- Trending Categories
Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Signals and Systems: Multiplication of Signals
Multiplication of Continuous-Time Signals
The product of two continuous-time signals can be obtained by multiplying their values at every instant of time. Consider two continuous time signals 𝑥1(𝑡) and 𝑥2(𝑡) as shown in the figure.
Explanation
The multiplication of the two signals can be performed by considering different time intervals as follows −
For 𝟎 ≤ 𝒕 ≤ 𝟏: 𝑥1(𝑡) = 3 and 𝑥2(𝑡) = 2, thus
𝑥1(𝑡)𝑥2(𝑡) = 3 × 2 = 6
For 1≤ 𝒕 ≤ 𝟐: 𝑥1(𝑡) = 2 and 𝑥2(𝑡) = 2 + (𝑡 − 1), hence,
𝑥1(𝑡)𝑥2(𝑡) = 2[2 + (𝑡 − 1)] = 4 + 4(𝑡 − 1)
For 2≤ 𝒕 ≤ 𝟑: 𝑥1(𝑡) = 2 − (𝑡 − 2) and 𝑥2(𝑡) = 3, hence,
𝑥1(𝑡)𝑥2(𝑡) = [2 − (𝑡 − 2)]3 = 6 − 3(𝑡 − 2)
The multiplication of the signals (i.e., 𝑥1(𝑡)𝑥2(𝑡)) is shown in the figure.
Multiplication of Discrete-Time Signals
The multiplication of two discrete-time signals 𝑥1(𝑛) and 𝑥2(𝑛) can be performed by multiplying the corresponding sample values.
Consider two discrete time sequences 𝑥1(𝑛) and 𝑥2(𝑛) as follows −
𝑥1(𝑛) = {−3, 1, 5, 1, 2}
𝑥2(𝑛) = {2, −1, 1, 3, −3}
Then, the product of these two signal is given by,
𝑥1(𝑡)𝑥2(𝑡) = {−3 × 2, 1 × (−1), 5 × 1, 1 × 3, 2 × (−3)}
⟹ 𝑥1(𝑡)𝑥2(𝑡) = {−6, −1, 5, 3, −6}
- Related Articles
- Signals and Systems – Multiplication Property of Fourier Transform
- Signals and Systems – Classification of Signals
- Signals and Systems: Amplitude Scaling of Signals
- Signals and Systems – Time Scaling of Signals
- Signals and Systems: Addition and Subtraction of Signals
- Signals and Systems: Even and Odd Signals
- Signals and Systems: Periodic and Aperiodic Signals
- Signals and Systems: Energy and Power Signals
- Signals and Systems – Fourier Transform of Periodic Signals
- Signals and Systems – Properties of Even and Odd Signals
- Signals and Systems: Classification of Systems
- Signals and Systems: Real and Complex Exponential Signals
- Signals and Systems – Z-Transform of Sine and Cosine Signals
- Signals and Systems: Causal, Non-Causal, and Anti-Causal Signals
- Signals and Systems – Filter Characteristics of Linear Systems
