Digital Signal Processing Education Kit
Help learners develop their ability to design DSP systems and create commercially viable audio applications, using high-performance and energy-efficient processors.
Course syllabus
- Discrete Time Signals and Systems: Convolution and Correlation
- Sampling, Reconstruction and Aliasing: Review of Complex Exponentials and Fourier Analysis
- Sampling, Reconstruction and Aliasing: Time and Frequency Domains
- Z-Transform: Time and Frequency Domains
- FIR Filters: Moving Average Filters
- FIR Filters: Window Method of Design
- IIR Filters: Impulse Invariant and Bilinear Transform Methods of Design
- IIR Filters: Simple Design Example
- Fast Fourier Transform: Review of Fourier Transformation
- Fast Fourier Transform: Derivation of Radix-2 FFT
- Adaptive Filters: Prediction and System Identification
- Adaptive Filters: Equalization and Noise Cancellation
- Adaptive Filters: Adaptive FIR Filter
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