Difficulty: Easy
Correct Answer: Differentiation
Explanation:
Introduction / Context:
Signal processing and analog computing frequently invoke basic calculus. Differentiation measures how quickly a quantity changes with respect to an independent variable (often time). In op-amp circuits, differentiators approximate this operation across a bandwidth, converting a ramp to a constant level and a constant to zero (ideally). Recognizing the correct terminology prevents confusion with integration, which performs the inverse accumulation process.
Given Data / Assumptions:
Concept / Approach:
Differentiation computes the derivative dy/dx, representing the slope of y with respect to x at a point. In time domain signals, v_out ∝ dv_in/dt for an ideal differentiator. Practical op-amp differentiators place a series capacitor at the input and a resistor in feedback, often with additional components to tame high-frequency noise and low-frequency drift. This operation is used for edge detection, motion sensing, and shaping in control systems.
Step-by-Step Solution:
Verification / Alternative check:
Fourier view: differentiation multiplies spectra by jω, increasing magnitude with frequency; lab Bode plots show +20 dB/decade slope within the designed band of an active differentiator.
Why Other Options Are Wrong:
Integration is the inverse (area under curve). Averaging smooths noise but does not yield instantaneous slope. Linear regression fits a global trend, not pointwise derivative. Fourier synthesis builds waveforms from sinusoids and is unrelated to instantaneous slope.
Common Pitfalls:
Expecting ideal differentiation at all frequencies; in reality, noise and saturation limit usable bandwidth.
Final Answer:
Differentiation
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