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Signals and Sampling

Block 2. Signals, Spectrum, Sampling, and I/Q

Purpose

Block 2 transforms the first received signal from Block 1 into engineering-grade data. The goal is to correctly interpret time-domain signals, spectra, frequency axes and IQ recordings.

Block 2 Pipeline

Why this block matters

If sampling rate, center frequency or IQ format are wrong, the spectrum may look correct visually but lead to incorrect engineering conclusions. This block introduces disciplined SDR data interpretation.

Core idea:

signal -> sampling -> FFT -> I/Q -> metadata -> interpretation check

Learning outcomes

After completing this block, the student can:

  • distinguish RF frequency from baseband frequency;
  • build a correct FFT frequency axis;
  • relate sample rate, FFT size and resolution;
  • explain aliasing and mirrored spectrum;
  • detect DC offset, clipping and spectral leakage;
  • document IQ recordings for reproducibility.

Topics

Topic Engineering meaning
Time-domain signal amplitude, shape, spikes, clipping, DC offset
Sampling Fs, Nyquist, aliasing, time step
FFT bins, resolution bandwidth, windowing, leakage
I/Q complex baseband, positive and negative frequencies
Metadata Fs, Fc, gain, format, I/Q order, duration
Validation deliberate interpretation mistakes and diagnostics

Lab path

Step Task Check
1 plot time-domain waveform amplitude, DC, clipping
2 plot FFT correct frequency axis
3 change Fs frequency interpretation error
4 change Fc baseband-to-RF mapping
5 swap/sign-change I/Q mirrored spectrum
6 write metadata table reproducibility

Practical work

The student takes a known tone, builds time and frequency plots, and then intentionally changes Fs/Fc or metadata to observe incorrect interpretations.

Engineering result

Outputs of the block:

  • time-domain waveform;
  • FFT with correct frequency axis;
  • parameter table;
  • short report describing interpretation errors.

Connection to Block 3

Block 2 answers: what exactly do we see in the signal?

Block 3 answers the next question: how do we modify, filter, shift and prepare this signal for FPGA implementation?