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- Fourier Series
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- Fourier Transform of Complex and Real Functions
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- Laplace Transform
- Laplace Transforms
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- Difference between Laplace Transform and Fourier Transform
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- Relation between Laplace Transform and Fourier Transform
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- Z Transform
- Z-Transforms (ZT)
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- Long Division Method to Find Inverse Z Transform
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- What is Inverse Z Transform?
- Inverse Z-Transform by Convolution Method
- Transform Analysis of LTI Systems using Z-Transform
- Convolution Property of Z Transform
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- 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
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- Discrete Fourier Transform
- Discrete-Time Fourier Transform
- Properties of Discrete Time Fourier Transform
- Linearity, Periodicity, and Symmetry Properties of Discrete-Time Fourier Transform
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- 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
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- Filter Characteristics of Linear Systems
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- Zero Order Hold and its Transfer Function
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- 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
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- Rayleigh’s Energy Theorem
Fourier Transform of the Sine and Cosine Functions
Fourier Transform
The Fourier transform of a continuous-time function $x(t)$ can be defined as,
$$\mathrm{x(\omega) \:=\: \int_{-\infty}^{\infty}x(t)e^{-j\omega t }dt}$$
Fourier Transform of Sine Function
Let
$$\mathrm{x(t)\:=\:sin\:\omega_{0} t}$$
From Euler's rule, we have,
$$\mathrm{x(t)\:=\:sin\:\omega_{0} t\:=\:\left[\frac{ e^{j\omega_{0} t}\:-\: e^{-j\omega_{0} t}}{2j} \right]}$$
Then, from the definition of Fourier transform, we have,
$$\mathrm{F[sin\:\omega_{0} t]\:=\:X(\omega)\:=\:\int_{-\infty}^{\infty}x(t)e^{-j\omega t}dt\:=\: \int_{-\infty}^{\infty} sin\:\omega_{0}\: t\: e^{-j\omega t}dt}$$
$$\mathrm{ \Rightarrow\:X(\omega)\:=\:\int_{-\infty}^{\infty}\left[\frac{e^{j\omega_{0} t}\:-\:e^{-j\omega_{0} t}}{2j} \right] e^{-j\omega t}dt}$$
$$\mathrm{\Rightarrow\:X(\omega)\:=\:\frac{1}{2j}\left[\int_{-\infty}^{\infty}e^{j\omega_{0} t}e^{-j\omega t} dt \:-\: \int_{-\infty}^{\infty} e^{-j\omega_{0} t}e^{-j\omega t} dt\right]}$$
$$\mathrm{=\:\frac{1}{2j}\{F[e^{j\omega_{0} t}] \:-\: F[e^{-j\omega_{0} t}]\}}$$
Since, the Fourier transform of complex exponential function is given by,
$$\mathrm{F[e^{j\omega_{0} t}]\:=\:2\pi\delta(\omega\:-\:\omega_{0})\:\:and\:\:F[e^{-j\omega_{0} t}]\:=\: 2\pi\delta (\omega \:+\:\omega_{0})}$$
$$\mathrm{\therefore\:X(\omega)\:=\:\frac{1}{2j}[2\pi\delta(\omega\:-\:\omega_{0})\:-\:2\pi\delta(\omega \:+\: \omega_{0}) ] }$$
$$\mathrm{\Rightarrow\:X(\omega)\:=\:-j\pi[\delta(\omega \:-\:\omega_{0})\:-\:\delta(\omega\:+\:\omega_{0})]}$$
Therefore, the Fourier transform of the sine wave is,
$$\mathrm{F[sin\:\omega_{0}\:t]\:=\:-j\pi[\delta(\omega\:-\:\omega_{0})\:-\:\delta(\omega\:+\:\omega_{0})]}$$
Or, it can also be represented as,
$$\mathrm{sin\:\omega_{0}\:t\overset{FT}{\leftrightarrow}\:-\:j\pi[\delta(\omega \:-\: \omega_{0}) \:-\: \delta(\omega \:+\: \omega_{0})]}$$
The graphical representation of the sine function with its magnitude and phase spectra is shown in Figure-1.

Fourier Transform of Cosine Function
Given
$$\mathrm{x(t) \:=\: cos\:\omega_{0}t}$$
From Euler's rule, we have,
$$\mathrm{cos\:\omega_{0}t\:=\:\left[\frac{e^{j\omega_{0} t}\:+\:e^{-j\omega_{0} t}}{2}\right]}$$
Then, from the definition of Fourier transform, we have,
$$\mathrm{F[cos\:\omega_{0} t]\:=\:X(\omega)\:=\:\int_{-\infty}^{\infty}x(t)e^{-j\omega t}dt \:=\: \int_{-\infty}^{\infty} cos\:\omega_{0} t\: e^{-j\omega t}dt}$$
$$\mathrm{\Rightarrow\:X(\omega)\:=\:\int_{-\infty}^{\infty}\left[\frac{e^{j\omega_{0} t}\:+\:e^{-j\omega_{0} t}}{2} \right]e^{-j\omega t}dt}$$
$$\mathrm{\Rightarrow\:X(\omega)\:=\:\frac{1}{2}\left[ \int_{-\infty}^{\infty}e^{j\omega_{0} t}e^{-j\omega t} dt\:+\: \int_{-\infty}^{\infty}e^{-j\omega_{0} t}e^{-j\omega t} dt \right]}$$
$$\mathrm{=\:\frac{1}{2}\{F[e^{j\omega_{0} t}]\:+\: F[e^{-j\omega_{0} t}]\}}$$
$$\mathrm{\Rightarrow\:X(\omega)\:=\:\frac{1}{2}[2\pi\delta(\omega\:-\:\omega_{0})\:+\:2\pi\delta(\omega\:+\:\omega_{0})] }$$
$$\mathrm{\Rightarrow\:X(\omega)\:=\:\pi[\delta(\omega\:-\:\omega_{0})\:+\:\delta(\omega\:+\:\omega_{0})]}$$
Therefore, the Fourier transform of cosine wave function is,
$$\mathrm{F[cos\:\omega_{0} t]\:=\:\pi[\delta(\omega\:-\:\omega_{0})\:+\:\delta(\omega\:+\:\omega_{0})]}$$
Or, it can also be represented as,
$$\mathrm{cos\:\omega_{0} t\overset{FT}{\leftrightarrow}\pi[\delta(\omega\:-\:\omega_{0})\:+\:\delta(\omega\:+\:\omega_{0} )]}$$
The graphical representation of the cosine wave signal with its magnitude and phase spectra is shown in Figure-2.
