Description: HuffmanExp 哈夫曼编码
JpgVSbmp Jpg和Bmp格式相互转换的API封装
RWJpegExp JpegVC++类
VbTestDll VB调用Jpg和Bmp格式相互转换API函数的示例
jpeg jpeg中的前向DCT变换
JPEG2000压缩编码技术 源代码
vcSDll VCD2000AV卡的API函数封装
DvrDll PV988卡的API函数封装
DvsCode 监控录像系统源代码
\avi2mpg1_src 中包含了mpeg1编码的源程序
\avi2mpg1 中为该程序的可执行文件
\A2MGUI 为VC下编译的图形用户界面。
\mp3en mepg 层3音频编码程序
\mp3de mpeg 层3音频解码程序
等等，很多很全面-HuffmanExp Huffman Coding JpgVSbmp Jpg and Bmp format conversion between API package RWJpegExp JpegVC++ classes VbTestDll VB calls Jpg and Bmp format conversion between jpeg jpeg example of API functions prior to the DCT transform in JPEG2000 compression coding technology source code vcSDll VCD2000AV card API function package DvrDll PV988 card API function package DvsCode surveillance video system source code \ avi2mpg1_src contains mpeg1 encoded source \ avi2mpg1 in the program' s executable file \ A2MGUI for the VC compiled graphical user interface . \ mp3en mepg Layer 3 audio coding process \ mp3de mpeg layer 3 audio decoding process, etc., a lot of very comprehensive Platform: |
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Description: DCT A discrete cosine transform (DCT) expresses a sequence of finitely many data points in terms of a sum of cosine functions oscillating at different frequencies. DCTs are important to numerous applications in science and engineering, from lossy compression of audio and images (where small high-frequency components can be discarded), to spectral methods for the numerical solution of partial differential equations. The use of cosine rather than sine functions is critical in these applications: for compression, it turns out that cosine functions are much more efficient (as explained below, fewer are needed to approximate a typical signal), whereas for differential equations the cosines express a particular choice of boundary conditions. Platform: |
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Description: 关于DCT算法处理音频文件的一系列文件，压缩，变换等等。-DCT algorithm processing audio files on a series of documents, compression, conversion, and so on. Platform: |
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Author:李延刚 |
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Description: A discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. DCTs are important to numerous applications in science and engineering, lossy compression of audio (e.g. MP3) and images (e.g. JPEG) (where small high-frequency components can be discarded), to spectral methods for the numerical solution of partial differential equations. The use of cosine rather than sine functions is critical for compression, since it turns out (as described below) that fewer cosine functions are needed to approximate a typical signal, whereas for differential equations the cosines express a particular choice of boundary conditions.
-A discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. DCTs are important to numerous applications in science and engineering, lossy compression of audio (e.g. MP3) and images (e.g. JPEG) (where small high-frequency components can be discarded), to spectral methods for the numerical solution of partial differential equations. The use of cosine rather than sine functions is critical for compression, since it turns out (as described below) that fewer cosine functions are needed to approximate a typical signal, whereas for differential equations the cosines express a particular choice of boundary conditions.
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Description: A discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. DCTs are important to numerous applications in science and engineering, lossy compression of audio (e.g. MP3) and images (e.g. JPEG) (where small high-frequency components can be discarded), to spectral methods for the numerical solution of partial differential equations. The use of cosine rather than sine functions is critical for compression, since it turns out (as described below) that fewer cosine functions are needed to approximate a typical signal, whereas for differential equations the cosines express a particular choice of boundary conditions.-A discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. DCTs are important to numerous applications in science and engineering, lossy compression of audio (e.g. MP3) and images (e.g. JPEG) (where small high-frequency components can be discarded), to spectral methods for the numerical solution of partial differential equations. The use of cosine rather than sine functions is critical for compression, since it turns out (as described below) that fewer cosine functions are needed to approximate a typical signal, whereas for differential equations the cosines express a particular choice of boundary conditions. Platform: |
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Author:Stumer |
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Search - dct audio compression