// Exponential Moving Average // // average_exponential - ema // // Weighted moving average with exponentially decreasing weights determined by // the constant c // // y[0] = x[0] // y[t] = a * x[t] + ( 1 - a ) * EMA[t - 1] // a = 1 / k; // // Inputs: 1 // Outputs: 1 // Constants: 1 #include #include "ts.h" typedef struct { fp_t k; } ts_average_exponential_params_t; ts_parameter_t const ts_average_exponential_p = { .n_inputs = 1, .n_outputs = 1, .n_constants = 1, .params_size = sizeof(ts_average_exponential_params_t) }; uint_t ts_average_exponential_offset( ts_constant_t const *c ) { ( void )c; return ( 0 ); } int ts_average_exponential( fp_t * const *y, uint_t y_n, fp_t const * const *x, uint_t x_n, uint_t n, ts_constant_t const *c ) { TS_PROLOGUE( ts_average_exponential_p ); if ( !c ) return -1; TS_CHECK_INPUT(x, x_n, n); fp_t k = ((ts_average_exponential_params_t const *)c)->k; if (k <= 0 || isnan(k)) return -1; fp_t a = 1.0 / k; y[0][0] = x[0][0]; for( uint_t i = 1; i < n; ++i ) { y[0][i] = y[0][i - 1] + a * ( x[0][i] - y[0][i - 1] ); } return 0; }