The following handouts cover a variety of topics in greater depth, including MATLAB examples where appropriate. The MATLAB scripts are also listed separately after each handout.
| HANDOUTS | SUPPORTING FILES |
|---|---|
| Sinusoidal frequency response of linear systems (PDF) | |
| Data resampling: interpolation (up-sampling) and decimation (down-sampling) (PDF) | |
| The Dirac delta and unit-step functions (PDF) | |
| Convolution (PDF) | |
| Introduction to frequency domain processing (PDF) | |
| The Laplace transform (PDF) | |
| Determining a system’s causality from its frequency response (PDF) | |
| Introduction to operational amplifiers (PDF) | |
| Introduction to continuous time filter design (PDF) |
lpbutter.m (M) lpcheby1.m (M) lpcheby2.m (M) |
| Op-amp implementation of analog filters (PDF) | |
| Sampling and the discrete Fourier transform (PDF) | |
| The fast Fourier transform (PDF) |
fftx.m (M) ifftx.m (M) |
| Parallel derivations of the z and Laplace transforms (PDF) | |
| Frequency-sampling FIR filters (PDF) | firfs.m (M) |
| Direct form digital filter structures (PDF) |
firdf.m (M) iirdf1.m (M) iirdf2.m (M) firtdf.m (M) iirtdf2.m (M) |
| Introduction to two-dimensional/image processing (PDF - 1.5 MB) | |
| MATLAB examples of least-squares FIR filter design (PDF) | LSQFilt.m (M) |
| Introduction to least-squares adaptive filters (PDF) | LSadapt.m (M) |
| Introduction to recursive-least-squares (RLS) adaptive filters (PDF) | RLSFilt.m (M) |
