
- Signals & Systems Home
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- Even and Odd Signals
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- Properties of Discrete Time Unit Impulse Signal
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- Even and Odd Components of a Signal
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- What is a Linear System?
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- 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
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- 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
Fourier Transform of Complex and Real Functions
Fourier Transform
For a continuous-time function x(t), the Fourier transform of x(t) can be defined as,
$$\mathrm{X(\omega)\:=\:\int_{-\infty}^{\infty}x(t)e^{-j\omega t}dt}$$
And the inverse Fourier transform is defined as,
$$\mathrm{x(t)\:=\:\frac{1}{2\pi }\int_{-\infty}^{\infty}X(\omega)e^{j\omega t}d\omega}$$
Fourier Transform of Complex Functions
Consider a complex function x(t) that is represented as −
$$\mathrm{x(t)\:=\:x_{r}(t)\:+\:jx_{i}(t)}$$
Where, xr (t) and xi (t) are the real and imaginary parts of the function respectively.
Now, the Fourier transform of function x(t) is given by,
$$\mathrm{F\left [ x\left ( t \right ) \right ]\:=\:X\left ( \omega \right )\:=\:\int_{-\infty}^{\infty}x\left (t\right )e^{-j\omega t}dt\:=\:\int_{-\infty}^{\infty}\left [ x_{r}\left ( t \right )\:+\:jx_{i}\left ( t \right ) \right ]e^{-j\omega t}dt}$$
$$\mathrm{\Rightarrow\: X\left ( \omega \right )\:=\:\int_{-\infty}^{\infty}\left [ x_{r}\left ( t \right )\:+\:jx_{i} \left ( t \right ) \right ]\left [ \cos \omega t\:-\:j\sin\: \omega t \right ]dt}$$
$$\mathrm{\Rightarrow X\left ( \omega \right )\:=\:\int_{-\infty}^{\infty}\left [ x_{r}\left ( t \right )\cos \omega t\:+\:x_{i}\left ( t \right )\sin \omega t \right ]dt\:+\:j\int_{-\infty}^{\infty}\left [ x_{i}\left ( t \right )\cos \omega t\:-\:x_{r}\left ( t \right )\sin \omega t \right ]dt}$$
Therefore, the Fourier transform of complex function is,
$$\mathrm{X(\omega )\:=\:X_{r}\left ( \omega \right )\:+\:jX_{i}\left ( \omega \right )}$$
Where,
$$\mathrm{X_{r}(\omega )\:=\:\int_{-\infty}^{\infty}\left [ x_{r}\left ( t \right )\cos \omega t\:+\:x_{i}\left ( t \right )\sin \omega t \right ]dt}$$
And
$$\mathrm{X_{i}(\omega )\:=\:\int_{-\infty}^{\infty}\left [ x_{i}\left ( t \right )\cos \omega t\:-\:x_{r}\left ( t \right )\sin \omega t \right ]dt} $$
Inverse Fourier Transform of Complex Functions
From the definition of inverse Fourier transform, we have,
$$\mathrm{x\left ( t \right )\:=\:\frac{1}{2\pi }\int_{-\infty }^{\infty}X\left ( \omega \right )e^{j\omega t}d\omega}$$
$$\mathrm{\:=\:\frac{1}{2\pi }\int_{-\infty }^{\infty}\left [ X_{r}\left ( \omega \right )\:+\:jX_{i}\left ( \omega \right ) \right ]\left [ \cos \omega t\:+\:j\sin \omega t \right ]d\omega} $$
$$\mathrm{\Rightarrow\: x\left ( t \right )\:=\:\frac{1}{2\pi }\int_{-\infty }^{\infty}\left [ X_{r}\left ( \omega \right )\cos \omega t\:-\:X_{i}\left ( \omega \right )sin \omega t \right ]d\omega\:+\:j\frac{1}{2\pi }\int_{-\infty }^{\infty}\left [ X_{r}\left ( \omega \right )\sin \omega t\:+\:X_{i}\left ( \omega \right )cos \omega t \right ]d\omega}$$
Therefore,
$$\mathrm{x\left ( t \right )\:=\:x_{r}\left ( t \right )\:+\:jx_{i}(t)}$$
Where,
$$\mathrm{x_{r}\left ( t \right )\:=\:\frac{1}{2\pi }\int_{-\infty }^{\infty}\left [ X_{r}\left ( \omega \right )\cos \omega t\:-\:X_{i}\left ( \omega \right )sin \omega t \right ]d\omega}$$
And
$$\mathrm{ x_{i}\left ( t \right )\:=\:\frac{1}{2\pi }\int_{-\infty }^{\infty}\left [ X_{r}\left ( \omega \right )\sin \omega t\:+\:X_{i}\left ( \omega \right )cos \omega t \right ]d\omega}$$
Fourier Transform of Real Functions
Case I – When x(t) is a real function,
$$\mathrm{x_{i}\left ( t \right )\:=\:0\:\: and\:\: X\left ( -\omega \right )\:=\:X^{\ast }\left ( \omega \right )}$$
Hence, the Fourier transform of the real and imaginary parts of the function is,
$$\mathrm{X_{r}\left ( \omega \right )\:=\:\int_{-\infty }^{\infty}x\left ( t \right )\cos \omega t\: dt} $$
$$\mathrm{X_{i}\left ( \omega \right )\:=\:-\int_{-\infty }^{\infty}x\left ( t \right )\sin \omega t\: dt}$$
$$\mathrm{\therefore\: X\left ( \omega \right )\:=\:\int_{-\infty }^{\infty}x\left ( t \right )\cos \omega t\: dt\:-\:j\int_{-\infty }^{\infty}x\left ( t \right )\sin \omega t\: dt}$$
Case II – When x(t) is real and even,
$$\mathrm{X_{r}\left ( \omega \right )\:=\:\int_{-\infty }^{\infty}x\left ( t \right )\cos \omega t\: dt\:=\:2\int_{0 }^{\infty}x\left ( t \right )\cos \omega t\: dt} $$
$$\mathrm{X_{i}\left ( \omega \right )\:=\:0}$$
$$\mathrm{\therefore\: X\left ( \omega \right )\:=\:2\int_{0 }^{\infty}x\left ( t \right )\cos \omega t\: dt}$$
Case III – When x(t) is real and odd,
$$\mathrm{X_{r}\left ( \omega \right )\:=\:0}$$
$$\mathrm{X_{i}\left ( \omega \right )\:=\:jX\left ( \omega \right )\:=\:-j\int_{-\infty }^{\infty}x\left ( t \right )\sin \omega t\: dt}$$
$$\mathrm{\Rightarrow\: X_{i}\left ( \omega \right )\:=\:-j2\int_{0 }^{\infty}x\left ( t \right )\sin \omega t\: dt}$$
$$\mathrm{\therefore\: X\left ( \omega \right )\:=\:-j2\int_{0 }^{\infty}\:x\left ( t \right )\sin \omega t\: dt}$$
If xe (t) and xo (t) are the even and odd parts of the function x(t), then for a non-symmetric function, we have,
$$\mathrm{F\left [ x\left ( t \right ) \right ]\:=\:X\left ( \omega \right )\:=\:X_{r}\left ( \omega \right )\:+\:jX_{i} \left ( \omega \right )} $$
$$\mathrm{\Rightarrow X\left ( \omega \right )\:=\:\int_{-\infty }^{\infty}x_{e}\left ( t \right )\cos \omega t\: dt\:-\:j\int_{-\infty }^{\infty}x_{0}\left ( t \right )\sin \omega t\: dt\:=\:X_{e}\left ( \omega \right )\:+\:X_{0}\left ( \omega \right )}$$