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- Fourier Series
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- Properties of Continuous-Time Fourier Series
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- Laplace Transform
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- Laplace Transforms Properties
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- 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
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- Z Transform
- Z-Transforms (ZT)
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- 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
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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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- 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
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- 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
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- Rayleigh’s Energy Theorem
Trigonometric Fourier Series Coefficients
The infinite series of sine and cosine terms of frequencies $0,\:\omega_{0},\:2\omega_{0},\:3\omega_{0},\:.... \:k\omega_{0}$ is known as trigonometric Fourier series and can written as,
$$\mathrm{x(t)\:=\:a_{0}\:+\:\sum_{n=1}^{\infty}a_{n}\:cos\:n\omega_{0}t\:+\:b_{n}\:sin\:n\:\omega_{0}\:t\:\:\dotso\: (1)}$$
Here, the constant $a_{0},\:a_{n}$ and $b_{n}$ are called trigonometric Fourier series coefficients.
Evaluation of a0
To evaluate the coefficient $a_{0}$, we shall integrate the equation (1) on both sides over one period, i.e.,
$$\mathrm{\int_{t_{0}}^{(t_{0}+T)}x(t)\:dt\:=\:a_{0}\int_{t_{0}}^{(t_{0}+T)}dt \:+\: \int_{t_{0}}^{(t_{0}+T)} \left(\sum_{n=1}^{\infty}a_{n}\:cos\:n\:\omega_{0} t \:+\:b_{n}\:sin\:n\:\omega_{0} t\right)dt}$$
$$\mathrm{\Rightarrow\:\int_{t_{0}}^{(t_{0}+T)}x(t)\:dt \:=\: a_{0}T \:+\: \sum_{n=1}^{\infty}a_{n} \int_{t_{0}}^{(t_{0}+T)}\:cos\:n\omega_{0} t\:dt+\sum_{n=1}^{\infty}b_{n}\int_{t_{0}}^{(t_{0}+T)}sin\:n\omega_{0} t\:dt \:\:\dotso\: (2)}$$
As we know that the net areas of sinusoids over complete periods are zero for any non-zero integer n and any time $t_{0}$. Therefore,
$$\mathrm{\int_{t_{0}}^{(t_{0}+T)}cos\:n\omega_{0} t\:dt \:=\: 0\:\:and\:\:\int_{t_{0}}^{(t_{0}+T)}sin\:n\omega_{0} t\:dt\:=\:0}$$
Hence, from equation (2), we get,
$$\mathrm{\int_{t_{0}}^{(t_{0}+T)}x(t)\:dt \:=\: a_{0}T}$$
$$\mathrm{\therefore\:a_{0} \:=\: \frac{1}{T}\int_{t_{0}}^{(t_{0}+T)}x(t)\:dt\:\:\dotso\: (3)}$$
Using equation (3), we can obtain the value of the Fourier coefficient $a_{0}$.
Evaluation of an
To evaluate the Fourier coefficient $a_{n}$, multiply both sides of the equation (1) by $cos\:m\omega_{0}t\:dt$ and then integrate over one period, i.e.,
$$\mathrm{\int_{t_{0}}^{(t_{0}+T)}x(t)\:cos\:m\:\omega_{0}\:t\:dt}$$
$$\mathrm{=\:a_{0}\int_{t_{0}}^{(t_{0}+T)}cos\:m\omega_{0}t\:dt \:+\: \sum_{n=1}^{\infty}a_{n}\int_{t_{0}}^{(t_{0}+T)} cos(n\omega_{0} t)\:cos(m\omega_{0} t)dt \:+\:\sum_{n=1}^{\infty}b_{n}\int_{t_{0}}^{(t_{0}+T)}sin(n\omega_{0} t)\:cos(m\omega_{0} t)dt\:\:\dotso\: (4)}$$
When m = n, then the first and third integrals in the equation (4) are equal to zero and the second integral is equal to $\left(\frac{T}{2}\right)$. Therefore,
$$\mathrm{\int_{t_{0}}^{(t_{0}+T)}x(t)\:cos\:m\omega_{0} t\:dt \:=\:a_{m}\left(\frac{T}{2}\right)}$$
Since m = n,
$$\mathrm{\therefore\:a_{n}\:=\:\frac{2}{T}\int_{t_{0}}^{(t_{0}+T)}x(t)\:cos\:n\omega_{0} t\:dt\:\:\dotso\: (5)}$$
Evaluation of bn
To evaluate the Fourier coefficient $b_{n}$, multiply both sides of the equation (1) by $sin\:m\omega_{0} t$and then integrate over one period, i.e.,
$$\mathrm{\int_{t_{0}}^{(t_{0}+T)}x(t)\:sin\:m\omega_{0}t\:dt}$$
$$\mathrm{=\:a_{0}\int_{t_{0}}^{(t_{0}+T)}sin\:m\omega_{0}t\:dt \:+\: \sum_{n=1}^{\infty}a_{n}\int_{t_{0}}^{(t_{0}+T)} cos(n\omega_{0} t)\:sin(m\omega_{0} t)dt \:+\: \sum_{n=1}^{\infty}b_{n}\int_{t_{0}}^{(t_{0}+T)}sin(n\omega_{0} t)\:sin(m\omega_{0} t)dt\:\:\dotso\: (6)}$$
When m = n, then the first and second integrals in the equation (6) are equal to zero and the third integral is equal to $\left(\frac{T}{2} \right)$. Therefore,
$$\mathrm{\int_{t_{0}}^{(t_{0}+T)}x(t)\:sin\:m\omega_{0} t\:dt\:=\:b_{m}\left(\frac{T}{2}\right)}$$
Since m = n,
$$\mathrm{\therefore\:b_{n}\:=\:\frac{2}{T}\int_{t_{0}}^{(t_{0}+T)}x(t)\:sin\:n\omega_{0} t\:dt\:\:\dotso\: (7)}$$