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CMSIS-DSP/Applications/SineDetectorApp/SineDetection/svmDef.cpp

70 lines
1.9 KiB
C++

/* ----------------------------------------------------------------------
* Project: CMSIS DSP Library
* Title: arm_svm_polynomial_predict_f32.c
* Description: SVM Polynomial Classifier
*
*
* Target Processor: Cortex-M and Cortex-A cores
* -------------------------------------------------------------------- */
/*
* Copyright (C) 2010-2019 ARM Limited or its affiliates. All rights reserved.
*
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the License); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "svmDef.hpp"
#define STEP(x) (x) <= 0 ? 0 : 1
static float32_t arm_exponent_f32(float32_t x, int32_t nb)
{
float32_t r = x;
nb --;
while(nb > 0)
{
r = r * x;
nb--;
}
return(r);
}
void arm_svm_polynomial_predict_f32(
const arm_svm_polynomial_instance_f32 *S,
const float32_t * in,
float32_t *pResult)
{
float32_t sum=S->intercept;
float32_t dot=0;
uint32_t i,j;
const float32_t *pSupport = S->supportVectors;
for(i=0; i < S->nbOfSupportVectors; i++)
{
dot=0;
for(j=0; j < S->vectorDimension; j++)
{
dot = dot + in[j]* *pSupport++;
}
sum += S->dualCoefficients[i] * arm_exponent_f32(S->gamma * dot + S->coef0, S->degree);
}
/*
Original CMSIS-DSP is returning the class.
Here we are returning the value and the class is computed by the client.
*/
*pResult=sum;
}