81   // Calculate scaling to ensure that `peak_index` samples can be square-summed  in Process()
83   int scaling = 31 - WebRtcSpl_NormW32(max_input_value_ * max_input_value_) -  in Process()  local
85   scaling = std::max(0, scaling);  in Process()
94       WebRtcSpl_DotProductWithScale(vec1, vec1, peak_index, scaling);  in Process()
96       WebRtcSpl_DotProductWithScale(vec2, vec2, peak_index, scaling);  in Process()
100       WebRtcSpl_DotProductWithScale(vec1, vec2, peak_index, scaling);  in Process()
104       SpeechDetection(vec1_energy, vec2_energy, peak_index, scaling);  in Process()
117     // Make sure total scaling is even (to simplify scale factor after sqrt).  in Process()
170   int scaling = std::max(0, 17 - WebRtcSpl_NormW32(max_corr));  in AutoCorrelation()  local
172                                    auto_corr, scaling);  in AutoCorrelation()
178                                   int scaling) const {  in SpeechDetection()
203   // (`scaling` is the scale factor before energy calculation, thus the scale  in SpeechDetection()
204   // factor for the energy is 2 * scaling.)  in SpeechDetection()
205   if (WebRtcSpl_NormW32(left_side) < 2 * scaling) {  in SpeechDetection()
209     right_side = right_side >> (2 * scaling - temp_scale);  in SpeechDetection()
211     left_side = left_side << 2 * scaling;  in SpeechDetection()