本算法 ： 1，图象与声音分解与合成 ：小波 ； 2，图象与声音前处理 ：小波子带零交叉降噪，目标纹理处理，语音处理 ； 3，速率控制 ：小波子带熵速率控制 ； 4，量化与反量化 ：小波子带熵量化与反量化 ； 5，低频分量和高频分量的降维 ：小波子带邻域交叉降维 ； 6，运动矢量和量化表的分解与合成 ：广义小波 ； 7，位面编码 ：数学形态小波，多级树集合群，嵌入零树，位面降维 ； 8，位流编码 ：算术编码，熵编码 ； 9，运动估计 ：宏块最优决策，运动矢量预测 ； A，运动搜索 ：钻石，大钻石，小钻石，方形 ； B，图象与声音后处理 ：低通滤波，断点重构，宏块平滑 ； C，误码纠错 ：矢量仿真，帧间仿真 。 (The PAV (H265) is the audio and video compression and decompression protocol, is very different from H264/MPEG4 ZPAV (H265) algorithm is a wavelet, multi-level tree collection group, and generalized wavelets, mathematical morphology, wavelet, ... ZPAV (H265) algorithm: 1, image and sound decomposition and synthesis: wavelet 2, image and sound processing: wavelet sub-band zero-crossing noise, target texture processing, speech processing 3, the rate control: wavelet subband entropy rate control 4, quantization and inverse quantization: Wavelet subband entropy quantization and inverse quantization 5, the dimensionality reduction of the low frequency component and high frequency components: the wavelet subbands neighborhood cross-dimensionality reduction 6, the decomposition and synthesis of the motion vector and quantization tables: generalized wavelet 7, bit-plane coding: the mathematical form of wavelet multi-level tree collection group, embedded zerotree, bit plane)

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This function quickly finds local peaks or valleys (local extrema) in a noisy vector using a user defined magnitude threshold to determine if each peak is significantly larger (or smaller) than the data around it. The problem with the strictly derivative based peak finding algorithms is that if the signal is noisy many spurious peaks are found.