Physical Science 8 mascot: a cartoon scientist heating a sample over a Bunsen burner Mr. LaMarr’s Physical Science ClassroomPlacerita Junior High - Grade 8

Table of Contents

Unit 1: Energy of Motion
Unit 2: Gravity & Energy Related to Position
Unit 3: Electricity & Magnetism
Unit 4: Waves Transmitting Energy & Information
Unit 5: Thermal Energy & Heat Flow
Unit 6: Chemical Energy & Reactions
Unit 4, Chapter 14 · Waves Transmitting Energy & Information

Waves & Information Technology

NGSS standards: MS-PS4-3

Chapter infographic, Waves and Information Technology. Waves help carry information from one place to another. The poster works through the idea in labelled photo panels and ends with a list of key takeaways.
the poster to open it full size.

Two Ways to Encode a Message

Every time you send information through a wave, that information has to be encoded: turned into a pattern the wave can carry. There are two fundamentally different ways to do this: analog and digital. An analog signal encodes information as a smooth, continuously changing wave, exactly mirroring the original sound or image. A vinyl record works this way: tiny, continuously varying grooves are physically carved into the record to match the exact shape of the original sound wave, and a needle traces those grooves to recreate the music.

A digital signal instead breaks information down into discrete numbers, specifically a stream of 1s and 0s called bits. A digital music file doesn't store a continuous wave shape; it stores thousands of numerical snapshots of the wave taken every second, then rebuilds an extremely close approximation of the original sound when you hit play. It looks less "natural," but that difference turns out to be a superpower.

The quality of a digital recording depends heavily on how often those snapshots, called samples, are taken. Standard music CDs sample sound 44,100 times every single second: a rate chosen because it's just high enough to accurately capture every frequency the human ear can hear. Sample too infrequently, and the digital copy misses fast changes in the original wave, producing a choppy or distorted sound; that's part of why old, low-quality digital recordings from decades ago sometimes sound thin or robotic compared to a modern high-resolution digital file. It's a direct trade-off: more samples per second means a more faithful copy of the original wave, but also a larger file to store or transmit.

The same smooth sound wave copied two ways. Left: only 8 evenly spaced snapshots are taken, and the digital copy, drawn as steps, is blocky and misses the fast wiggles; a few snapshots are labeled with their 4-bit numbers. Right: 32 snapshots are taken, and the steps hug the original wave closely.
Figure 14.1. The smooth line is the original sound; the steps are the digital copy rebuilt from snapshots, each stored as a number (a few are shown in 1s and 0s). Eight snapshots miss the quick wiggle; thirty-two follow it closely, but make four times as many numbers to store and send.

Why Digital Wins for Long-Distance Communication

Here's the problem with analog signals: every time they travel, get copied, or pass through interference (static, noise, scratches), tiny errors creep in and are impossible to separate from the real signal. That's because the whole signal is one smooth, continuous wave, so there's no way to tell an error from real data. That's why an old vinyl record picks up crackles and pops over time, and why a weak analog radio station gets fuzzy and staticky the farther you drive from the transmitter.

Digital signals solve this beautifully. Because the information is just a sequence of numbers (1s and 0s), a receiving device only has to decide between two options at each point: is this a 1 or a 0? Even if some noise sneaks in during transmission, it's usually easy to tell what the original bit was supposed to be, and many digital systems can detect and even correct errors automatically. That's why a streamed song sounds identical whether it just left the server or traveled halfway around the world, and why a digital photo can be copied a thousand times with zero loss in quality (something an analog photocopy could never do).

Two rows compare what noise does to a signal. Analog row: a smooth wave is sent, picks up jagged noise on the way, and the receiver has to keep the noisy wave because the noise cannot be told apart from the signal. Digital row: a square wave carrying the bits 1 0 1 1 0 1 picks up the same noise, but every high part stays above a dashed cutoff line and every low part stays below it, so the receiver rebuilds a clean 1 0 1 1 0 1.
Figure 14.2. The same noise hits both signals. On the smooth analog wave it becomes part of the signal for good, but the digital receiver only asks whether each moment is above or below the cutoff, so it recovers exactly 1 0 1 1 0 1.

From Vibration to Light and Back Again

Modern communication technology is a nonstop relay race between mechanical and electromagnetic waves. When you talk into your phone, your voice creates a mechanical sound wave in the air. Your phone's microphone converts that mechanical wave into an electrical signal, digitizes it into 1s and 0s, and then converts it again into an electromagnetic wave (a radio wave) that can travel enormous distances at the speed of light without needing any medium at all.

Fiber optic cables take this even further, converting digital signals into pulses of light that race down hair-thin strands of glass, bouncing off the inner walls through total internal reflection for hundreds or even thousands of miles with almost no signal loss. Wifi routers do something similar, broadcasting your digitized data as radio waves through the air to every device in your house. At the other end, your friend's phone or laptop receives that electromagnetic wave, converts the digital data back into an electrical signal, and finally turns it back into a mechanical sound wave that vibrates a speaker, recreating your voice, your music, or your video call, often thousands of miles from where it started, all within a fraction of a second.

A fiber optic cable drawn as a long tube with a glass core, a cladding layer, and a protective jacket. A laser at the left flashes pulses of light for the bits 1 0 1 1 into the core; the light zigzags down the core, reflecting completely each time it meets the wall at a shallow angle, and reaches a sensor at the right that reads 1 0 1 1.
Figure 14.3. A laser flashes 1s and 0s as pulses of light into the glass core. Each time the light meets the wall at a shallow angle it reflects completely, so the pulses stay trapped inside mile after mile and reach the sensor almost as strong as they started.

Real Technology, Real Impact

This analog-to-digital revolution touches nearly every piece of technology you use. CDs and streaming services replaced analog cassette tapes because digital audio doesn't degrade with each play or copy. Cell phones convert your voice into digital radio signals that can be compressed, encrypted, and transmitted efficiently across cell towers spanning entire countries. Wifi networks pack enormous amounts of digital information (video, photos, messages) into radio waves broadcast through your home. And fiber optic internet, which carries digital information as pulses of light, now forms the backbone of the global internet, moving unbelievable amounts of data between continents through cables laid across the ocean floor.

From talking drums to fiber optic cables, the core idea has never changed: waves carry both energy and information, and civilizations advance by getting better at encoding, transmitting, and decoding that information across greater distances, more reliably, and with less lost along the way.

How Much Can a Wave Carry? Bandwidth and Compression

Not every wave can carry the same amount of information at the same time, and that limit is called bandwidth: essentially, how much data a signal can transmit in a given amount of time, usually measured in bits per second. A narrow band of radio frequencies can only carry so many phone calls or so much video before it gets overloaded, which is exactly why old dial-up internet connections, squeezed through the narrow bandwidth of a telephone line, took minutes to load a single image that loads instantly today over a fiber optic or 5G connection carrying billions of bits every second.

Higher-frequency waves generally have more room to carry information, which is part of why engineers keep pushing communication technology toward higher frequencies, from AM radio, to FM radio, to wifi, to the newest 5G cell networks, with each jump unlocking dramatically more bandwidth. Fiber optic cables use light, an extremely high-frequency wave, which is a huge part of why they can carry such enormous amounts of internet data across entire oceans.

Engineers also rely on compression to squeeze more information into limited bandwidth. A streaming video service doesn't send every single detail of every frame; instead, clever algorithms remove information your eyes are unlikely to notice missing, like parts of an image that barely change from one frame to the next, shrinking the file dramatically without a noticeable drop in quality. That combination (higher-frequency waves carrying more bandwidth, plus compression squeezing data down further) is exactly why a two-hour movie can stream smoothly over a home internet connection instead of requiring an impossibly huge, uncompressed file.

How a Radio Wave Actually Carries a Song

A radio wave by itself is featureless: a smooth, repeating wave with nothing in it to hear. To carry a song, that plain wave has to be altered in a pattern that matches the sound, and there are two classic ways to do it. Both start with a steady wave called the carrier, at whatever frequency the station broadcasts on.

The first method changes the carrier's amplitude, making it taller and shorter in step with the music. That is AM, which stands for amplitude modulation, and modulation is just a technical word for altering the wave on purpose. The second method leaves the height alone and nudges the frequency up and down instead, squeezing and stretching the wave. That is FM, frequency modulation. The numbers on a radio dial are carrier frequencies: 101.5 on the FM dial means 101.5 megahertz, or 101.5 million wave cycles every second.

Four stacked waves. The sound, or message, is a slow purple wave. The carrier is a steady, fast gray wave. In AM, the carrier keeps its spacing but its height grows and shrinks with the sound, following dashed outline curves. In FM, the carrier keeps its height but its waves crowd together where the sound is high and spread apart where the sound is low. Dashed vertical lines mark the sound’s peaks and trough.
Figure 14.4. Both stations start with the same steady carrier. AM makes its waves taller and shorter in step with the song; FM keeps the height the same and squeezes the waves together or stretches them apart instead, which is why static that adds stray height bothers AM but not FM.

This difference explains something you may have noticed on a long drive at night. AM stations fade in and out and pick up crackle during a thunderstorm, while FM stations either sound clean or vanish entirely. Lightning and electrical equipment mostly add stray amplitude, which an AM receiver cannot tell apart from the signal, so the noise comes through as static. An FM receiver reads only the frequency changes and simply ignores amplitude wobble, so it shrugs off the same interference.

Notice that this is the analog-versus-digital idea from the start of the chapter showing up again in a different costume. AM and FM are both analog: the wave varies smoothly and any distortion picked up along the way rides along as part of the signal. A digital broadcast sends only ones and zeros, and a receiver only has to decide which of two values each piece is, so small distortions get rounded away entirely. The trend from AM to FM to digital is really one long effort to keep noise from reaching your ears.

Real-World Connections

Streaming Video Through Fiber Optic Cables

When you stream a video, the information travels as pulses of light through hair-thin glass fiber optic cables, sometimes for thousands of miles, as a digital signal that stays clear the entire way.

Vinyl Records vs. Streaming Music

A vinyl record stores sound as a continuously changing analog groove that can wear down and get scratchy over time, while a digital music file stores the same song as precise numbers that sound identical no matter how many times it's copied.

How they tie togetherBoth examples highlight this chapter's key advantage of digital signals: they resist the noise, wear, and errors that naturally creep into analog signals over distance or time.

Meet the Scientist

Illustration of a telecommunications engineer in a safety vest joining optical fibers in a fusion splicer, with coils of fiber-optic cable on the bench, network racks alongside, and a cell tower outside the window.

Telecommunications Engineers

Telecommunications engineers design the fiber-optic and wireless networks that carry digital information around the world. They constantly work to squeeze more data through cables and radio waves while keeping the signal as error-free as possible for billions of users.

Average salary in Southern California
About $149,000 a yearBased on pay for computer network architects, the job group that includes telecommunications engineers in the L.A., Orange County, Inland Empire, San Diego, and Ventura areas (U.S. Bureau of Labor Statistics, May 2025).

Key Vocabulary

Bold, underlined words in the reading above are clickable too. Tap one to see its definition pop out. Or click or tap a card below to reveal the definition.

Analog Signaltap to flip
A signal that represents information as a smooth, continuously varying wave, like the grooves on a vinyl record.
Digital Signaltap to flip
A signal that represents information as a sequence of discrete values, usually 1s and 0s (bits).
Bittap to flip
The smallest unit of digital information, represented as either a 1 or a 0.
Noisetap to flip
Unwanted interference or errors that distort a signal during transmission.
Fiber Optic Cabletap to flip
A thin strand of glass that transmits digital information as pulses of light over long distances.
Total Internal Reflectiontap to flip
The way light bounces repeatedly off the inner walls of a fiber optic cable, keeping it traveling forward instead of escaping.
Radio Wavetap to flip
A low-frequency electromagnetic wave commonly used to transmit information wirelessly, such as for wifi or cell phones.
Encodetap to flip
To convert information, like sound or images, into a pattern a wave can carry.
Carrier Wavetap to flip
The steady wave a station broadcasts, which is then altered to carry a signal.
AM (Amplitude Modulation)tap to flip
Encoding a signal by varying the height, or amplitude, of a carrier wave.
FM (Frequency Modulation)tap to flip
Encoding a signal by varying the frequency of a carrier wave.

Explore More

Read

What's the Difference Between Analog and Digital Technology?

HowStuffWorks
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Radio Waves & Electromagnetic Fields

PhET Interactive Simulations
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Analog vs. digital signals

Khan Academy on YouTube
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Total Internal Reflection | GCSE Physics

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Chapter Review

1. What is the key difference between an analog signal and a digital signal?

2. Why does a streamed digital song usually sound just as clear after traveling across the world as it did at the source?

3. What allows light to travel for miles down a fiber optic cable without escaping the glass?

4. When you speak into a cell phone, what is the correct order of wave conversions that happens?

5. Why do old vinyl records develop crackles and pops that a digital music file does not?

Design the Experiment

California Science Test (CAST) Practice

CAST-Style Practice Item

A telecommunications company tested how clearly an analog radio signal and a digital radio signal could be received at increasing distances from the same transmitter. The results, measured as a percentage signal clarity, are shown in the table below.

Distance from Transmitter (km)Analog Signal Clarity (%)Digital Signal Clarity (%)
59599
207098
504095
1001090

Based on the data in the table, which claim about analog and digital signals is best supported by the evidence?

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