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+/**
+ * 3_fir.cpp
+ * Written by Clyne Sullivan.
+ *
+ * The below code was written for applying FIR filters. While this is still essentially an overlap-
+ * save convolution, other optimizations have been made to allow for larger filters to be applied
+ * within the available execution time. Samples are also normalized so that they center around zero.
+ */
+
+Sample* process_data(Samples samples)
+{
+ static Samples buffer;
+
+ // Define the filter:
+ constexpr unsigned int filter_size = 3;
+ static float filter[filter_size] = {
+ // Put filter values here (note: precision will be truncated for 'float' size).
+ 0.3333, 0.3333, 0.3333
+ };
+
+ // Do an overlap-save convolution
+ static Sample prev[filter_size];
+
+ for (int n = 0; n < SIZE; n++) {
+ // Using a float variable for accumulation allows for better code optimization
+ float v = 0;
+
+ for (int k = 0; k < filter_size; k++) {
+ int i = n - (filter_size - 1) + k;
+
+ auto s = i >= 0 ? samples[i] : prev[filter_size - 1 + i];
+ // Sample values are 0 to 4095. Below, the original sample is normalized to a -1.0 to
+ // 1.0 range for calculation.
+ v += (s / 2048.f - 1) * filter[k];
+ }
+
+ // Return value to sample range of 0-4095.
+ buffer[n] = (v + 1) * 2048.f;
+ }
+
+ // Save samples for next convolution
+ for (int i = 0; i < filter_size; i++)
+ prev[i] = samples[SIZE - filter_size + i];
+
+ return buffer;
+}
+