The paper falls into two main parts : digital speech compress coding and moving picture compress coding .
本论文的工作分为两大部分：数字语音压缩编码和活动图像压缩编码。
MPEG-4 facial animation is one of the key technologies in the next generation model based on compress coding.
为了解决基于模型编码的新一代多媒体压缩标准中的MPEG - 4人脸动画技术，引入了一个MPEG - 4三维人脸动画系统。
In order to obtain satisfying vision and transmission effect, effective image data compress coding, is the key technology to solve.
为了达到令人满意的视觉和传输效果，对图像数据进行有效的压缩编码，是需要解决的关键技术之一。
The purpose of digital image compress coding is to token the image within the limit of bit, and to maintain the quality of renew image.
数字图像压缩编码的目的就是要以尽可能少的比特数来表征图像，同时又必须保持恢复图像的质量。
Compared with the JPEG standard, JPEG2000 standard adopts some different compress technique, such as the Discrete Wavelet Transform, Embedded Coding and so on.
与传统的JPEG标准相比，JPEG2000标准采用了离散小波变换、内嵌编码等技术，从而具有了渐进传输、感兴趣区域压缩、抗误码等新特性。
We also studied coding and compress technique of audio signal, which is used in compressing and far-distance transmission of audio signal in our broadcast system.
本文研究了音频信号编码和压缩技术，用于本系统广播音频信号的压缩和远程传输。
Using presently successfully CELP speech coding method to compress the synthetic unit, under the ratio of 20, can still have high articulation synthetic speech.
采用目前较成功的CELP语音编码方法对合成单元进行压缩，在压缩20多倍的情况下仍能保证合成语音的高清晰度。
Secondly, introduces MP3 audio compress standard including subband filter bank, psychoacoustic model, adaptive window switch over, Huffman coding, bit reservior, etc.
其次，介绍了MP3音频压缩标准所使用的子带编码、心里声学模型、自适应窗口切换、哈夫曼编码、比特池等关键技术。
Multimedia information compress technology is one of the key technologies in multimedia communication area. So the international coding standard MPEG-4 becomes focus of the research.
多媒体信息压缩的技术是多媒体通信领域的关键技术，因此编码标准MPEG - 4也成为了研究的焦点。
Motion estimation is a key technique in video compress and coding.
运动估计是视频压缩编码中的关键技术。
Experimental results show that the method is able to compress video rapidly and effectively, and is a video coding method with great potentials.
实验结果表明该方法能够快速的高效的压缩视频图像，是一种很有潜力的视频压缩编码方法。
The excellent video coding performance of H. 264 is obviously built upon its high complexity, and the algorithm itself has plentiful coding tools including video compress and net transmission.
众所周知，H．264的高效性是建立在其实现的高复杂度基础上的，其算法本身也包含了丰富的基于压缩和网络传输的各种编码选项。
This coding algorithm can compress video by the method of combining inter-frame compression and intra-frame compression.
该编码算法采用帧内编码和帧间编码相结合的方法对序列图像进行压缩编码。
Combined with adaptive arithmetic coding scheme, SPIHT algorithm modified for the one-dimensional case could compress signals with the.
将SPIHT算法与自适应算术编码结合应用于一维漏磁信号压缩，可以实现高压缩比、多种码率压缩编码。
Constrained input reduction, LFSR coding and folding counter are applied to compress and generate a deterministic test set.
运用有约束的输入精简、LFSR编码与折叠计数器技术，实现了对确定性测试集的压缩与生成。
Constrained input reduction, LFSR coding and folding counter are applied to compress and generate a deterministic test set.
运用有约束的输入精简、LFSR编码与折叠计数器技术，实现了对确定性测试集的压缩与生成。
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