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Time Scaling of Signal | Representation of Signals | Signals and Systems

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•
April 4, 2022
by
Ekeeda
YouTube video player
Time Scaling of Signal | Representation of Signals | Signals and Systems

TL;DR

Time scaling allows for the compression or expansion of signals, resulting in changes in frequency. Compression occurs when |alpha| < 1, while expansion occurs when |alpha| > 1.

Transcript

hello friends and today we are going to study a new topic that is a time scaling of signals basically time scaling means what time scaling means just a compression or expansion of signals compression means short you are going to decrease the time period and similarly in expansion case you are going to increase the time period if the time period is ... Read More

Key Insights

  • 👻 Time scaling allows for the compression or expansion of signals.
  • ❓ Compression occurs when |alpha| < 1, while expansion occurs when |alpha| > 1.
  • ⌛ Time scaling can be applied to both continuous time and discrete time signals.
  • 🧑‍🏭 The scaling factor alpha determines the extent of compression or expansion.
  • ⌛ Time scaling affects the time period and frequency of signals.
  • 🏍️ Compression increases the number of cycles within a given time period, while expansion decreases the number of cycles.
  • 🌍 Time scaling is useful in the digital world for various applications.

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Questions & Answers

Q: What is time scaling of signals?

Time scaling refers to the compression or expansion of signals, which affects their time period and frequency.

Q: How does the compression or expansion of signals take place?

Compression or expansion is achieved by multiplying the time axis by a scaling factor alpha, where |alpha| < 1 for compression and |alpha| > 1 for expansion.

Q: What are the necessary conditions for alpha in compression and expansion?

For compression, |alpha| must be less than 1, while for expansion, |alpha| must be greater than 1.

Q: Can time scaling be applied to both continuous time and discrete time signals?

Yes, time scaling can be applied to both continuous time and discrete time signals.

Summary & Key Takeaways

  • Time scaling is a method of compressing or expanding signals.

  • Compression occurs when the scaling factor alpha is less than 1.

  • Expansion occurs when the scaling factor alpha is greater than 1.


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