This simulation demonstrates the effects of sampling rate on analog signals. The top waveform (purple) represents the original continuous triangular signal, while the other waveforms show sampled versions at different frequencies — 1 kHz (green), 500 Hz (orange), and 250 Hz (red). As the sampling rate decreases, the reconstructed waveform becomes more distorted and loses accuracy, illustrating aliasing and quantization effects. A higher sampling rate captures more signal details, producing a wav
FacebookElectronics Education
This simulation demonstrates the effects of sampling rate on analog signals. The top waveform (purple) represents the original continuous triangular signal, while the other
Electronics - R&D. Sleeping Lion · Sunset (Instrumental). This simulation demonstrates the effects of sampling rate on analog signals. The top waveform (purple) represents the original continuous triangular signal, while the other waveforms show sampled versions at different frequencies — 1 kHz (green), 500 Hz (orange), and 250 Hz (red). As ...
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This problem is on time sampling, sampling frequency, and sampl... | Filo
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Demonstration 2: Sampling, Aliasing, and Frequency Response, Part 2 | Digital Signal Processing | Electrical Engineering and Computer Science | MIT OpenCourseWare
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This simulation illustrates the effects of different sampling rates on an analog signal using ADC (Analog-to-Digital Converter) and DAC (Digital-to-Analog Converter) circuits. The top purple waveform represents the original analog sinusoidal input signal at 100 Hz. The other three reconstructed waveforms — orange, green, and red — show the DAC outputs for high, medium, and low sampling rates, respectively: Orange waveform → Highest sampling rate: The output closely follows the original analog si
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This simulation illustrates the effects of different sampling rates on an analog signal using ADC (Analog-to-Digital Converter) and DAC (Digital-to-Analog Converter) circuits. The top purple waveform represents the original analog sinusoidal input signal at 100 Hz. The other three reconstructed waveforms — orange, green, and red — show the DAC outputs for high, medium, and low sampling rates, respectively: Orange waveform → Highest sampling rate: The output closely follows the original analog si
FacebookElectronics Education
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This problem is on time sampling, sampling frequency, and sampl... | Filo
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Demonstration 2: Sampling, Aliasing, and Frequency Response, Part 2 | Digital Signal Processing | Electrical Engineering and Computer Science | MIT OpenCourseWare
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This simulation illustrates the effects of different sampling rates on an analog signal using ADC (Analog-to-Digital Converter) and DAC (Digital-to-Analog Converter) circuits. The top purple waveform represents the original analog sinusoidal input signal at 100 Hz. The other three reconstructed waveforms — orange, green, and red — show the DAC outputs for high, medium, and low sampling rates, respectively: Orange waveform → Highest sampling rate: The output closely follows the original analog si
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This simulation illustrates the effects of different sampling rates …
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FacebookElectronics Education
This simulation illustrates the effects of different sampling rates on a 100 Hz sine wave signal as it passes through an ADC–DAC system. The top (blue) waveform represents the original smooth sine wave. Below it, the green trace shows the reconstructed output when sampled at 1000 Hz — the waveform is closely matched to the original, with minimal distortion. The orange trace, sampled at 666 Hz, still follows the sine wave shape but with visible “stair-stepping” due to fewer samples per cycle. The
This simulation illustrates the effects of different sampling rates …
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This simulation demonstrates how sampling rate affects the reconstruction of a waveform. At the top, the smooth triangular input signal is shown. Below it, three reconstructed signals are displayed using different sampling rates: 1 kHz, 500 Hz, and 250 Hz. The 1 kHz sampling rate produces the closest approximation, with many small steps that follow the original shape accurately. When the sampling rate drops to 500 Hz, the reconstructed waveform becomes more blocky and begins to lose detail, show
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This simulation demonstrates how sampling rate affects the reconstr…
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71K views · 948 reactions | This simulation demonstrates the concept...
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This simulation demonstrates how varying the sampling rate impacts the fidelity of signal reconstruction in digital systems. At the top, a sine wave is sampled and reconstructed using different ADC (Analog-to-Digital Converter) and DAC (Digital-to-Analog Converter) clock rates. As the sampling rate decreases, the reconstructed signal becomes less accurate, showing clear distortion. This highlights the importance of choosing an appropriate sampling rate—typically governed by the Nyquist theorem—t
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