
- Signals & Systems Home
- Signals & Systems Overview
- Introduction
- Signals Basic Types
- Signals Classification
- Signals Basic Operations
- Systems Classification
- Types of Signals
- Representation of a Discrete Time Signal
- Continuous-Time Vs Discrete-Time Sinusoidal Signal
- Even and Odd Signals
- Properties of Even and Odd Signals
- Periodic and Aperiodic Signals
- Unit Step Signal
- Unit Ramp Signal
- Unit Parabolic Signal
- Energy Spectral Density
- Unit Impulse Signal
- Power Spectral Density
- Properties of Discrete Time Unit Impulse Signal
- Real and Complex Exponential Signals
- Addition and Subtraction of Signals
- Amplitude Scaling of Signals
- Multiplication of Signals
- Time Scaling of Signals
- Time Shifting Operation on Signals
- Time Reversal Operation on Signals
- Even and Odd Components of a Signal
- Energy and Power Signals
- Power of an Energy Signal over Infinite Time
- Energy of a Power Signal over Infinite Time
- Causal, Non-Causal, and Anti-Causal Signals
- Rectangular, Triangular, Signum, Sinc, and Gaussian Functions
- Signals Analysis
- Types of Systems
- What is a Linear System?
- Time Variant and Time-Invariant Systems
- Linear and Non-Linear Systems
- Static and Dynamic System
- Causal and Non-Causal System
- Stable and Unstable System
- Invertible and Non-Invertible Systems
- Linear Time-Invariant Systems
- Transfer Function of LTI System
- Properties of LTI Systems
- Response of LTI System
- Fourier Series
- Fourier Series
- Fourier Series Representation of Periodic Signals
- Fourier Series Types
- Trigonometric Fourier Series Coefficients
- Exponential Fourier Series Coefficients
- Complex Exponential Fourier Series
- Relation between Trigonometric & Exponential Fourier Series
- Fourier Series Properties
- Properties of Continuous-Time Fourier Series
- Time Differentiation and Integration Properties of Continuous-Time Fourier Series
- Time Shifting, Time Reversal, and Time Scaling Properties of Continuous-Time Fourier Series
- Linearity and Conjugation Property of Continuous-Time Fourier Series
- Multiplication or Modulation Property of Continuous-Time Fourier Series
- Convolution Property of Continuous-Time Fourier Series
- Convolution Property of Fourier Transform
- Parseval’s Theorem in Continuous Time Fourier Series
- Average Power Calculations of Periodic Functions Using Fourier Series
- GIBBS Phenomenon for Fourier Series
- Fourier Cosine Series
- Trigonometric Fourier Series
- Derivation of Fourier Transform from Fourier Series
- Difference between Fourier Series and Fourier Transform
- Wave Symmetry
- Even Symmetry
- Odd Symmetry
- Half Wave Symmetry
- Quarter Wave Symmetry
- Wave Symmetry
- Fourier Transforms
- Fourier Transforms Properties
- Fourier Transform – Representation and Condition for Existence
- Properties of Continuous-Time Fourier Transform
- Table of Fourier Transform Pairs
- Linearity and Frequency Shifting Property of Fourier Transform
- Modulation Property of Fourier Transform
- Time-Shifting Property of Fourier Transform
- Time-Reversal Property of Fourier Transform
- Time Scaling Property of Fourier Transform
- Time Differentiation Property of Fourier Transform
- Time Integration Property of Fourier Transform
- Frequency Derivative Property of Fourier Transform
- Parseval’s Theorem & Parseval’s Identity of Fourier Transform
- Fourier Transform of Complex and Real Functions
- Fourier Transform of a Gaussian Signal
- Fourier Transform of a Triangular Pulse
- Fourier Transform of Rectangular Function
- Fourier Transform of Signum Function
- Fourier Transform of Unit Impulse Function
- Fourier Transform of Unit Step Function
- Fourier Transform of Single-Sided Real Exponential Functions
- Fourier Transform of Two-Sided Real Exponential Functions
- Fourier Transform of the Sine and Cosine Functions
- Fourier Transform of Periodic Signals
- Conjugation and Autocorrelation Property of Fourier Transform
- Duality Property of Fourier Transform
- Analysis of LTI System with Fourier Transform
- Relation between Discrete-Time Fourier Transform and Z Transform
- Convolution and Correlation
- Convolution in Signals and Systems
- Convolution and Correlation
- Correlation in Signals and Systems
- System Bandwidth vs Signal Bandwidth
- Time Convolution Theorem
- Frequency Convolution Theorem
- Energy Spectral Density and Autocorrelation Function
- Autocorrelation Function of a Signal
- Cross Correlation Function and its Properties
- Detection of Periodic Signals in the Presence of Noise (by Autocorrelation)
- Detection of Periodic Signals in the Presence of Noise (by Cross-Correlation)
- Autocorrelation Function and its Properties
- PSD and Autocorrelation Function
- Sampling
- Signals Sampling Theorem
- Nyquist Rate and Nyquist Interval
- Signals Sampling Techniques
- Effects of Undersampling (Aliasing) and Anti Aliasing Filter
- Different Types of Sampling Techniques
- Laplace Transform
- Laplace Transforms
- Common Laplace Transform Pairs
- Laplace Transform of Unit Impulse Function and Unit Step Function
- Laplace Transform of Sine and Cosine Functions
- Laplace Transform of Real Exponential and Complex Exponential Functions
- Laplace Transform of Ramp Function and Parabolic Function
- Laplace Transform of Damped Sine and Cosine Functions
- Laplace Transform of Damped Hyperbolic Sine and Cosine Functions
- Laplace Transform of Periodic Functions
- Laplace Transform of Rectifier Function
- Laplace Transforms Properties
- Linearity Property of Laplace Transform
- Time Shifting Property of Laplace Transform
- Time Scaling and Frequency Shifting Properties of Laplace Transform
- Time Differentiation Property of Laplace Transform
- Time Integration Property of Laplace Transform
- Time Convolution and Multiplication Properties of Laplace Transform
- Initial Value Theorem of Laplace Transform
- Final Value Theorem of Laplace Transform
- Parseval's Theorem for Laplace Transform
- Laplace Transform and Region of Convergence for right sided and left sided signals
- Laplace Transform and Region of Convergence of Two Sided and Finite Duration Signals
- Circuit Analysis with Laplace Transform
- Step Response and Impulse Response of Series RL Circuit using Laplace Transform
- Step Response and Impulse Response of Series RC Circuit using Laplace Transform
- Step Response of Series RLC Circuit using Laplace Transform
- Solving Differential Equations with Laplace Transform
- Difference between Laplace Transform and Fourier Transform
- Difference between Z Transform and Laplace Transform
- Relation between Laplace Transform and Z-Transform
- Relation between Laplace Transform and Fourier Transform
- Laplace Transform – Time Reversal, Conjugation, and Conjugate Symmetry Properties
- Laplace Transform – Differentiation in s Domain
- Laplace Transform – Conditions for Existence, Region of Convergence, Merits & Demerits
- Z Transform
- Z-Transforms (ZT)
- Common Z-Transform Pairs
- Z-Transform of Unit Impulse, Unit Step, and Unit Ramp Functions
- Z-Transform of Sine and Cosine Signals
- Z-Transform of Exponential Functions
- Z-Transforms Properties
- Properties of ROC of the Z-Transform
- Z-Transform and ROC of Finite Duration Sequences
- Conjugation and Accumulation Properties of Z-Transform
- Time Shifting Property of Z Transform
- Time Reversal Property of Z Transform
- Time Expansion Property of Z Transform
- Differentiation in z Domain Property of Z Transform
- Initial Value Theorem of Z-Transform
- Final Value Theorem of Z Transform
- Solution of Difference Equations Using Z Transform
- Long Division Method to Find Inverse Z Transform
- Partial Fraction Expansion Method for Inverse Z-Transform
- What is Inverse Z Transform?
- Inverse Z-Transform by Convolution Method
- Transform Analysis of LTI Systems using Z-Transform
- Convolution Property of Z Transform
- Correlation Property of Z Transform
- Multiplication by Exponential Sequence Property of Z Transform
- Multiplication Property of Z Transform
- Residue Method to Calculate Inverse Z Transform
- System Realization
- Cascade Form Realization of Continuous-Time Systems
- Direct Form-I Realization of Continuous-Time Systems
- Direct Form-II Realization of Continuous-Time Systems
- Parallel Form Realization of Continuous-Time Systems
- Causality and Paley Wiener Criterion for Physical Realization
- Discrete Fourier Transform
- Discrete-Time Fourier Transform
- Properties of Discrete Time Fourier Transform
- Linearity, Periodicity, and Symmetry Properties of Discrete-Time Fourier Transform
- Time Shifting and Frequency Shifting Properties of Discrete Time Fourier Transform
- Inverse Discrete-Time Fourier Transform
- Time Convolution and Frequency Convolution Properties of Discrete-Time Fourier Transform
- Differentiation in Frequency Domain Property of Discrete Time Fourier Transform
- Parseval’s Power Theorem
- Miscellaneous Concepts
- What is Mean Square Error?
- What is Fourier Spectrum?
- Region of Convergence
- Hilbert Transform
- Properties of Hilbert Transform
- Symmetric Impulse Response of Linear-Phase System
- Filter Characteristics of Linear Systems
- Characteristics of an Ideal Filter (LPF, HPF, BPF, and BRF)
- Zero Order Hold and its Transfer Function
- What is Ideal Reconstruction Filter?
- What is the Frequency Response of Discrete Time Systems?
- Basic Elements to Construct the Block Diagram of Continuous Time Systems
- BIBO Stability Criterion
- BIBO Stability of Discrete-Time Systems
- Distortion Less Transmission
- Distortionless Transmission through a System
- Rayleigh’s Energy Theorem
Properties of Even and Odd Signals
Even Signal
A signal is said to be an even signal if it is symmetrical about the vertical axis or time origin, i.e.,
$$\mathrm{x(t) \:=\: x(-t);\: \text{ for all } t \: \dotso\: \text{ continuous time signal}}$$
$$\mathrm{x(n) \:=\: x(-n);\: \text{ for all } n \: \dotso\: \text{ discrete time signal}}$$
Odd Signal
A signal is said to be an odd signal if it is anti-symmetrical about the vertical axis, i.e.,
$$\mathrm{x(-t) \:=\: -x(t);\: \text{ for all } t \: \dotso\: \text{ continuous time signal}}$$
$$\mathrm{x(-n) \:=\: -x(n);\: \text{ for all } n \: \dotso\: \text{ discrete time signal}}$$
Properties of Even and Odd Signals
Addition and Subtraction Properties of Even and Odd Signals
-
The addition or subtraction of two odd signals is also an odd signal, i.e.,
odd signal ± odd signal = odd signal
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The addition or subtraction of two even signals is also an even signal, i.e.,
even signal ± even signal = even signal
-
The addition or subtraction of an odd signal and an even signal is a signal which is neither even nor odd, i.e.,
odd signal ± even signal = neither even nor odd
-
The addition of the dc component and even signal is an even signal, i.e.,
DC component + even signal = even signal
-
The addition of the dc component and odd signal is a signal that is neither even nor odd, i.e.,
DC component + odd signal = neither even nor odd
Multiplication Properties of Even and Odd Signals
-
The product of two even signals is also an even signal, i.e.,
even signal × even signal = even signal
-
The product of two odd signals is an even signal, i.e.,
odd signal × odd signal = even signal
-
The product of an even signal and an odd signal (or an odd signal and an even signal) is an odd signal, i.e.,
odd signal × even signal = even signal × odd signal = odd signal
Division Properties of Even and Odd Signals
1. The division of two odd signals results an even signal, i.e.,
$$\mathrm{\frac{odd\: signal}{odd \: signal} \:=\: even\: signal}$$
2. The division of two even signals results an even signal, i.e.,
$$\mathrm{\frac{even\: signal}{even \: signal} \:=\: even\: signal}$$
3. The division of an odd signal by an even signal results an odd signal, i.e.,
$$\mathrm{\frac{even\: signal}{odd \: signal} \:=\: odd\: signal}$$
Differentiation Properties of Even and Odd Signals
1. The differentiation of an odd signal is an even signal, i.e.,
$$\mathrm{\frac{d}{dt}\left( odd\:signal \right) \:=\: even\: signal}$$
2. The differentiation of an even signal is an odd signal, i.e.,
$$\mathrm{\frac{d}{dt}\left(even\:signal \right) \:=\: odd\: signal}$$
Integration Properties of Even and Odd Signals
1. The integration of an odd signal is an even signal, i.e.,
$$\mathrm{\int \left( odd\: signal \right) \:=\: even\: signal}$$
2. The integration of an even signal is an odd signal, i.e.,
$$\mathrm{\int \left( even\: signal \right) \:=\: odd\: signal}$$
Important Expressions for Even and Odd Signals
Some important expressions for the continuous-time and discrete-time even and odd signals are given in the table below −
Continuous-Time Signal | Discrete-Time Signal |
---|---|
$\mathrm{\int_{-\infty }^{\infty }\:x_{0}\left ( t \right )dt \:=\: 0}$ | $\mathrm{\sum_{n \:=\: -\infty}^{\infty} \: x_{0}\:\left( n \right ) \:=\: 0}$ |
$\mathrm{\int_{-\infty }^{\infty }\:x_{e} \:\left (t \right)dt \:=\: 2\int_{0}^{\infty }\:x_{e}\left( t \right)dt}$ | $\mathrm{\sum_{n \:=\: -\infty}^{\infty }\: x_{e}\left( n \right) \:=\: x\left( 0 \right) \:+\: 2\sum_{n \:=\:1}^{\infty }\: x_{e}(n)}$ |
$\mathrm{\int_{-\infty }^{\infty }\:x_{e}\left ( t \right ).\:x_{0}\left ( t \right )dt \:=\: 0}$ | $\mathrm{\sum_{n \:=\: -\infty }^{\infty }\: x_{e}\left ( n \right ).\: x_{0}\left ( n \right ) \:=\: 0}$ |
$\mathrm{\int_{-\infty }^{\infty }\:x^{2}\left ( t \right )dt \:=\: \int_{-\infty }^{\infty }\: x_{e}^{2}\left ( t \right )dt\: +\: \int_{-\infty }^{\infty }\: x_{0}^{2}\left ( t \right )dt}$ | $\mathrm{\sum_{n \:=\: -\infty }^{\infty }\:x^{2}\left ( n \right )dt \:=\: \sum_{n \:=\:-\infty }^{\infty }x_{e}^{2}(n)\: +\: \sum_{n \:=\: -\infty }^{\infty }x_{0}^{2}(n)}$ |