cse409 43
- Applications: Echo Cancellation, Noise Cancellation, Beamforming
- RLS Algorithm and Lattice Structures
- Adaptive Filters: LMS and NLMS Algorithms
- Subband Coding, Filter Banks, and Narrowband Design
- Polyphase Implementation and Noble Identities
- Multirate DSP: Decimation and Interpolation
- Complete Filter Design Workflow in MATLAB
- Manual DFT/IDFT, Covariance, and Logical Indexing
- MATLAB for DSP: Signal Generation and FFT
- Special IIR Filters, Structures, and Finite Word-Length
- IIR Filter Design: Bilinear Transform and Analog Prototypes
- FIR Filter Design: Window Method and Parks-McClellan
- Digital Filters: FIR vs IIR Comparison
- Practical DFT/FFT Considerations and Cepstrum
- Radix-2 FFT, Windowing, and Spectral Leakage
- Computing DFT by Hand and DFT Properties
- DTFT, DFT, and FFT: The Frequency Domain Trinity
- One-Sided Z-Transform, Transient/Steady-State, and Stability Triangle
- Pole-Zero Analysis and Stability
- Z-Transform Properties and Convolution
- Z-Transform: Definition, ROC, and Transform Pairs
- LTI Systems: Impulse Response, Convolution, and Correlation
- Linearity, Causality, and BIBO Stability
- Discrete-Time Systems and Classification
- Covariance, Correlation, and Real-World Examples
- Skewness and Kurtosis: Shape of Distribution
- Statistical Description of Signals: Mean and Variance
- Folding, Combined Operations, and Block Diagrams
- Time Scaling: Compression and Expansion
- Time Shifting: Delay and Advance
- Signal Operations: Amplitude Domain
- ADC Errors and Signal-to-Quantization-Noise Ratio
- Bits, Levels, and Dynamic Range Relationships
- Quantization Error: Derivation and Numerical Example
- Quantization: Discretizing the Amplitude Axis
- How to Avoid Aliasing: Anti-Aliasing Filters and DAQ
- Aliasing: The Spectral Impostor
- Finding Minimum Sampling Rate: Worked Examples
- Sampling Theorem and Nyquist Rate
- The DSP Pipeline: From Analog to Digital
- Digital vs Analog Signal Processing Advantages
- Signal Classifications in DSP
- What Is a Signal? The Foundation of DSP