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Annotation 7607211396364

$ ledger -f ledger.dat balance

 $-23.00 Assets:Checking $23.00 Expenses:Pacific Bell
-------------------- 0
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Ledger: Command-Line Accounting
rogram wishes to see them: 2004/09/29 Pacific Bell Expenses:Pacific Bell $23.00 Assets:Checking The account balances and registers in this file, if saved as ledger.dat, could be reported using: <span>$ ledger -f ledger.dat balance $-23.00 Assets:Checking $23.00 Expenses:Pacific Bell -------------------- 0 Or $ ledger -f ledger.dat register checking 04-Sep-29 Pacific Bell Assets:Checking $-23.00 $-23.00 And even: $ ledger -f ledger.dat register Bell 04-Sep-29 Pacific Bell Expenses:Pacific



Annotation 7607215590668

Definition of a signal
A signal is a function that represents the relationship between time and the corresponding value, which is just the information carried by the signal.
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Flashcard 7607217425676

Question
A signal is [...] that represents the relationship between time and the corresponding value, which is just the information carried by the signal.
Answer
a function

statusnot learnedmeasured difficulty37% [default]last interval [days]               
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Definition of a signal
A signal is a function that represents the relationship between time and the corresponding value, which is just the information carried by the signal.






Flashcard 7607220309260

Question
A signal is a function that represents the relationship [...], which is just the information carried by the signal.
Answer
between time and the corresponding value

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Definition of a signal
A signal is a function that represents the relationship between time and the corresponding value, which is just the information carried by the signal.






Annotation 7607221882124

Definition of Information and Redundancy

Any message can be considered to contain two things:

  • Information, which cannot be removed without harming the integrity of the message.
  • Redundancy, which can be removed without harming the integrity of the message.
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Flashcard 7607223717132

Question

Any message can be considered to contain two things:

  • [...], which cannot be removed without harming the integrity of the message.
  • [...], which can be removed without harming the integrity of the message.
Answer

  • Information.
  • Redundancy.

statusnot learnedmeasured difficulty37% [default]last interval [days]               
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Definition of Information and Redundancy
Any message can be considered to contain two things: Information, which cannot be removed without harming the integrity of the message. Redundancy, which can be removed without harming the integrity of the message.






Flashcard 7607226338572

Question

Any message can be considered to contain two things:

  • Information, which [...].
  • Redundancy, which [...].
Answer
  • Information, which cannot be removed without harming the integrity of the message.
  • Redundancy, which can be removed without harming the integrity of the message.

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Definition of Information and Redundancy
Any message can be considered to contain two things: Information, which cannot be removed without harming the integrity of the message. Redundancy, which can be removed without harming the integrity of the message.






Annotation 7607228697868

Quantifying Information

The amount of information in a message can be quantified in bits. If there is an event which has \(N\) results, then the message that conveys the result of the event contains \(k=\log_{2}(N)\) bits information.

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Flashcard 7607230532876

Question

The amount of information in a message can be quantified in bits. If there is an event which has \(N\) results, then the message that conveys the result of the event contains [...] bits information.

Answer
\(k=\log_{2}(N)\)

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Quantifying Information
The amount of information in a message can be quantified in bits. If there is an event which has \(N\) results, then the message that conveys the result of the event contains \(k=\log_{2}(N)\) bits information.






Annotation 7607232105740

Definition of analogue signal
An analogue signal \(v_{m}(t)\) is a signal which is continuous in value and continuous in time.
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Flashcard 7607234727180

Question
An analogue signal \(v_{m}(t)\) is a signal which is [...].
Answer
continuous in value and continuous in time

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Definition of analogue signal
An analogue signal \(v_{m}(t)\) is a signal which is continuous in value and continuous in time.






Annotation 7607236300044

Definition of a normal signal
A normal signal \(v(nT_{s})\) is a signal which is continuous in value, but discrete in time.
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Flashcard 7607238135052

Question
A normal signal \(v(nT_{s})\) is a signal which is [...].
Answer
continuous in value, but discrete in time

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Definition of a normal signal
A normal signal \(v(nT_{s})\) is a signal which is continuous in value, but discrete in time.






Annotation 7607239707916

Definition of a digital signal
A digital signal \(v_{q}(nT_{s})\) is a signal which is discrete in value and discrete in time.
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Flashcard 7607241542924

Question
A digital signal \(v_{q}(nT_{s})\) is a signal which is [...].
Answer
discrete in value and discrete in time

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Definition of a digital signal
A digital signal \(v_{q}(nT_{s})\) is a signal which is discrete in value and discrete in time.






Annotation 7607250193676

Software : Bilanzierung von Software nach OR, Swiss GAAP FER und IFRS (ganzer Artikel)
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Software: Bilanzierung von Software nach OR, Swiss GAAP FER und IFRS
ngswesen Buchführung Jahresabschluss Lohnbuchhaltung Revision Buchführung Alle Beiträge Alle Arbeitshilfen Alle Fachexperten Software: Bilanzierung von Software nach OR, Swiss GAAP FER und IFRS <span>Software: Bilanzierung von Software nach OR, Swiss GAAP FER und IFRS Entscheidungen im Zusammenhang mit der Umsetzung von IT-Projekten bzw. IT-Investitionen gehören nicht nur in den operativen Geschäftsbereichen und im Management zu den wichtigsten Entsc



Annotation 7607261465868

Definition of Information Entropy

The entropy \(H\) of a source is equal to the expected (i.e. average) information content of its messages:

\(\displaystyle H=\sum\limits^{N}_{i=1}p_{i}k_{i}=\sum\limits^{N}_{i=1}p_{i}\log_{2}(1/p_{i})\)
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Flashcard 7607264349452

Question
The entropy \(H\) of a source is equal to the expected (i.e. average) information content of its messages: [...]
Answer

\(\displaystyle H=\sum\limits^{N}_{i=1}p_{i}k_{i}=\sum\limits^{N}_{i=1}p_{i}\log_{2}(1/p_{i})\)


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Definition of Information Entropy
The entropy \(H\) of a source is equal to the expected (i.e. average) information content of its messages: \(\displaystyle H=\sum\limits^{N}_{i=1}p_{i}k_{i}=\sum\limits^{N}_{i=1}p_{i}\log_{2}(1/p_{i})\)






Flashcard 7607266708748

Question

The entropy \(H\) of a source is equal to [...]:

\(\displaystyle H=\sum\limits^{N}_{i=1}p_{i}k_{i}=\sum\limits^{N}_{i=1}p_{i}\log_{2}(1/p_{i})\)

Answer
the expected (i.e. average) information content of its messages

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Definition of Information Entropy
The entropy \(H\) of a source is equal to the expected (i.e. average) information content of its messages: \(\displaystyle H=\sum\limits^{N}_{i=1}p_{i}k_{i}=\sum\limits^{N}_{i=1}p_{i}\log_{2}(1/p_{i})\)






Annotation 7607269592332

Definition of Fourier Transform
对一个满足分段连续的函数\(f(t)\)做傅里叶变换，可以将其从时域（\(t\)）转换到频域（\(\omega\)），它的定义为：\(\displaystyle {\hat{f}(\omega)=\mathcal {F}}[f(t)]=\int _{-\infty}^{+\infty }f(t)e^{-i\omega t}\,\mathrm {d} t\)
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Flashcard 7607272213772

Question
对一个满足分段连续的函数\(f(t)\)做傅里叶变换，可以将其从时域（\(t\)）转换到频域（\(\omega\)），它的定义为：[...]
Answer
\(\displaystyle {\hat{f}(\omega)=\mathcal {F}}[f(t)]=\int _{-\infty}^{+\infty }f(t)e^{-i\omega t}\,\mathrm {d} t\)

statusnot learnedmeasured difficulty37% [default]last interval [days]               
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Definition of Fourier Transform
对一个满足分段连续的函数\(f(t)\)做傅里叶变换，可以将其从时域（\(t\)）转换到频域（\(\omega\)），它的定义为：\(\displaystyle {\hat{f}(\omega)=\mathcal {F}}[f(t)]=\int _{-\infty}^{+\infty }f(t)e^{-i\omega t}\,\mathrm {d} t\)






Annotation 7607273786636

Definition of Inverse Fourier Transform
傅里叶逆变换：输入频域函数\(\hat{f}(\omega)\)，输出时域函数\(f(t)\)：\(\displaystyle f(t)=\frac{1}{2\pi}\int^{+\infty}_{-\infty}\hat{f}(\omega)e^{j\omega t}d\omega\)
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Flashcard 7607277980940

Question
傅里叶逆变换：输入频域函数\(\hat{f}(\omega)\)，输出时域函数\(f(t)\)：[...]
Answer
\(\displaystyle f(t)=\frac{1}{2\pi}\int^{+\infty}_{-\infty}\hat{f}(\omega)e^{j\omega t}d\omega\)

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Definition of Inverse Fourier Transform
傅里叶逆变换：输入频域函数\(\hat{f}(\omega)\)，输出时域函数\(f(t)\)：\(\displaystyle f(t)=\frac{1}{2\pi}\int^{+\infty}_{-\infty}\hat{f}(\omega)e^{j\omega t}d\omega\)






Annotation 7607283485964

chi README (whole file)
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chi package - github.com/go-chi/chi/v5 - Go Packages
tive Go Go User Manual Standard library Release Notes Packages Community Community Recorded Talks Meetups Conferences Go blog Go project Get connected Discover Packages github.com/go-chi/chi/v5 <span>chi package module Version: v5.0.11 Opens a new window with list of versions in this module. Latest Latest This package is not in the latest version of its module. Go to latest Published: D