Weighted Rate-Distortion Optimization for Set Partitioning in Hierarchical Trees ( SPIHT) is proposed for interferential hyperspectral image lossy compression.

Because of the special sub-band structure of multiwavelets transform, how to combine SPIHT to it was another critical questions.

由于多小波变换的特殊的子带结构，如何与单小波中经典的SPIHT算法结合也是一个重要的问题。

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。

Lastly, the SPIHT algorithm is migrated on DSP.

最后，将SPIHT算法移植到DSP上实现。

Then, SPIHT coding method is used for coefficients after CL multiwavelet transform, Arithmetic coding is employed to order bit-stream.

首先对故障录波数据进行CL多小波变换，然后对变换以后的系数进行一维SPIHT编码，对得到的排序位流再进行算数编码。

Because of the SPIHT algorithms bad error-resistance characteristic, an effective scheme is proposed to improve the robustness against communication channel errors.

针对SPIHT算法抗误码性能差的缺陷，提出一种可以有效提高其抗误码性能的方法。

Based on the imaging characteristics of the spatially modulated imaging interferometer, the new compression method for interference spectral images, weighted rate-distortion optimization for set partitioning in hierarchical trees ( SPIHT), is proposed.

基于空间调制型成像光谱仪的成像特点，提出了一种适合于干涉多光谱图像的加权率失真优化多级树集合分裂（SPIHT）光谱压缩算法。

Compared with the algorithm of DPCM+ ( 5,3)+ SPIHT, the nondestructive compression ratio of two programs is all upgraded.

与DPCM+（5,3）+SPIHT算法相比，两种方案的无损压缩比都得到了提高。

Experiments show that the improved SPIHT algorithm could provide higher PSNR value than the original SPIHT algorithm at the same compression rate.

实验结果表明，SPIHT改进算法与原来的SPIHT算法相比，在相同的压缩比下可以获得更高的峰值信噪比。

In this paper, human face detection algorithm is combined with the set partitioning in hierarchical trees ( SPIHT) algorithm, and an embedded head shoulder image coding method is proposed.

头肩序列图像是可视电话、会议电视等视频业务中常见的一种图像模式.本文将SPIHT算法与人脸检测算法相结合，提出一种嵌入式的头肩图像编码方法。

A compression algorithm for medical ultrasound images based on lifting scheme integer wavelet transform and modified SPIHT ( set partitioning in hierarchical trees) is proposed.

本文提出了一种基于提升格式整数小波变换和改进的SPIHT编码（多级树集合分裂算法）的医学超声图像压缩算法。

Based on the good statistical feature of wavelet image, it presents a study of the most popular coding methods: embedded zero wavelet ( EZW), set partitioning in hierarchical trees ( SPIHT).

并根据灰度图像经小波变换以后系数的分布、统计特性，对现今十分流行的嵌入零树（EZW）、分层树集合分割排序（SPIHT）算术编码方法进行研究。

Focusing on Wavelet and Bandelets transform, the paper has done the following works: ( 1) In this paper, we proposed a Set Partitioning in Hierarchical Trees ( SPIHT) encoding method based on K-means Clustering.

利用这两种变换，本文在图像压缩方面做了以下工作：（1）提出一种基于K-means聚类的分层树集合分割（SPIHT）编码方法。

The method is based on real3D wavelet transform, and implements a three dimensional extension of SPIHT in still image coding by defining a new spatial-temporal orientation tree structure.

该方法建立在真三维小波分解基础上，通过定义一种新的时空方向树结构，实现了静止图像SPIHT算法的三维扩展。

After the clustering characteristics of image wavelet coefficients ′ significance distribution in each sub-band was analyzed, run-length coding ( RLC) was introduced into SPIHT ′ s output stage.

针对图像小波系数在各子带内显著性分布的聚簇特征，提出了在SPIHT算法的输出环节引入游程编码。

The management behavior of the higher education is transforming from passive, administration, close mode to the mode of the university spiht and humanities cultivated manners for core.

高校的管理行为正在从被动的、行取的、封闭的传统管理模式向以人为本、体现大学精神和人文素养为核心的文化管理模式转型。

The experiment results of the algorithm are compared with SPIHT algorithm, and show that the ( algorithm) is excelled in PSNR and bpp.

给出了实验结果，并与原SPIHT算法比较，结果表明：文章给出的编码方法的编码性能优于原算法。

Combined with the two-dimension wavelet transform, image SPIHT coding algorithm and DEFLATE coding algorithm, the power quality data are compressed.

结合二维离散小波变换、图像多级树集合分裂编码以及DEFLATE编码算法对电能质量数据进行压缩。

Finally, the rate-distortion performance is evaluated for several coders representative of each class, including the Set Partitioning in Hierarchical Trees ( SPIHT) algorithm and the recent JPEG-2000 standard.

最后，给出每类具有代表性的几个编码算法的率失真性能，其中包括集合分裂多级树算法（SPIHT）和现行的JPEG-2000标准。

The application of Set Partitioning in Hierarchical Trees ( SPIHT) to the image coding of arbitrarily shaped Region of Interest ( ROI) is investigated.

研究了等级树集分割编码方法（SPIHT）在任意形状感兴趣区域（ROI）编码中的应用。

The experiment results indicates that this new wavelet packet coder was competitive to, and open outperforms the best wavelet coding algorithm ( such as SPIHT) and other wavelet packet coding algorithm, especially for the textured images.

对比实验表明：本文算法的压缩效果不仅明显优于SPIHT算法（特别是纹理图像），而且优于已有的其它小波包图像压缩算法。