SIGNALS, SAMPLING & QUANTISATION
- Continuous and discrete signals
- Sampling, aliasing and discretisation
- Quantisation and signal resolution
- Pulse width and pulse repetition frequency
FreeScopes Basic III — Signal Processing
FreeScopes Basic III extends the FreeScopes training environment from radar-specific processing into the broader foundations of digital signal processing. Trainees generate, sample, modulate, filter and analyse signals in time and frequency domains while building the processing chain directly in the FreeScopes block-diagram environment.
The module forms the signal-processing foundation for later radar, communication, navigation and surveillance exercises and prepares trainees to work with increasingly complex physical and simulated systems.
Work in progress; implementation and trainee-facing composition documented.
FreeScopes Basic III extends the FreeScopes learning path from the radar-oriented foundations of Basic I and the two-dimensional, matrix-oriented processing of Basic II into broader digital signal processing. Trainees build the processing chain directly in the visual block-diagram environment, working with generated, simulated, recorded or supported live signal data.
Signal generation → sampling and quantisation → time-domain inspection → FFT and spectral analysis → filtering and mathematical processing → output comparison
Trainees generate defined signals, sample and discretise them, vary quantisation, inspect successive processing stages and compare time- and frequency-domain results. The emphasis is direct experimentation: parameters are changed, outputs are observed and processing choices are evaluated in repeatable exercises.
Breakpoint and path-loss analysis is a shared Basic III / Basic IV teaching topic.
Generate a signal, vary the sampling rate and compare the resulting time- and frequency-domain representations.
Change bit depth or level count and analyse quantisation resolution and noise.
Build modulation and demodulation chains and compare time- and frequency-domain behaviour.
Build symbol-based modulation chains and inspect constellation and eye diagrams.
Compare filter configurations and evaluate their effect on the signal spectrum.
Introduce AWGN and compare signal quality at different SNR levels.
Compare signal energy, RMS and average power under different amplitude and length conditions.
Use SNR and bandwidth parameters to analyse Shannon capacity.
Configure a breakpoint or power-law model and compare the theoretical curve with its effect on the received signal.
Product
FreeScopes Basic III
Primary role
Signal-processing foundation module
Environment
Browser-based FreeScopes
Status
Work in progress
Teaching focus
Practical digital signal processing
Position in series
Builds on Basic I / II; foundation for Basic IV–VII and advanced modules
Domains
Time and frequency
Signal generation
Supported through FreeScopes generator blocks
Sampling / quantisation
Included in documented training compositions
Modulation
Analogue and digital modulation exercises
Spectral analysis
FFT / spectrogram workflows
Noise analysis
AWGN / SNR workflows
Digital communications analysis
Eye / constellation / BER where included
Interaction
Visual block-diagram construction
Inputs
Generated, simulated, recorded or supported live signal data
Visualisation
FreeScopes Fig / scopes according to exercise
External workflow
May be combined with Record, Replay & Livestream for dataset-based experimentation
FreeScopes Basic I → FreeScopes Basic II → FreeScopes Basic III → FreeScopes Basic IV and advanced modules
FreeScopes Basic III is the digital and mathematical signal-processing layer between the radar-oriented foundations of Basic I / II and the RF, antenna and propagation focus of Basic IV. It provides a reusable DSP foundation for later communication, navigation, surveillance, AI, ECCM and military-radar training without blurring the boundary to physical RF transmission.
After completing the relevant exercises, trainees can generate and configure analogue and discrete signals; configure sampling and quantisation parameters; identify and analyse aliasing; apply FFT and compare time- and frequency-domain representations; configure modulation and demodulation chains; apply filters and compare signal outputs; calculate or analyse energy, power and SNR; inspect eye and constellation diagrams; evaluate BER and channel-capacity relationships where included; compare mathematical signal and path-loss models; and transfer the same DSP concepts to later radar, COM, NAV and SUR exercises.
Radar control, visualisation and core signal-processing foundations.
Two-dimensional and matrix-oriented processing for the next stage of the learning path.
Dataset-based experiments with recorded, replayed and supported live signal data.
Repeatable simulated radar data and scenarios for practical processing exercises.
Real radar measurements for practical signal-processing and DSP exercises in FreeScopes.
Use FreeScopes Basic III to build, inspect and compare signal-processing chains across time-domain, frequency-domain and digital-communications exercises.
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