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于 2012-06-04 发布 文件大小:4KB
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    数字信号处理是一门以算法为核心,理论和实践性较强的学科。是电子信息工程、通信工程、电子信息科学与技术专业的一门重要的专业技术基础课。数字信号处理课程是在学习完数字信号处理的相关理论后,进行的综合性训练课程,其目的是: 1、使学生进一步巩固数字信号处理的基本概念、理论、分析方法和实现方法; 2、增强学生应用Matlab语言编写数字信号处理的应用程序及分析、解决实际问题的能力。(Digital signal processing is an algorithm as the core theoretical and practical strong discipline. Electronic and Information Engineering, Communication Engineering, Electronic Information Science and Technology, professional an important professional and technical basic courses. Digital Signal Processing is a comprehensive training course in learning digital signal processing theory, its purpose is: 1 to enable students to further consolidate the basic concepts of digital signal processing, theory, analysis and implementation enhance the students to apply the Matlab language to the application of digital signal processing and analysis, ability to solve practical problems.)

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    由于小波及小波包技术可以将信号或图像分层次按小波基展开,所以可以根据图像信号的性质以及事先给定的图像处理要求确定到底要展开到哪一级为止,从而不仅能有效地控制计算量,满足实时处理的需要,而且可以方便地实现通常由子频带、层次编码技术实现的累进传输编码(即采取逐步浮现的方式传送多媒体图像)。这样一种工作方式在多媒体数据浏览、医学图片远程诊断时是非常必要的。另外,利用小波变换具有放大、缩小和平移的数学显微镜的功能,可以方便地产生各种分辨率的图像,从而适应于不同分辨率的图像I/O设备和不同传输速率的通信系统。相比之下,利用KL变换进行压缩编码,只能对整幅图像进行;而利用小波变换则能够比较精确地进行图像拼接,因此对较大的图像可以进行分块处理,然后再进行拼接。显然,这种处理方式为图像的并行处理提供了理论依据。 (As the little affected wavelet packet technology can signal or image stratified by wavelet and so on according to the nature of the image signal and the image processing requirements given in advance exactly sure on to what level, and so far not only can effectively control of calculation and meet the needs of the real-time process, and can be easily realized by sub-band usually coding technology, levels of the realization of the progressive transmission (that is, take gradually emerged coding the way multimedia image transfer). Such a way of working in multimedia data browse, medical image remote diagnosis is very necessary. In addition, by using wavelet transform has amplification, narrowing the mathematics of peace move microscope function can be easily produce all sorts of resolution image in order to adapt to different resolution in )
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