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Diffstat (limited to 'examples/3_fir.cpp')
-rw-r--r-- | examples/3_fir.cpp | 47 |
1 files changed, 47 insertions, 0 deletions
diff --git a/examples/3_fir.cpp b/examples/3_fir.cpp new file mode 100644 index 0000000..b6d8751 --- /dev/null +++ b/examples/3_fir.cpp @@ -0,0 +1,47 @@ +/** + * 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; +} + |