This paper explains how multiresolution analysis improves the efficiency of electromagnetic field numerical computation in three aspects, i. e. numerical integration based on multiresolution analysis(NIMA), matrix compression in multiresolution analysis (MCMA) space and multiresolution analysis in time domain(MRTD).
从多分辨数值积分、多分辨空间的矩阵压缩和时域多分辨 (multiresolutionanalysisintimedomain ,MRTD)三个方面表达了多分辨技术在电磁场数值计算中的应用。
参考来源 - 电磁场数值计算中的多分辨分析·2,447,543篇论文数据，部分数据来源于NoteExpress
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.
本文提出一种统计训练固定矩阵自适应KLT指纹图像压缩编码方法，并在TMS320C 25信号处理器上实时实现。
This paper presents a statistically learning fixed matrix adaptive KLT figure print image compression coding method. It is implemented using TMS320C25 as well.
通过对图像进行奇异值分解，将一幅图像转换成只包含几个非零值的奇异值矩阵，实现图像压缩。
Digital image is transformed into singular value matrix that contains non-zero singular values by singular value decomposition (SVD), the image is compressed.
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