目前，小波变换、矢量量化以及嵌入式编码已经成为图像压缩的主要技术及研究热点，越来越受到重视。
Nowadays, wavelet transform, vector quantization and embedded encoding has been the primary technique and study focus for image compression, to which people attach their more importance.
分析了典型的嵌入式编码算法，如ezw、SPIHT和EBCOT，认为EBCOT相对易于实现硬件加速，且具有较好的压缩性能。
After analyzing classic embedded coding algorithms such as EZW, SPIHT and EBCOT, it is shown that EBCOT is easier to accelerate with hardware and has better image compression performance.
该系统由倾角传感器、绝对式光栅编码器和嵌入式微处理器组成。
The system is made of obliquity sensor, absolute grating encoder and embedded microprocessor.
实验表明嵌入式零材编码方法可以用在非分离型二维子波变换情况，在低比特率时有很好的巅值信噪比PSNR。
The experiment shows that the embedded zerotree coding method can be used in the case of nonseparable wavelet transform and has good PSNR at low compression ratio.
文中提出应用数字信号处理器和微控制处理器ARM9核的MPEG-4视频简易框架和高级音频编码解码器的实时嵌入式设计。
A real-time embedded design of MPEG-4 visual simple profile and advanced audio coding decoder using Digital Signal Processor and ARM9 core are presented in this paper.
视频处理芯片是嵌入式视频系统的核心部件之一，具有视频信号采集、编码、解码、输出等功能。
Video controller chip, which is one of the important component of video embedded systems, plays an important role in video signal acquisition, decoding, encoding, output and other important functions.
论述了一种小型嵌入式LED点阵显示系统的驱动电路和汉字编码方法；
The driving circuit and a method of Chinese character coding in an embedded LED array display system are discussed in this paper.
利用ARM微处理器实现图像的小波变换，并根据ARM本身的结构特点提出了一种改进的嵌入式零树编码算法，以便在ARM微处理器上实现图像压缩。
The paper describes a modified embedded zerotrees coding algorithm adapting to the ARM microprocessor′s structure, which improves the image compression based on the ARM microprocessors.
本论文提出了一种基于嵌入式系统的快速子像素搜索算法，以及与视频编码算法相结合的运动物体检测算法。
This paper presents an embedded system based on the rapid-pixel search algorithm, as well as video coding algorithm combining the moving object detection algorithm.
实验证明，基于3维小波变换的3维SPIHT编码算法在对超光谱图像压缩时，表现出了优良的率失真性能。 并且算法复杂度适中，具有嵌入式特性。
The test results show that the 3D SPIHT algorithm based on 3D DWT for hyperspectral images compression is very efficient, the algorithm is embedded and has modest complexity.
文中对嵌入式零树小波编码算法及其改进算法的原理、方法和性能进行了介绍和比较，并指出了嵌入式图像编码的研究方向。
The principles and performances of EZW and its improved algorithms are presented and explained, and the research tendency in the area of embedded image coding is pointed out.
本文主要研究基于单片微处理器的嵌入式语音编码系统。
The embedded speech system based on the microprocessor chip is researched in this thesis.
为了更好地解决音频与视频同步问题，提出了一种嵌入式音视频混合信号同步压缩编码算法。
In order to resolve the problem, an embedding scheme for synchronized compression of audio and video is presented.
在众多的嵌入式图像编码算法中，最具有代表性的是EZW、SPIHT、SPECK三种编码算法。
Among so many embedded image coding algorithms, the EZW, SPIHT and SPECK are the best representatives.
嵌入式设备简易输入法，包括如下步骤：由遥控器数字键输入，发射出一定编码的红外光；
The invention relates to an embedded device simple input method. The method comprises the following steps: inputting with number keys of a remote control, emitting a certain coded infrared light;
文章在简要分析MPEG压缩编码标准及特点的基础上，给出了一种嵌入式MPEG - 4视频监控系统的整体设计方案，并详细介绍了嵌入式MPEG - 4编解码的实现。
On the basis of briefly analyzing MPEG-4 compression encoding standard and its characteristics, this paper presents the whole design scheme of an embedded MPEG-4 video surveillance system.
介绍了图像工程领域里新颖有效的嵌入式零树小波ezw图像编码方法。
An image coding method is introduced in the field of image engineering which is a new and efficient image coding technique i. e. Embedded zero-tree wavelet EZW image coding.
文章介绍了四种传统宽带语音编码标准和三种最新的嵌入式宽带语音编码标准。
Four traditional wideband speech coding standards and three new embedded wideband speech coding standards are introduced.
该算法具有较高的压缩比，能够实现有损或无损压缩，能够提供分辨率可分级性，而且保持了原来的嵌入式零树编码所具有的优点。
The algorithm has high compression ratio, and can achieve the lossless and loss compression. It can provide the resolution scalability and remain the former advantages of EZW.
该算法具有较高的压缩比，能够实现有损或无损压缩，能够提供分辨率可分级性，而且保持了原来的嵌入式零树编码所具有的优点。
The algorithm has high compression ratio, and can achieve the lossless and loss compression. It can provide the resolution scalability and remain the former advantages of EZW.
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