Chapter 3 studies and analyzes the wavelet-based image restoration algorithms, including threshold deconvolution algorithm, iterative regularization algorithm and parameter model algorithm.
第3章研究和分析了基于小波的图像复原算法，包括小波域的阈值反卷积算法、迭代正则化算法和参数模型算法。
This paper presents a deconvolution algorithm for nonlinear system.
介绍一种适用于非线性系统的反卷积算法。
Numerical simulation shows that the spatial resolution is enhanced by four times using the frequency-domain deconvolution algorithm with high temperature accuracy.
理论仿真结果表明，采用频域反卷积算法可以在不降低光源脉冲宽度的情况下，将空间分辨率提高四倍。
The results indicate that the deconvolution algorithm is a beneficial complement for the FRDTS to realize accurate locating and temperature monitoring for sharp temperature variations.
理论和实验结果表明，应用反卷积算法有利于光纤拉曼温度传感器对温度突变点的监测。
Thirdly, a new deconvolution algorithm, R-CLEAN algorithm, in UWB wireless channel measurement is promoted.
提出了超宽带无线信道测量中一种新的解卷积算法—r -CLEAN算法。
Thirdly, a new deconvolution algorithm, R-CLEAN algorithm, in UWB wireless channel measurement is promoted.
提出了超宽带无线信道测量中一种新的解卷积算法—r -CLEAN算法。
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