quality factor
Q factor

Color accuracy is an important but ambiguous image quality factor.

And in this particular model the quality factor is much higher than in any of the others.

This results in low radiative losses, and very high quality factors.

Figure 5.3 provides details of the quality factor for some radiations.

After contrast, color saturation and accuracy are the next most important quality factors.

Different grape species prefer various soil conditions, although there are general quality factors.

This may define operating temperature ranges and other environmental or quality factors.

The quality factor depends largely on the reflection properties of the mirrors.

These consumers' complaints mostly related to the quality factors that the industry calls "fit and finish."

Effectiveness, efficiency, and satisfaction can be seen as quality factors of usability.

As the quality factor increases, the relative amount of damping decreases.

Therefore one wants to design filters that have a higher quality factor at these frequencies, and this calls for improved technology.

These levels were modified to account for the uncertainty in quality factors and space dosimetry.

One can use the quality factor to substitute with an equivalent expression:

Resonators with high quality factors have low damping so that they ring longer.

Many researchers are interested in creating three-dimensional ring resonators with very high quality factors.

Oscillators with high quality factors have low damping which tends to make them ring longer.

Rings with a low quality factor generate additional low frequency noise.

The quality factor of oscillators varies substantially from system to system.

The quality factor of a cavity can be decomposed into three parts, representing different power loss mechanisms.

"But there is also the quality factor.

Ultimately, students examine the impacts of physical water quality factors on species that live in a given environment, using the Atlantic sturgeon as an example.

Any interfaces or apertures that would decrease the quality factor of the ring are avoided.

This equation gives rise to formidable quality factors.

The quality factor is defined as the reciprocal value of the dissipation factor.

This may be caused by differences in the Q factor.

These filters are used for their high Q factors.

A major reason for the wide use of crystal oscillators is their high Q factor.

These effects make the high frequency resistance greater and decrease the Q factor.

The shell width influences the Q factor or tread of the bike.

The Q factor of a capacitor can be found through the following formula:

The ferrite creates an inductor with a very low Q factor.

The Q factor is a widespread measure used to characterise resonators.

The Q factor, which is the ratio of frequency and bandwidth, can be as high as 10.

Also, the Q factor of a synthesized inductor can be selected with ease.

A reverberation chamber is a cavity resonator with a high Q factor.

The Q factor determines the qualitative behavior of simple damped oscillators.

The oldest designs are simple circuits where the main design criterion was the Q factor of the circuit.

All forms of resonance cause this, by storing energy, and resonances with high Q factor are especially audible.

All of these factors tend to be inversely proportional to the tuning circuit's Q factor.

The core material increases the inductance dramatically, thereby raising its Q factor.

High vacuum enables high Q factors on the cantilever oscillation.

Spindle length, along with cranks shape, determines the Q factor or tread.

It can be seen that the frequency of operation and the Q factor can be varied independently.

Raising frequency by scratching off parts of the electrodes is advised against, as this may damage the crystal and lower its Q factor.

Q Factor is a function of both the bottom bracket width (axle length) and the crank arms.

The formula for the Q factor is:

Q factor analysis reduces the many individual viewpoints of the subjects down to a few "factors," which represent shared ways of thinking.

The data for Q factor analysis come from a series of "Q sorts" performed by one or more subjects.

These can have high Q factor, and can achieve resonance without the use of inductors but with slight difference in response time.