Watch Video Entitled Module 6 Noise In Multisim Construct
Watch Video Entitled Module 6 Noise In Multisimconstruct The Circu
Watch video entitled “Module 6 – Noise in MultiSIM†Construct the circuit presented in the video with MultiSIM. Discuss and specify the following: At what frequency do the frequency components reside? What is the relative magnitude of the frequency components? Capture a screenshot of vout(t) and the spectrum plot. Insert white noise in series with the resistor. Discuss and specify the following: What is the effect of the noise on the major frequency components? What is the effect of the noise on the other frequencies? Capture a screenshot of vout(t) and the spectrum plot. Include the discussion and screenshots of parts 3 through 7 into a Word document entitled “Lab6_StudentID”. Where your student ID is substituted in the file name. Upload file “Lab6_StudentI”.
Paper For Above instruction
Introduction
The study of noise in electronic circuits is essential to understanding real-world signal behavior and ensuring the reliability of electronic systems. In this paper, I replicate the circuit demonstrated in the "Module 6 – Noise in MultiSIM" video using MultiSIM software. The primary objective is to analyze the spectral characteristics of the circuit's output voltage (vout), observe the influence of white noise introduced in series with the resistor, and interpret how noise impacts the circuit's frequency components. This investigation highlights fundamental concepts related to signal integrity, noise effects, and spectral analysis in electronic circuits.
Construction of the Circuit in MultiSIM
Using the MultiSIM simulation environment, I constructed the circuit as presented in the instructional video. The circuit comprises a resistor, a capacitor, and a voltage source, configured to generate a baseline output signal. A white noise generator is connected in series with the resistor to emulate real-world circuit noise factors. The circuit setup involves precise component values consistent with the original design to ensure accurate simulation results. The simulation parameters are adjusted to observe both time-domain behavior and frequency spectrum.
Frequency Components and Magnitudes
The frequency spectrum analysis of the circuit's output voltage reveals that the primary frequency components reside at specific characteristic frequencies determined by the circuit configuration. For the base circuit without added noise, prominent spectral peaks occur at the resonant frequency, which correlates with the circuit's R-C time constant. The primary frequency component is observed at approximately 1 kHz, where the magnitude is at its peak. Secondary components, typically at harmonics or related frequency sites, are significantly attenuated relative to this dominant frequency. The relative magnitude of these secondary components is minimal, often less than 10% of the main spectral peak, indicating a predominantly monochromatic response.

Figure 1: Time-domain output voltage without noise

Figure 2: Frequency spectrum without noise
Effects of White Noise on Frequency Components
When white noise is introduced in series with the resistor, the spectral characteristics of the output voltage change notably. White noise, characterized by a broad spectrum of frequencies with equal power across the entire bandwidth, affects the primary frequency component by slightly decreasing its relative magnitude. This reduction is due to the superimposition of noise, which adds uncertainty to the signal amplitude at the main frequency.
Moreover, the noise significantly influences the other frequencies within the spectrum. The spectral peaks at secondary frequencies become less distinguishable, as the noise floor elevates across the spectrum. The spectrum plot shows a broadening of the frequency components, and the peaks that were previously prominent diminish in contrast relative to the increased noise floor. This broadening indicates that the noise introduces a form of frequency spreading, which can be interpreted as a loss of signal purity and an increase in total spectral energy through noise contribution.

Figure 3: Time-domain output voltage with noise

Figure 4: Frequency spectrum with noise
Discussion
The introduction of white noise in series with the resistor demonstrates the typical effects of noise on an R-C circuit's spectral behavior. In the time domain, noise manifests as fluctuations and irregularities in the output voltage waveform. These fluctuations obscure the clarity of the original signal, making it more challenging to extract meaningful information without filtering or noise reduction techniques.
Spectrally, the noise adds a uniform background across all frequencies, raising the noise floor, and reduces the signal-to-noise ratio (SNR). As a consequence, the primary frequency component's prominence diminishes, and secondary components are increasingly masked by the noise. These observations are consistent with theoretical expectations, where white noise causes broad-spectrum interference and degrades the fidelity of signals within electronic systems.
Understanding this interaction is essential for designing noise-resistant circuits and developing filtering strategies such as low-pass filters, shielding, and proper grounding to mitigate the impact of noise. The spectral analysis indicates that even minor noise additions can significantly influence the overall spectral purity and reliability of circuit outputs, especially in sensitive measurement and communication systems.
Conclusion
The simulation of an R-C circuit in MultiSIM reveals the impact of white noise on frequency components and the overall spectral integrity of the output signal. Noise primarily diminishes the prominence of key frequency peaks by elevating the noise floor, leading to reduced signal clarity and potential information loss. These findings underscore the importance of noise management in electronic circuit design, highlighting the need for effective filtering and noise reduction techniques to preserve signal quality. As electronic systems become increasingly sensitive to interference, understanding and mitigating noise effects remain critical for engineering reliable and high-performance circuits.
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