Continuing, Mit 👍
I’ll **continue seamlessly** from where we stopped and keep the **easy, exam-friendly language**.
---
#### Discrete-Time Signal
A discrete-time signal is defined only at specific, discrete time instants. These signals are usually obtained by sampling a continuous-time signal.
Example:
[
x[n] = \sin\left(\frac{\pi n}{4}\right)
]
Applications:
* Digital signal processing
* Computer-based systems
* Digital communication
---
### 3.2 Analog and Digital Signals
#### Analog Signal
An analog signal has **continuous amplitude** and **continuous time**. It can take infinite values within a range.
Examples:
* Microphone output voltage
* Temperature signal
* Radio signal
Advantages:
* Natural representation of physical quantities
Disadvantages:
* Sensitive to noise
* Difficult to store and process
#### Digital Signal
A digital signal has **discrete time** and **discrete amplitude** values.
Examples:
* Binary signals (0 and 1)
* Computer data
* Digital audio
Advantages:
* Noise immunity
* Easy storage and processing
* High reliability
---
### 3.3 Periodic and Aperiodic Signals
#### Periodic Signal
A signal is periodic if it repeats itself after a fixed interval of time (T).
Mathematically:
[
x(t) = x(t + T)
]
Examples:
* Sine wave
* Square wave
* Cosine wave
Applications:
* Power systems
* Communication systems
#### Aperiodic Signal
A signal that does not repeat itself is called aperiodic.
Examples:
* Speech signal
* ECG signal
* Transient signals
---
### 3.4 Even and Odd Signals
#### Even Signal
A signal is even if:
[
x(t) = x(-t)
]
Examples:
* Cosine function
* Symmetric signals
#### Odd Signal
A signal is odd if:
[
x(t) = -x(-t)
]
Examples:
* Sine function
Any signal can be represented as the sum of its even and odd components.
---
### 3.5 Energy and Power Signals
#### Energy Signal
A signal is an energy signal if it has finite energy.
Energy:
[
E = \int_{-\infty}^{\infty} |x(t)|^2 dt
]
Examples:
* Pulse signals
* Transient signals
#### Power Signal
A signal is a power signal if it has finite power.
Power:
[
P = \lim_{T \to \infty} \frac{1}{2T} \int_{-T}^{T} |x(t)|^2 dt
]
Examples:
* Sinusoidal signals
* Periodic signals
---
## 4. Basic Elementary Signals
Elementary signals are basic building blocks used to represent complex signals.
### 4.1 Unit Step Signal
The unit step signal is defined as:
[
u(t) =
\begin{cases}
1, & t \ge 0 \
0, & t < 0
\end{cases}
]
Applications:
* Switching systems
* Modeling sudden changes
---
### 4.2 Unit Impulse Signal
The unit impulse signal is denoted by ( \delta(t) ).
It has infinite amplitude at (t = 0) and zero elsewhere, with unit area.
Property:
[
\int_{-\infty}^{\infty} \delta(t) dt = 1
]
Applications:
* System analysis
* Sampling theory
---
### 4.3 Ramp Signal
The ramp signal is defined as:
[
r(t) = t u(t)
]
Applications:
* Motion control
* Modeling gradual changes
---
### 4.4 Exponential Signal
An exponential signal is of t