Intermediate Topic 18 of 50 Mobile, Embedded & IoT
Analog vs Digital Signals
Continuous versus discrete-valued signals.
How it works
An analog signal varies continuously over time and can take any value in a range, such as the voltage from a microphone or temperature sensor, while a digital signal has discrete levels, typically two, high and low, representing bits. Digital signals are robust to noise since small disturbances do not change the interpreted bit, can be regenerated, stored and processed by computers and support error correction. Analog is natural for physical phenomena and some high-frequency or power applications. Conversion between them uses ADCs and DACs.
Where it is used
Microphones, sensors and speakers are analog at the edges, while processing, storage and communication are digital. Digital logic levels such as 3.3 volts define thresholds for high and low.
Common pitfall
Digital signals are really analog waveforms with finite rise times, noise and reflections, so signal integrity matters at high speeds. Voltage levels between thresholds are undefined. Analog signals pick up noise and interference through long wires. Level mismatches between devices cause misreads. Use proper grounding, shielding and filtering.
Where it fits in the course
Analog vs Digital Signals is topic 18 of 50 in Mobile, Embedded & IoT, rated Intermediate. It follows Sensors and Actuators. The next topic is ADC and DAC.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Mobile, Embedded & IoT quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Mobile, Embedded & IoT quiz, and revisit the topic if you miss a question.
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Related topics
- Sensors and Actuators (Mobile, Embedded & IoT)
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- Digital Signatures (Security & Cryptography)
- Digital Forensics (Security & Cryptography)