| Region (ordered by longest λ → shortest λ) | Wavelength \(\lambda\) (m) | Frequency \(f\) (Hz) (ordered by lowest f → highest f) | Common everyday applications |
|---|---|---|---|
| Radio waves | \(>10^{-1}\) – km to m | \(<10^{9}\) | Broadcast radio, TV, mobile‑phone base‑station links, radar |
| Microwaves | \(10^{-3} – 10^{-1}\) | \(10^{9} – 10^{12}\) | Microwave ovens, satellite communication, Wi‑Fi, radar |
| Infra‑red (IR) | \(7\times10^{-7} – 10^{-3}\) | \(3\times10^{11} – 4\times10^{14}\) | Remote controls, thermal cameras, heating panels |
| Visible light | \(4\times10^{-7} – 7\times10^{-7}\) | \(4.3\times10^{14} – 7.5\times10^{14}\) | Human vision, photography, illumination |
| Ultraviolet (UV) | \(10^{-8} – 4\times10^{-7}\) | \(7.5\times10^{14} – 3\times10^{16}\) | Sun‑tan lamps, sterilisation, black‑light effects |
| X‑rays | \(10^{-11} – 10^{-8}\) | \(3\times10^{16} – 3\times10^{19}\) | Medical imaging, airport security scanners |
| Gamma rays (γ‑rays) | \(<10^{-11}\) | \(>3\times10^{19}\) | Cancer radiotherapy, astrophysical observations |
\(\displaystyle c = 3.0\times10^{8}\ \text{m s}^{-1}\)
\(\displaystyle c = \lambda f\)
\(\displaystyle E = hf\) where \(h = 6.63\times10^{-34}\ \text{J s}\)
Given: \(f = 2.0 \times 10^{9}\ \text{Hz}\)
Using \(c = \lambda f\) ⇒ \(\displaystyle \lambda = \frac{c}{f}
= \frac{3.0 \times 10^{8}}{2.0 \times 10^{9}}
= 0.15\ \text{m}\)
Result: The wavelength is 0.15 m (15 cm), which lies in the microwave part of the spectrum.
| Feature | Analogue | Digital |
|---|---|---|
| Definition | Continuous variation of amplitude, frequency or phase. | Discrete levels (binary), abrupt changes. |
| Typical waveform | Sine, cosine or other smooth curves. | Square pulses, stepwise levels. |
| Noise sensitivity | Noise adds directly → quality degrades. | Noise can be filtered; errors can be detected & corrected (parity, CRC, etc.). |
| Transmission distance | Attenuation and distortion increase with distance. | Regenerators/repeaters restore clean pulses, allowing long‑distance links. |
| Storage | Requires continuous recording (magnetic tape, vinyl). | Stored as bits; exact copies can be made without loss. |
| Conversion | No conversion needed for simple devices. | Requires an analogue‑to‑digital converter (ADC) to record real‑world signals and a digital‑to‑analogue converter (DAC) to drive speakers, motors, etc. |
| Typical applications in the EM spectrum | Analogue radio (AM/FM), analogue TV, analogue telephone. | Digital radio (DAB, DRM), digital TV, mobile data (3G/4G/5G), fibre‑optic communication. |
Engineers select the format that best matches the required bandwidth, signal‑to‑noise ratio, distance and cost. For example, a simple temperature sensor may output an analogue voltage because the measurement is local and the required resolution is high. In contrast, a mobile phone uses digital modulation (e.g., QAM, OFDM) because it needs to transmit large amounts of data reliably over many kilometres of wireless link.
The electromagnetic spectrum extends from long‑wavelength radio waves to ultra‑short‑wavelength gamma rays. All EM waves travel at the same speed \(c\) in vacuum (≈ \(3.0\times10^{8}\ \text{m s}^{-1}\)), and the relation \(c = \lambda f\) lets students convert between wavelength and frequency. Photon energy is given by \(E = hf\).
Analogue signals vary continuously and are simple to generate, but they are vulnerable to noise and loss. Digital signals use discrete binary levels, offering robustness, easy storage, error correction and the ability to travel long distances, though they require ADC/DAC conversion when interacting with the real world. The choice between analogue and digital, and the part of the spectrum used, depends on bandwidth requirements, noise tolerance, distance and the nature of the information being transmitted.
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