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📌 Course Contents
Course 1-Introduction
Course 2-Fourier Series
Course 3 - Fourier transform
Course 4 - Fourier transform (cont)
1.Matrix_factorization_PCA_1
Course 5- Convolution
Course 6 - Sampling theorem
2.Matrix_factorization_PCA_2_modified
Course 7 - Reconstruction from samples
Course 8 - Discrete-time signal and DTFT
3.Sparse representation and matching pursuit
Course 9 - Convolution of discrete-time signals
Course 9&8 Appendix - DTFT Properties with Proofs
4.Orthogonal matching pursuit
Course 10 - Down sampling and up sampling
5.Sparse representation L1-norm solutions
Course 11 - Discrete-time LTI system
Course 12 - Correlation
Course 13 - Z-transform
Course 13.5 - Digital flter structure
Course 14 - Inverse_Z_transform
Course 15 - Spectral estimation using DTFT
Course 16 - DFT
Course 17 - Circular convolution
Course 18 - FFT(decimation_in_time)
Course 19 - FFT(decimation_in_freq)
Course 20 - Window function and spectral estimation
Course 21 - Low-pass filter by window function
Course 22 - Block convolution using FFT
Course 23 - Random signal
Course 24 - Quantization
Course 25 - Random signal input to LTI system
Course 26 - Oversampling and quantization
Course 27 - Oversampling and noise shaping

📌 Teaching Method
實體上課,無錄影,教授常常尬笑。

📌 Course Materials
PDF

📌 Assignments and Exams
8次作業,1次期中考,1次期末考
作業涵蓋程式或手寫,程式部分,AI可以幫上很多忙。作業雖多,但不會花太多時間。
考試可以帶1張A4小抄,期中考考了很多傅立葉基本性質的證明,期末考個人覺得很難。

📌 Reviews & Feedback
上課的時候我常常聽不太懂,不過回家自己再讀一遍就會比較清楚。雖然修完這堂課了,我還是覺得自己對這門學科到底在做什麼沒有很有把握,可能是我自己的問題吧,畢竟同學們考試分數都蠻高的。比較推薦數學強的人。