1) block adaptive tree-structure vector quantization (BATSVQ)
块自适应树型矢量量化
1.
The block adaptive tree-structure vector quantization (BATSVQ) and the block adaptive predictive quantization (BAPQ) are analyzed.
研究两种合成孔径雷达(SAR)原始数据压缩算法,它们是块自适应树型矢量量化算法和块自适应预测编码算法。
2) BAVQ
块自适应矢量量化
1.
Analyses show that Block Adaptive Quantization(BAQ)still is the best choice while Block Adaptive Vector Quantization(BAVQ)performs best when compression ratio becomes high and Restricted Polar Quantization(RPQ)does between the above two.
仿真结果表明三种算法各有其适用范围,块自适应量化(BAQ)仍是压缩比不高时的首选,块自适应矢量量化(BAVQ)在压缩比高时性能较好,而约束式极坐标量化(RPQ)的复杂度和性能均介于二者之间。
3) Block Adaptive Vector Quantization (BAVQ)
分块自适应矢量量化
4) block adaptive quantization
分块自适应量化
1.
In this paper,a design method of the SAR raw data real-time compression system is presented which is based on FPGA and adopts the block adaptive quantization(BAQ) algorithm.
文章讨论一种基于FPGA,并采用分块自适应量化(BAQ)算法的SAR原始数据实时压缩处理系统的设计方法,该设计可大大提高实时压缩处理系统的性能,降低数据率,突破卫星下传数据率的限制。
2.
SAR raw data compression by using lifting wavelet transform and block adaptive quantization is studied based on the known results,that a block normalized SAR raw signal is a Gaussian stationary process and the feature of wavelet transform can eliminate the signal correlation for its multi-resolution decomposition.
利用合成孔径雷达(SAR)原始数据满足局部平稳高斯随机过程的特点和小波变换的多分辨分解消除信号相关性的特性,本文研究提升小波变换和分块自适应量化(BAQ)相结合的SAR原始数据压缩算法。
5) block adaptive quantization
块自适应量化
1.
Range focusing is imposed to SAR raw data,which leads to comparatively high relativity,then a linear prediction is performed along the azimuth direction,and block adaptive quantization is used to the prediction error series.
因此提出一种新算法,先对SAR原始数据做距离聚焦处理,使其在方位向具有较强的相关性,再沿方位向做线性预测,并对预测差值系列做块自适应量化。
2.
The block adaptive quantization(BAQ) algorithm is comparatively mature for SAR raw data compression at present.
块自适应量化(BAQ)算法是目前比较成熟的一种合成孔径雷达(SAR)原始数据压缩算法,该算法以SAR原始数据块满足高斯分布为前提。
3.
Combining with traditional BAQ(block adaptive quantization),a new method(block adaptive trellis coded quantization,BATCQ) which utilizes TCQ(trellis coded quantization) in SAR raw data compression was proposed.
提出了一种结合传统的块自适应量化与网格编码量化对SAR原始数据进行压缩的方法(BATCQ)。
6) BAQ
块自适应量化
1.
Analyses show that Block Adaptive Quantization(BAQ)still is the best choice while Block Adaptive Vector Quantization(BAVQ)performs best when compression ratio becomes high and Restricted Polar Quantization(RPQ)does between the above two.
仿真结果表明三种算法各有其适用范围,块自适应量化(BAQ)仍是压缩比不高时的首选,块自适应矢量量化(BAVQ)在压缩比高时性能较好,而约束式极坐标量化(RPQ)的复杂度和性能均介于二者之间。
2.
Under studying the block adaptive quantization (BAQ) algorithm and comparing the hardware structure of digital signal processor (DSP) and FPGA, the idea of using FPGA for BAQ is presented in this paper, and the detail processes of 3 bit BAQ compression implemented by FPGA are also introduced.
针对分块自适应量化 (BAQ)算法的理论基础以及数字信号处理器 (DSP)与 FPGA各自的结构特点 ,提出了用 FPGA实现 BAQ压缩 ,并介绍了具体实现过程 。
3.
The block adaptive quantization(BAQ) for compressing the synthetic aperture radar(SAR) raw data is analysed.
首先分析了在合成孔径雷达(SAR)原始数据中通常使用的块自适应量化(BAQ)算法,然后在此基础上详细讨论了两种基于块自适应量化的变换域编码算法,即基于快速傅里叶变换块自适应量化(FFT-BAQ)和基于小波变换块自适应量化(WT-BAQ),并对这两种算法压缩得到数据解压缩获得图像与块自适应量化得到的图像进行分析比较,结果显示变换域编码技术能改善SAR原始数据压缩性能。
补充资料：自适应自整定调节
分子式：
CAS号：
性质：在调节系统中，对象的动态特性往往是变化的,如果变化不大或调节的质量要求不高时，可以采用固定规律的调节器，假若变化大，质量要求又高时，需要选择可变规律调节器。调节器参数的改变是直接按照对象特性的变化进行的，叫作自适应调节。对象的识别和调节器的规律的计算都用一个计算装置进行，就叫自适应自整定调节，或简称自整定调节。
CAS号：
性质：在调节系统中，对象的动态特性往往是变化的,如果变化不大或调节的质量要求不高时，可以采用固定规律的调节器，假若变化大，质量要求又高时，需要选择可变规律调节器。调节器参数的改变是直接按照对象特性的变化进行的，叫作自适应调节。对象的识别和调节器的规律的计算都用一个计算装置进行，就叫自适应自整定调节，或简称自整定调节。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条