"Slope Overload" and "Granular Noise" are terms used in the field of digital signal processing.

1. Slope Overload: This term refers to a type of distortion that occurs when a signal changes too rapidly for the analog-to-digital converter (ADC) to accurately track. This can happen if the input signal's slope is steeper than the ADC's maximum tracking rate. The result is a distorted output signal that does not accurately represent the input signal's changes over time.

2. Granular Noise: Also known as quantization noise, this is a type of noise that is introduced by the process of quantization in an analog-to-digital conversion. In this process, a continuous signal is approximated by a discrete signal. The difference between the actual analog value and the quantized digital value is the quantization error, which manifests as granular noise. This noise is evenly distributed across the frequency spectrum, giving it a "grainy" or "granular" quality.

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"Slope Overload" and "Granular Noise" are terms used in the field of digital signal processing.

1. Slope Overload: This term refers to a type of distortion that occurs when a signal changes too rapidly for the analog-to-digital converter (ADC) to accurately track. This can happen if the input signal's slope is steeper than the ADC's maximum tracking rate. The result is a distorted output signal that does not accurately represent the input signal's changes over time.

2. Granular Noise: Also known as quantization noise, this is a type of noise that is introduced by the process of quantization in an analog-to-digital conversion. In this process, a continuous signal is approximated by a discrete signal. The difference between the actual analog value and the quantized digital value is the quantization error, which manifests as granular noise. This noise is evenly distributed across the frequency spectrum, giving it a "grainy" or "granular" quality.

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"Slope Overload" and "Granular Noise" are terms used in the field of digital signal processing.

1. Slope Overload: This term refers to a type of distortion that occurs when a signal changes too rapidly for the analog-to-digital converter (ADC) to accurately track. This can happen if the input signal's slope is steeper than the ADC's maximum tracking rate. The result is a distorted output signal that does not accurately represent the input signal's changes over time.

2. Granular Noise: Also known as quantization noise, this is a type of noise that is introduced by the process of quantization in an analog-to-digital conversion. In this process, a continuous signal is approximated by a discrete signal. The difference between the actual analog value and the quantized digital value is the quantization error, which manifests as granular noise. This noise is evenly distributed across the frequency spectrum, giving it a "grainy" or "granular" quality.

Define slope overload and granular noise.

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