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Wavelet Subband coding for speaker recognition The fn will calculated subband energes as given in the att tech paper of ruhi sarikaya and others. the fn also calculates the DCT part. using this fn and other algo for pattern classification(VQ,GMM) speaker identification could be achived. the progress in extraction is also indicated by progress bar.-Wavelet Subband coding for speaker recognitionThe fn will calculated subband energes as given in the att tech paper of ruhi sarikaya and others. The fn also calculates the DCT part. Using this fn and other algo for pattern classification (VQ, GMM) speaker identification could be achived. the progress in extraction is also indicated by progress bar.
Date : 2025-12-21 Size : 86kb User : chan man man

This a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious. -This is a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious.
Date : 2025-12-21 Size : 1kb User : Ho Joon Lee

This a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious. -This is a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious.
Date : 2025-12-21 Size : 3kb User : Ho Joon Lee

This a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious. -This is a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious.
Date : 2025-12-21 Size : 125kb User : Ho Joon Lee

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本上传是在matlab环境下实现图像的基于DCT的JPEG压缩,上传内容包括主程序、子函数和实验原理pdf。可供朋友学习与参考。-This upload is in the matlab environment to achieve the image DCT-based JPEG compression, upload content, including the main program, subroutine and experimental principles of pdf. For friends to study and reference.
Date : 2025-12-21 Size : 133kb User : 马妍

Huffman and Shannon-Fano source coding
Date : 2025-12-21 Size : 3kb User : pooori

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Date : 2025-12-21 Size : 96kb User : ni

共7个matlab程序及两幅原始待处理图像,功能是图像压缩的实验,分别运用了DCT(1个程序),小波变换(5个程序)和小波包变换(1个)对图像进行压缩,各个程序的作用及程序注释已在程序中做了详细说明,程序均可直接运行-matlab program for image compression ,using DCT wave,wavelet,wavelet packet methods respectively .
Date : 2025-12-21 Size : 48kb User : John

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对图像进行DCT正反变换,可以在matlab里面观察正变换后的数据,达到数据压缩。-DCT pros and transform the image in matlab which observed data is transformed to achieve data compression.
Date : 2025-12-21 Size : 6kb User : 后效

(1)试利用函数dct2,对该图像进行压缩。压缩时可尝试对DCT 变换后的系数采用不同取舍方法,比较其压缩性能。(函数dct2在matlab本身是有的,可以help dct2看看) (2)结合课本例8.7.2 的量化方法,对每一个经DCT变换后的8×8 矩阵量化(Huffman编码部分可省略),从而实现图像压缩。在一定压缩比的情况下,和⑴给出的图像质量相比较。 (3)用所给的子子程序fast_LOT.m 实现对该图像的变换与压缩,并和(1)得出的图像质量相比较-(1) Test using function dct2, the image is compressed. The compression can try to adopt different choices, the DCT transform coefficients after comparing its compression performance. (Function dct2 the matlab itself is some help dct2 see) (2) combined with the textbook cases 8.7.2 of quantitative methods, 88 each DCT transform matrix quantization (Huffman encoding part can be omitted) thereby achieving the image compression. In the case of a certain compression ratio, and the image quality given by the ⑴ compared. (3) with the given sub-subroutine fast_LOT.m transform and compress the image, and (1) gives the image quality compared
Date : 2025-12-21 Size : 197kb User : zrf

project description for decsrbibing the dct based approach in matlab for compression
Date : 2025-12-21 Size : 517kb User : shp
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