根据这种自适应基可以制定一套压缩算法，从而用较少的系数就可以描述纹理图象。
A compression algorithm can be developed exploiting this basis to obtain the most economical representation of the image in terms of textured patterns.
该文提出归一化自适应预测矢量量化(NAPVQ)算法压缩sar原始数据。
This paper presents a new SAR raw data compression algorithm named Normalized Adaptive Predictive Vector Quantization (NAPVQ).
该系统采用了实时自适应ecg数据压缩算法(MFAN)、最优编码和大容量动态存储器等技术，可存储长达24小时的心电信号。
It can record and monitor ECG signal continuously up to 24 hours a real-time ECG compression algorithm (MFAN), DRAM technique and optimal coding method are presented.
最后，通过把球面参数化算法和自适应采样算法扩展到平面，我们提出一种基于传统图像压缩技术的几何信号压缩算法。
At last, by generalizing our spherical parameterization algorithm and adaptive sampling scheme to the planar case, we can adopt image compression algorithms to compress geometric signals.
首先提出了基于边缘信息测度的四叉树自适应分块的DCT压缩算法。
Firstly, an adaptive segmentation DCT coding method based on edge information measure is developed.
针对生理信号的特点，本文提出了一种能够在多数单片机上使用的实时压缩算法——改进型自适应哈夫曼算法。
Considering characters of biomedical signals, the paper proposes the Improved Adaptive Huffman algorithm, a real -time compression algorithm can be used in SCM.
采用自适应NAAC算法生成的测试矩阵能够确保无征兆误判，同时还能将大的测试矩阵压缩成小规模的测试矩阵。
The self-adaptive NAAC detection optimal algorithm can assure us of generating test matrix with no symptom aliasing and no symptom confounding.
该文提出了一种基于自适应加权方法的复值SAR图像的频域压缩改进算法。
In this paper, an adaptively weighed method based approach is proposed for data compression of complex-valued SAR images in frequency domain.
分块自适应量化(BAQ)算法是目前最适于工程实现的合成孔径雷达(SAR)原始数据压缩算法。
Block Adaptive Quantization (BAQ) is the most efficient algorithm for Synthetic Aperture Radar (SAR) raw data compression. In this paper, the theory on this algorithm is introduced.
为提高压缩算法的自适应能力，应用量化阈值自动更新机制对重构误差进行了控制。
The reconstruction distortion is controlledautomatically by a threshold adjustment mechanism to enhance the algorithm'srobustness .
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。
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。
Combined with adaptive arithmetic coding scheme, SPIHT algorithm modified for the one-dimensional case could compress signals with the.
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