From 242e3a7fdb8ca249335a693e83eb4faf3f3542ec Mon Sep 17 00:00:00 2001
From: Carl Hetherington <cth@carlh.net>
Date: Mon, 2 Oct 2023 22:11:28 +0200
Subject: Micro-optimizations.

---
 src/leqm_nrt.cc | 18 ++++++++++--------
 1 file changed, 10 insertions(+), 8 deletions(-)

(limited to 'src')

diff --git a/src/leqm_nrt.cc b/src/leqm_nrt.cc
index 469890c..f170901 100644
--- a/src/leqm_nrt.cc
+++ b/src/leqm_nrt.cc
@@ -65,13 +65,15 @@ void worker_thread(std::vector<double>& buffer, int nsamples, int nch, std::vect
 	};
 
 	auto convolve = [](std::vector<double> const& signal, std::vector<double> const& ir) {
-		std::vector<double> result(signal.size());
+		auto const signal_size = signal.size();
+		auto const ir_size = ir.size();
+		std::vector<double> result(signal_size);
 		double sum = 0.0;
-		for (auto i = 0U; i < signal.size(); i++) {
+		for (auto i = 0U; i < signal_size; i++) {
 			auto m = i;
-			for (int l = ir.size()- 1; l >= 0; l--, m++) {
-				if (m >= signal.size()) {
-					m -= signal.size();
+			for (int l = ir_size - 1; l >= 0; l--, m++) {
+				if (m >= signal_size) {
+					m -= signal_size;
 				}
 				sum += signal[m] * ir[l];
 			}
@@ -82,9 +84,9 @@ void worker_thread(std::vector<double>& buffer, int nsamples, int nch, std::vect
 	};
 
 	auto rectify = [](std::vector<double> const& input) {
-		std::vector<double> squared;
-		for (auto i: input) {
-			squared.push_back(pow(i, 2));
+		std::vector<double> squared(input.size());
+		for (auto i = 0U; i < input.size(); ++i) {
+			squared[i] = pow(input[i], 2);
 		}
 		return squared;
 	};
-- 
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