Proof of First Difference Property for Fourier SeriesTrignometric Fourier series representation of a continous time signalProof of properties of Fourier series in CTDetermining Fourier Series coefficient for Discrete timeFinding Fourier Series CoefficientsHow to find Fourier Series CoefficientsWhat is the time-integration property in the Fourier series analysis?Basis signals for the discrete-time Fourier SeriesRationally related frequencies and the Fourier Series representationUniqueness of Fourier Series Representation and the Fourier Transform of Periodic SignalsProof of the convolution property of Fourier Series in continuous time
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Proof of First Difference Property for Fourier Series
Trignometric Fourier series representation of a continous time signalProof of properties of Fourier series in CTDetermining Fourier Series coefficient for Discrete timeFinding Fourier Series CoefficientsHow to find Fourier Series CoefficientsWhat is the time-integration property in the Fourier series analysis?Basis signals for the discrete-time Fourier SeriesRationally related frequencies and the Fourier Series representationUniqueness of Fourier Series Representation and the Fourier Transform of Periodic SignalsProof of the convolution property of Fourier Series in continuous time
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$begingroup$
I am having trouble with deriving a proof for the first difference property for the Fourier Series.
Here is my attempt at the derivation:
$$
y[n] = x[n] - x[n-1]
$$
Fourier Series Representation:
$$
a_k - a_ke^-jkomega_0
$$
Fourier Series:
$$
y[n] = sum_k=<N>(a_k-a_ke^-jkomega_0)e^jkomega_0n
$$
I have set up the summation for the Fourier Series, however I have been having difficulty to compute the summation.
The summation should equal this:
$$
a_k(1-e^-jkomega_0)
$$
How would I evaluate the summation?
discrete-signals fourier-series
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add a comment |
$begingroup$
I am having trouble with deriving a proof for the first difference property for the Fourier Series.
Here is my attempt at the derivation:
$$
y[n] = x[n] - x[n-1]
$$
Fourier Series Representation:
$$
a_k - a_ke^-jkomega_0
$$
Fourier Series:
$$
y[n] = sum_k=<N>(a_k-a_ke^-jkomega_0)e^jkomega_0n
$$
I have set up the summation for the Fourier Series, however I have been having difficulty to compute the summation.
The summation should equal this:
$$
a_k(1-e^-jkomega_0)
$$
How would I evaluate the summation?
discrete-signals fourier-series
New contributor
user2443636 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I am having trouble with deriving a proof for the first difference property for the Fourier Series.
Here is my attempt at the derivation:
$$
y[n] = x[n] - x[n-1]
$$
Fourier Series Representation:
$$
a_k - a_ke^-jkomega_0
$$
Fourier Series:
$$
y[n] = sum_k=<N>(a_k-a_ke^-jkomega_0)e^jkomega_0n
$$
I have set up the summation for the Fourier Series, however I have been having difficulty to compute the summation.
The summation should equal this:
$$
a_k(1-e^-jkomega_0)
$$
How would I evaluate the summation?
discrete-signals fourier-series
New contributor
user2443636 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I am having trouble with deriving a proof for the first difference property for the Fourier Series.
Here is my attempt at the derivation:
$$
y[n] = x[n] - x[n-1]
$$
Fourier Series Representation:
$$
a_k - a_ke^-jkomega_0
$$
Fourier Series:
$$
y[n] = sum_k=<N>(a_k-a_ke^-jkomega_0)e^jkomega_0n
$$
I have set up the summation for the Fourier Series, however I have been having difficulty to compute the summation.
The summation should equal this:
$$
a_k(1-e^-jkomega_0)
$$
How would I evaluate the summation?
discrete-signals fourier-series
discrete-signals fourier-series
New contributor
user2443636 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
user2443636 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 6 hours ago
Matt L.
52.9k2 gold badges39 silver badges99 bronze badges
52.9k2 gold badges39 silver badges99 bronze badges
New contributor
user2443636 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 8 hours ago
user2443636user2443636
61 bronze badge
61 bronze badge
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user2443636 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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user2443636 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
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1 Answer
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$begingroup$
You have the result already written down in your question. If $a_k$ are the Fourier coefficients of $x[n]$, then your third formula is the Fourier series of $y[n]=x[n]-x[n-1]$. So the Fourier series coefficients of $y[n]$ are
$$b_k=a_k-a_ke^-jkomega_0=a_k(1-e^-jkomega_0)$$
meaning that
$$y[n]=sum_k=0^N-1b_ke^jomega_0 nk,qquadomega_0=2pi/N$$
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1 Answer
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1 Answer
1
active
oldest
votes
active
oldest
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active
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votes
$begingroup$
You have the result already written down in your question. If $a_k$ are the Fourier coefficients of $x[n]$, then your third formula is the Fourier series of $y[n]=x[n]-x[n-1]$. So the Fourier series coefficients of $y[n]$ are
$$b_k=a_k-a_ke^-jkomega_0=a_k(1-e^-jkomega_0)$$
meaning that
$$y[n]=sum_k=0^N-1b_ke^jomega_0 nk,qquadomega_0=2pi/N$$
$endgroup$
add a comment |
$begingroup$
You have the result already written down in your question. If $a_k$ are the Fourier coefficients of $x[n]$, then your third formula is the Fourier series of $y[n]=x[n]-x[n-1]$. So the Fourier series coefficients of $y[n]$ are
$$b_k=a_k-a_ke^-jkomega_0=a_k(1-e^-jkomega_0)$$
meaning that
$$y[n]=sum_k=0^N-1b_ke^jomega_0 nk,qquadomega_0=2pi/N$$
$endgroup$
add a comment |
$begingroup$
You have the result already written down in your question. If $a_k$ are the Fourier coefficients of $x[n]$, then your third formula is the Fourier series of $y[n]=x[n]-x[n-1]$. So the Fourier series coefficients of $y[n]$ are
$$b_k=a_k-a_ke^-jkomega_0=a_k(1-e^-jkomega_0)$$
meaning that
$$y[n]=sum_k=0^N-1b_ke^jomega_0 nk,qquadomega_0=2pi/N$$
$endgroup$
You have the result already written down in your question. If $a_k$ are the Fourier coefficients of $x[n]$, then your third formula is the Fourier series of $y[n]=x[n]-x[n-1]$. So the Fourier series coefficients of $y[n]$ are
$$b_k=a_k-a_ke^-jkomega_0=a_k(1-e^-jkomega_0)$$
meaning that
$$y[n]=sum_k=0^N-1b_ke^jomega_0 nk,qquadomega_0=2pi/N$$
answered 6 hours ago
Matt L.Matt L.
52.9k2 gold badges39 silver badges99 bronze badges
52.9k2 gold badges39 silver badges99 bronze badges
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