DeClip

About DeClip

DeClip 3 restores audio recordings distorted by analog or digital clipping. Clipping occurs during recording when the recording level is too high and the highest peaks cannot be correctly recorded.

DeClip 3 substitutes such distorted peaks with an estimation of the signal curve in such a way that the frequency content obtained from the sampled values in the reliable range (i.e. the parts of the waveform not affected by clipping) is preserved as far as possible.

DeClip 3 shows a histogram of the signal level distribution in order to visualize restoration process and simplify the adjustment of the threshold values. DeClip 3 will substitute all recorded signals above the upper and below the lower threshold value with an estimate of the signal. The threshold values can be adjusted using their corresponding slider controls or in the histogram by dragging the colored handles.

Settings

• Positive threshold (dBFS)

All samples values above the positive threshold value specified in dBFS are substituted by an estimation of the signal.

• Negative threshold (dBFS)

All samples values below the negative threshold value specified in dBFS are substituted by an estimation of the signal.

• Link threshold values

Usually, the clipping introduced during recording will be symmetrical, which means that the upper and lower thresholds will have the same absolute value. By activating the upper and lower threshold link, the adjustment of DeClip is simplified in the case of symmetrical clipping.

• Detect

By clicking this button, DeClip 3 will automatically detect the threshold values. Please note that this button requires audio input to work properly.

• Input gain (dB)

The input gain is specified in dB and useful for adjusting the signal level before the de-clipping process and adding enough headroom for the restoration process.

• Output gain (dB)

The output gain in dB allows you to make up for peak level changes caused by the de-clipping process.

• Quality (%)

The quality slider controls the quality at the cost of CPU usage of the algorithm. Increased quality factors lead to higher CPU usage.