Digital Signal Processing
Issued by
University of New Hampshire
The earner understands digital signal processing theory and practice, including coverage of discrete time signals and systems, frequency domain transforms and practical spectral analysis, digital filter terminology and design, and sampling and reconstruction of continuous time signals as well as signal modeling, parameter estimation, optimal filtering and decision making, with application to adaptive filters, echo cancellation, channel equalization and parametric spectral estimation.
- Type Learning
- Level Advanced
- Time Months
Skills
- Adaptive Filters
- Channel Equalization And Parametric Spectral Estimation
- Convolution
- Discrete Fourier Transform (DFT)
- Discrete-Time Fourier Transform (DTFT)
- Discrete-Time Signals And Linear Time Invariant Systems
- Discrete-time Stochastic Signals
- Echo Cancellation
- Fast-Fourier Transform (FFT)
- Finite Impulse Response (FIR) Filters
- Frequency Domain Analysis Of Linear Time Invariant Systems
- Infinite Impulse Response (IIR) Filters
- Linear Time Invariant System Analysis Using Z-Transform
- Optimal Filtering
- Sampling Of Continuous-Time Signals
- Signal Modeling And Parameter Estimation