描述
傅里叶变换、卷积。采样定理。成像的应用：空间分辨率描述、滤波。相关、噪声功率。离散傅里叶变换、快速傅里叶变换。噪声信号的滤波。计算机断层和磁共振中的图像重建。拉普拉斯变换。积分变换，边值问题的应用。
条件与方式
- 亦以本科课程 PHYS 4203 提供，要求不同，且与之互相排斥。
原文参考文本
Fourier transform, convolution. Sampling theorem. Applications to imaging: descriptors of spatial resolution, filtering. Correlation, noise power. Discrete Fourier transform, FFT. Filtering of noisy signals. Image reconstruction in computed tomography and magnetic resonance. Laplace transform. Integral transforms, application to boundary value problems.
- Also offered at the undergraduate level, with different requirements, as PHYS 4203 , for which additional credit is precluded.
来源与参考
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来源参考 : https://calendar.carleton.ca/grad/courses/PHYS/