Objective: Generate sampled and synthesized signals from the command line and visualize them. Create noise signals for a given specification. Perform signal processing operations like resampling, modulation, and correlation.

• Creating discrete signals
• Sampling and resampling
• Visualizing signals
• Modeling noise
• Performing resampling, modulation, and correlation
• Generating streaming signals

Objective: Understand different spectral analysis techniques and the use of windowing and zero padding. Become familiar with the spectral analysis tools in MATLAB and explore nonparametric (direct) and parametric (model-based) techniques of spectral analysis.

• Discrete Fourier transform
• Windowing and zero padding
• Power spectral density estimation
• Time-varying spectra
• Using a spectrum analyzer in MATLAB

Objective: Represent linear time-invariant (LTI) systems in MATLAB and compute and visualize different characterizations of LTI systems.

• LTI system representations
• z-transform
• Frequency and impulse response
• Visualizing filter properties
• Applying filters to finite and streaming signals

Objective: Design filters interactively using the Filter Design and Analysis app. Design filters from the command line using filter specification objects.

• Filter specifications
• Interactive filter design
• Common filter design functions
• Filter design with filter specification objects
• Reducing filter delay
• Frequency-domain filtering

Objective: Learn to use a powerful all-in-one app for importing and visualizing multiple signals, performing spectral analysis on them, and designing and applying filters to the signals. Make simple statistical and cursor measurements on signals.

• Browse signals and make simple measurements
• Perform interactive spectral analysis
• Design and apply filters to signals interactively

Objective: Understand principles of polyphase multirate filter design. Design multirate interpolating and decimating filters. Design multistage and narrow-band filters.

• Downsampling and upsampling
• Noble identities and polyphase FIR structures
• Polyphase decimators and interpolators
• Design multistage and interpolated FIR filters

Objective: Design adaptive filters for system identification and noise cancellation.

• Basics of adaptive filtering
• Perform system identification
• Perform noise cancellation
• Improve adaptive filter efficiency