Digital Signal Processing

Skill id

sys.dsp

Area

Systems & Applications

Group

Systems & Signal Processing

Roadmap importance

P · Possibilities

Origin

Node on the roadmap diagram v1.2.3

Roadmap node

Digital Signal Processing

Status in the lesson library

Assessed by a lesson

See it on the skill roadmap

Lessons that develop this skill

Lesson	Course	Develops to
Filtering: EMA vs Median, then the gauge code	AIoT in Action: From Touch Screen to IoT Platform (MicroPython)	L2 Guided
Hands-on: the potentiometer gauge and touch slider	AIoT in Action: From Touch Screen to IoT Platform (MicroPython)	L2 Guided
Gyro, the complementary filter and the level code	AIoT in Action: From Touch Screen to IoT Platform (MicroPython)	L2 Guided
Sampling right: Nyquist, aliasing and the ring buffer	AIoT in Action: From Touch Screen to IoT Platform (MicroPython)	L2 Guided
ui.Chart: multi-series plots and the real loop period	AIoT in Action: From Touch Screen to IoT Platform (MicroPython)	L1 Aware
Hands-on: a three-axis acceleration chart	AIoT in Action: From Touch Screen to IoT Platform (MicroPython)	L1 Aware
Digital compass from the BMM350 over I3C with calibration	TESAIoT Firmware Stack: C Firmware on the TESAIoT Dev Kit	L1 Aware
Motion radar: movement direction in polar form	TESAIoT Firmware Stack: C Firmware on the TESAIoT Dev Kit	L2 Guided
Stereo PDM microphone and a level meter	TESAIoT Firmware Stack: C Firmware on the TESAIoT Dev Kit	L2 Guided
Capturing a first digital signal	Electronics & Test Instruments for Embedded Developers	L1 Aware
AI-ready Sensor Streams	TESA Firmware SDK for Edge AI	L1 Aware
Sampling to match the model: rate, Nyquist, windows and the CSV schema	Edge AI Developer: From Sensor to On-Device Model	L1 Aware
Audio and several sensors on one timeline: 16 kHz PDM, timestamps and jitter	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
From raw numbers to physical quantities: tilt, energy, altitude and dBFS	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: four physics gauges on screen	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Derived metrics and rule-based classification: dew point, heat index and the rule ladder	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
DSP filters: EMA, Median, Kalman and the radar range profile	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: cleaning a live signal with a filter	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
The FFT and the frequency domain: bins, Nyquist, DC, leakage and the Hann window	Edge AI Developer: From Sensor to On-Device Model	L3 Independent
Hands-on: a live spectrum from the IMU	Edge AI Developer: From Sensor to On-Device Model	L3 Independent
Features and windowing: what the model actually sees	Edge AI Developer: From Sensor to On-Device Model	L3 Independent
Hands-on: a feature vector from a sliding window	Edge AI Developer: From Sensor to On-Device Model	L3 Independent
The action pipeline: CONF_FLOOR, debounce, cooldown and on_result	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Designing the capstone: Guardian, three pillars in one file	Edge AI Developer: From Sensor to On-Device Model	L2 Guided

Lessons that assess this skill

Lesson	Level	Evidence
Hands-on: the potentiometer gauge and touch slider	L2 Guided	practice/s05_pot_capsense.py
Hands-on: four physics gauges on screen	L2 Guided	practice/s06_physics_viz.py
Hands-on: cleaning a live signal with a filter	L2 Guided	practice/s08_filters.py
Hands-on: a live spectrum from the IMU	L2 Guided	practice/s09_fft_spectrum.py
Hands-on: a feature vector from a sliding window	L3 Independent	practice/s10_windowing.py

Roles that use this skill

Role	Minimum level	In this role
Edge AI Engineer	L3 Independent	Required (R) · raised from P on the map

Proficiency levels

• L1 Aware · Bloom: remember/understand
• L2 Guided · Bloom: apply (scaffolded)
• L3 Independent · Bloom: apply/analyse
• L4 Professional · Bloom: analyse/evaluate
• L5 Design & Lead · Bloom: evaluate/create

For Open Badges 3.0 and CASE alignment

UUID: 5b5e79e1-28f8-5854-a510-f2071f339666

{
  "type": [
    "Alignment"
  ],
  "targetName": "Digital Signal Processing",
  "targetUrl": "https://tesaiot.github.io/tesa-qualification-program/skills/sys.dsp/",
  "targetCode": "sys.dsp",
  "targetFramework": "TESA Embedded Systems Skill Map 0.1.0",
  "targetType": "CFItem"
}

Skill map data is licensed CC BY-SA 4.0, adapted from the Embedded Systems Engineering Roadmap by Meysam Parvizi