Karteikarten: Digital Signal Processing Fundamentals — 10 Karten

Digital Signal Processing — purpose?

Converts analog signals into digital form for analysis and manipulation.

Digital Signal — definition?

Sequence of discrete values representing information.

Sampling — key requirement?

Must be at least twice the highest frequency (Nyquist rate).

Sampling — process?

Converting continuous signals into discrete by measurements.

Fourier Transform — role?

Converts signals from time domain to frequency domain.

Nyquist Rate — requirement?

Sampling at least twice the highest frequency.

Quantization — role?

Mapping continuous amplitudes into discrete levels.

FFT — purpose?

Efficient computation of the Discrete Fourier Transform.

Filtering — function?

Removing or attenuating specific frequency components.

Time vs Frequency — analysis?

Different domains for analyzing signals.