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cross term

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "cross term" is not commonly used in written English.
It is occasionally used in mathematical contexts to refer to "an expression that involves two variables." For example, the equation x2 + y2 = z2 is a cross term.

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

18 human-written examples

Cross term suppression is an important problem in signal processing.

Unfortunately, the technique becomes invalid when there is cross term.

If |k| = 1, it is the biggest cross term.

It represents the ratio of cross term relative to the overall value, which can be seen as the effectiveness of cross term suppression.

On the other hand, the cross term is not a Gaussian variable.

end{aligned} (4.23) Now, we treat the cross term in the above equation.

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Human-verified similar examples from authoritative sources

Similar Expressions

42 human-written examples

Note relatively large ZX cross-term with anti-symmetry.

Particularly, the utility of cross-term feature mapping promoted the testing result on target Urokinase.

This provides a clear time-frequency picture of the signal without the cross-term interference.

The length and shape of the smoothing window g1 t) control outer cross-term reduction.

The improved algorithm enhances the SNR and suppresses the cross-term.

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Expert writing Tips

Best practice

When using the term "cross term", ensure the context clearly indicates the specific field (e.g., signal processing, statistics) to avoid ambiguity. Provide a brief definition if the audience may not be familiar with the term.

Common error

Avoid using "cross term" in general writing without a technical or mathematical basis. It can sound unnatural or confusing if not used in the appropriate domain.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

81%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "cross term" functions primarily as a noun phrase, often used to identify a specific type of term within a mathematical or scientific expression or model. Ludwig shows its frequent application in academic and scientific literature.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "cross term" is a noun phrase primarily utilized within scientific and mathematical contexts to denote an expression resulting from the interaction or combination of two or more variables. Ludwig AI indicates the phrase is grammatically correct. It's particularly prevalent in fields like signal processing, statistics, and physics. Usage is generally formal and technical, so its application outside of those areas should be carefully considered. While "cross term" can sometimes be interchanged with "interaction term", the former is more often found in scientific literature, whereas the latter is more associated with statistical modeling. Understanding the specific domain is crucial for correct interpretation and application.

FAQs

How is the phrase "cross term" typically used in signal processing?

In signal processing, a "cross term" often refers to interference arising from the interaction of different signal components in time-frequency analysis. Suppressing these "cross terms" is a key problem in analyzing multicomponent signals.

What does "cross term" mean in the context of statistical modeling?

In statistical modeling, a "cross term", also known as an interaction term, represents the combined effect of two or more predictor variables on a response variable. It helps capture non-additive relationships between the predictors.

Is "cross term" the same as "interaction term"?

While the terms are often used interchangeably, "interaction term" is generally more common in statistical contexts, while "cross term" can appear in fields like signal processing or physics. However, both describe the effect of multiple variables acting together.

What are some methods for dealing with "cross terms" in time-frequency analysis?

Techniques for "cross term" suppression in time-frequency analysis include kernel function filtering and parameter adaptation methods. The goal is to minimize interference and obtain a clearer representation of individual signal components.

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Most frequent sentences: