small changes; sig gen square(), triangle(), pulse()

1 files changed, 0 insertions, 47 deletions

diff --git a/templates/3_fir.cpp b/templates/3_fir.cpp
deleted file mode 100644
index 3a68500..0000000
--- a/templates/3_fir.cpp
+++ /dev/null
@@ -1,47 +0,0 @@
-/**
- * 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 Sample buffer[samples.size()];
-
-	// 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 < samples.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[samples.size() - filter_size + i];
-
-    return buffer;
-}
-