error power

USAGE SUMMARY

The phrase "error power" is not correct and does not convey a clear meaning in written English.
It may be intended to refer to a concept related to the power of an error or the impact of errors in a specific context, but as it stands, it lacks clarity. Example: "The error power in this calculation significantly affected the final results."

⚠ May contain grammatical issues

Science

Human-verified examples from authoritative sources

Exact Expressions

55 human-written examples

In this paper, we propose to use minimum error power method [24] to estimate the prediction coefficients by computing the minimum error power.

EURASIP Journal on Audio, Speech, and Music Processing

For different order values, we can get different minimum error power values.

EURASIP Journal on Audio, Speech, and Music Processing

The error power of λ(δ f) is (0.2 m/s)2, the error power of λ/(δ t) is (0.1 m/s)2, the ranging error power with peers and ground control stations is (3 m)2, and the TDoA measurement error power is set to (3 m)2, with α = 0.5.

EURASIP Journal on Advances in Signal Processing

The results of the simulator are time series of 'measured' accelerations and their corresponding error power spectral densities.

Advances in Space Research

We studied type I error, power, and potential reduction in sample size with several covariate adjustment strategies.

Journal of Clinical Epidemiology

During this time, the error power of the main filters is lower than the error power of the shadow filters and is detected according to overline{E}_{text{sh}}(k) > T_{text{div}},overline{E}_{text{main}} k), (17).

EURASIP Journal on Advances in Signal Processing

Human-verified similar examples from authoritative sources

Similar Expressions

5 human-written examples

In this section, the effects of synchronization errors, power control errors, and mobility on JCMA are discussed.

EURASIP Journal on Wireless Communications and Networking

For sample size calculation for the SBS measurements, a power analysis for ß-error (power > 80) was performed.

BMC Oral Health

A sample-size calculation suggested that that 60 patients/group was necessary to detect a 7% change in the NDI with a standard deviation for change of 13 with a 20% β-error (power 1- β = 080%) and an α-error of 0.05.

BMC Musculoskeletal Disorders

Topics to be covered in the series include: standard errors and confidence intervals; hypothesis testing and errors; power calculations; measures of disease; parametric and non-parametric tests; simple regression; and analysis of survival data.

Critical Care

5 Type I error and power are usually fixed at conventional levels (5% for type I error, 80% or 90% for power).

British Medical Journal

Expert writing Tips

Best practice

While "error power" is used in specific technical contexts, consider using more descriptive alternatives like "magnitude of error" or "impact of error" for broader audiences to ensure clarity.

Common error

Avoid using "error power" in contexts outside of technical fields like signal processing. In general writing, it can sound awkward and less precise than alternatives like "the effect of the error" or "the size of the mistake".

Linguistic Context

The phrase "error power" primarily functions as a noun phrase that quantifies the magnitude or intensity of errors, particularly in scientific and technical contexts. Ludwig identifies this phrase as not being correct.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

In summary, "error power" is a frequently used phrase, particularly in scientific and technical domains, to quantify the magnitude or intensity of errors. Despite its prevalence in academic and scientific writing, Ludwig AI identifies the phrase as not being correct and suggests alternative phrasing for clarity in broader contexts. Its primary function is to provide a measurable representation of errors, and its register is formal and scientific. While common in specific fields, it's essential to consider the audience and context when using this phrase, opting for more descriptive alternatives when appropriate.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

impact of error

Emphasizes the effect or consequence of the error.

influence of error

Highlights how the error affects the outcome or result.

magnitude of error

Focuses on the extent or size of the error rather than its power or influence.

severity of error

Indicates the seriousness or criticality of the error.

error variance

Focuses on the statistical dispersion of errors.

estimation error

Emphasizes the incorrectness of a specific estimation

level of inaccuracy

Highlights the lack of precision or correctness.

degree of deviation

Focuses on the extent of departure from the correct value.

noise level

Emphasizes the level of noise and its impact

scale of error

Indicates the scope or extent of the error.

FAQs

What does "error power" mean in signal processing?

In signal processing, "error power" typically refers to the average power of the error signal, often used to quantify the performance of estimation or prediction algorithms. It represents the magnitude of the difference between the estimated and actual values.

Is "error power" grammatically correct?

While frequently used in scientific literature, Ludwig AI identifies the phrase "error power" as not being correct in standard English. Consider alternatives such as "magnitude of error" or "impact of error" for improved clarity.

What are some alternatives to "error power" in general writing?

Depending on the context, you can use alternatives like "magnitude of error", "impact of error", or "severity of error". These options often provide greater clarity for a broader audience.

How is "error power" calculated?

The calculation of "error power" depends on the specific application. Generally, it involves squaring the error values (difference between estimated and actual values), summing them, and then averaging over the number of samples. This provides a measure of the average power of the error signal.