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Calculate Half Power Frequency

Half-Power Frequency Formula:

\[ f_{hp} = \frac{f_c}{\sqrt{2}} \]

Hz

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1. What is Half-Power Frequency?

The half-power frequency (fhp) is the frequency at which the power output of a filter or system is reduced to half (-3 dB) of its maximum value. It's a critical parameter in filter design and signal processing applications.

2. How Does the Calculator Work?

The calculator uses the half-power frequency formula:

\[ f_{hp} = \frac{f_c}{\sqrt{2}} \]

Where:

Explanation: This formula calculates the frequency at which the power drops to half its maximum value, which corresponds to the -3 dB point in the frequency response.

3. Importance of Half-Power Frequency

Details: The half-power frequency is crucial for determining the bandwidth of filters, analyzing system response characteristics, and designing electronic circuits with specific frequency response requirements.

4. Using the Calculator

Tips: Enter the center frequency in Hz. The value must be positive and greater than zero for accurate calculation.

5. Frequently Asked Questions (FAQ)

Q1: What is the relationship between half-power frequency and bandwidth?
A: For many filter types, the half-power frequencies define the cutoff points that determine the filter's bandwidth.

Q2: Why is it called the "-3 dB point"?
A: Because a 50% reduction in power corresponds to approximately -3 decibels in logarithmic scale (10·log₁₀(0.5) ≈ -3.01 dB).

Q3: Does this formula apply to all filter types?
A: This specific formula applies to certain simple filter configurations. Different filter types (Butterworth, Chebyshev, etc.) may have different relationships between center frequency and half-power points.

Q4: What's the difference between center frequency and half-power frequency?
A: Center frequency is the geometric mean of the upper and lower half-power frequencies, while half-power frequency specifically refers to the -3 dB points.

Q5: How is half-power frequency measured experimentally?
A: Typically by applying a variable frequency signal and measuring the output power, then identifying the frequencies where power drops to half the maximum value.

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