Increased pulse-width in the flat-top sampling leads to greater aliasing errors in reproduction.

Explanation:
Flat-top sampling is a technique used to convert analog signals into digital signals by sampling the input waveform at regular intervals and holding the sampled value until the next sampling instant. The pulse-width in flat-top sampling refers to the duration of time for which the sampled value is held constant.

Increased pulse-width in flat-top sampling has the following effects:

1. Aliasing Errors:
Aliasing occurs when high-frequency components in the input signal are incorrectly represented as lower frequencies in the sampled signal. This phenomenon is caused by the sampling rate being too low to accurately capture the high-frequency content. When the pulse-width is increased, the effective sampling rate decreases, leading to a higher likelihood of aliasing errors. As a result, high-frequency components in the input signal may be improperly represented, leading to distortion in the reproduced signal.

2. Attenuation of High Frequencies:
Increasing the pulse-width in flat-top sampling effectively reduces the effective sampling rate, which can result in the attenuation of high-frequency components in the reproduced signal. This is because the higher the frequency of the input signal, the more samples are needed to accurately capture its waveform. With a wider pulse-width, fewer samples are taken within a given time period, leading to a loss of high-frequency information.

3. No Attenuation of Low Frequencies:
While increasing the pulse-width may introduce errors in the reproduction of high-frequency components, it does not directly lead to the attenuation of low-frequency components. This is because low-frequency components are captured by the relatively long duration of the pulse-width. Therefore, the attenuation of low frequencies is not a direct consequence of increased pulse-width in flat-top sampling.

In conclusion, increased pulse-width in the flat-top sampling technique primarily leads to greater aliasing errors in reproduction, as the effective sampling rate decreases and high-frequency components may be misrepresented in the sampled signal.