sparse time

USAGE SUMMARY

"sparse time" is a perfectly fine phrase to include in written English.
You can use it to describe a situation (or period of time) that is characterized by low activity, few people, or low resources. For example: "I have been spending my spare time experimenting with different recipes in the kitchen."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

12 human-written examples

Using a deep recurrent neural network (RNN) with Gated Recurrent Units (GRUs), we are able to quickly classify multi-channel, sparse, time series datasets into 12 different astrophysical types.

Harvard University

In case of voiced speech, it should be a perfect semi-periodic impulse train which is zero most of the times, i.e., it is a sparse time series.

EURASIP Journal on Audio, Speech, and Music Processing

The sparse time varying multipath channel is modeled as h ( t, τ ) = ∑ l = 0 k − 1 α l ( t ) δ ( τ − τ l ( t ) ) (84).

EURASIP Journal on Advances in Signal Processing

Both are a bit more elaborate than the sparse "Time" interface on the new Pebble Time Steel, which places important information on a timeline that stretches both forward and backward in time.

TechCrunch

However, models have mostly employed a daily time-step and have used a rather simple net calculation of the net photosynthesis, particularly for the estimation of future rice yield because the temperature projected by climate model still has sparse time scale.

Rice

For voiced sounds in particular, the filter is assumed to be an all-pole linear filter and the source is considered to be a semi-periodic impulse train which is zero most of the times, i.e., the source is a sparse time series.

EURASIP Journal on Audio, Speech, and Music Processing

Human-verified similar examples from authoritative sources

Similar Expressions

48 human-written examples

Randomly taking 1% of the time-frequency coefficients results in a very sparse time-frequency representation that sounds like clicks, breaks, and musical noise when re-synthesized.   2.

EURASIP Journal on Advances in Signal Processing

By rearranging the column vector x into a matrix with the size of K×K, we obtain the sparse time-frequency distribution matrix of the filtered out Bragg peak s.

EURASIP Journal on Advances in Signal Processing

This paper proposes a pattern recognition based differential spectral energy protection scheme for ac microgrids using a Fourier kernel based fast sparse time-frequency representation (SST or simply the sparse S-Transform).

Protection and Control of Modern Power Systems

Another a bully who will be pushy to get food in sparse times.

Huffington Post

This sparse time-lapse strategy should be useful for any assay where cell responses play out over a few days.

Plosone

Expert writing Tips

Best practice

When describing data collection or monitoring, use "sparse time" to indicate infrequent or irregular data points. This is especially useful in scientific and technical writing.

Common error

Avoid using "sparse time" when you mean leisure time or available time. "Sparse time" refers to a lack of data points or instances occurring over a period, not necessarily free moments in a schedule.

Linguistic Context

The phrase "sparse time" functions primarily as an adjective-noun combination, where 'sparse' modifies 'time' to indicate a period characterized by infrequency, scarcity, or limited data. Ludwig shows various examples in scientific and technological contexts.

Expression frequency: Common

Frequent in

Science

60%

News & Media

20%

Academia

20%

Less common in

Formal & Business

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "sparse time" is a phrase used to describe periods or datasets characterized by infrequent occurrences or limited data points. Ludwig indicates that it is grammatically sound and acceptable for use in written English. It is particularly common in scientific and technical contexts to describe limitations in data collection. While acceptable, it is important to distinguish "sparse time" from simply having "limited time" available, as the former specifically refers to data density, rather than availability. As a result, while the phrase is grammatically correct, use it with care for maximal clarity.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

scarce time

Highlights the rarity and potential value of the time period.

limited time

Focuses on the restricted availability of time.

minimal time

Stresses that only the smallest amount of time is available.

infrequent moments

Emphasizes the lack of regularity or frequency.

reduced time

Indicates a decrease or curtailment in the amount of time.

sporadic time

Highlights the irregular and inconsistent nature of the time.

intermittent time

Suggests time that is not continuous or steady.

infrequent periods

Focuses on the rarity of the periods.

occasional time

Emphasizes that opportunities for time are infrequent.

scattered time

Suggests the time is not consolidated, but spread out.

FAQs

What does "sparse time" mean in scientific research?

In scientific research, "sparse time" often refers to data collected at infrequent intervals. This can create challenges in analysis and modeling, as there may be gaps in the information.

How can I use "sparse time" in a sentence?

You might say, "Due to budget cuts, monitoring of the river's water quality occurred only during a "scarce time" frame, leading to incomplete data."

What's the difference between "sparse time" and "limited time"?

"Sparse time" emphasizes the infrequency of occurrences or data points within a time period, while "limited time" simply refers to a restriction on the total available duration.

What are some fields where "sparse time" data is commonly encountered?

"Sparse time" data is frequently found in fields like environmental monitoring, medical research (e.g., irregular patient check-ups), and astronomy, where observations might be constrained by weather, equipment availability, or other factors.