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-/* ----------------------------------------------------------------------
- * Copyright (C) 2010-2012 ARM Limited. All rights reserved.
- *
-* $Date:         17. January 2013
-* $Revision:     V1.4.0
-*
-* Project:       CMSIS DSP Library
- * Title:        arm_fir_example_f32.c
- *
- * Description:  Example code demonstrating how an FIR filter can be used
- *               as a low pass filter.
- *
- * Target Processor: Cortex-M4/Cortex-M3
- *
-* Redistribution and use in source and binary forms, with or without
-* modification, are permitted provided that the following conditions
-* are met:
-*   - Redistributions of source code must retain the above copyright
-*     notice, this list of conditions and the following disclaimer.
-*   - Redistributions in binary form must reproduce the above copyright
-*     notice, this list of conditions and the following disclaimer in
-*     the documentation and/or other materials provided with the
-*     distribution.
-*   - Neither the name of ARM LIMITED nor the names of its contributors
-*     may be used to endorse or promote products derived from this
-*     software without specific prior written permission.
-*
-* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
-* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
-* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
-* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
-* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
-* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
-* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
-* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
-* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
-* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
-* POSSIBILITY OF SUCH DAMAGE.
- * -------------------------------------------------------------------- */
-
-/**
- * @ingroup groupExamples
- */
-
-/**
- * @defgroup FIRLPF FIR Lowpass Filter Example
- *
- * \par Description:
- * \par
- * Removes high frequency signal components from the input using an FIR lowpass filter.
- * The example demonstrates how to configure an FIR filter and then pass data through
- * it in a block-by-block fashion.
- * \image html FIRLPF_signalflow.gif
- *
- * \par Algorithm:
- * \par
- * The input signal is a sum of two sine waves:  1 kHz and 15 kHz.
- * This is processed by an FIR lowpass filter with cutoff frequency 6 kHz.
- * The lowpass filter eliminates the 15 kHz signal leaving only the 1 kHz sine wave at the output.
- * \par
- * The lowpass filter was designed using MATLAB with a sample rate of 48 kHz and
- * a length of 29 points.
- * The MATLAB code to generate the filter coefficients is shown below:
- * <pre>
- *     h = fir1(28, 6/24);
- * </pre>
- * The first argument is the "order" of the filter and is always one less than the desired length.
- * The second argument is the normalized cutoff frequency.  This is in the range 0 (DC) to 1.0 (Nyquist).
- * A 6 kHz cutoff with a Nyquist frequency of 24 kHz lies at a normalized frequency of 6/24 = 0.25.
- * The CMSIS FIR filter function requires the coefficients to be in time reversed order.
- * <pre>
- *     fliplr(h)
- * </pre>
- * The resulting filter coefficients and are shown below.
- * Note that the filter is symmetric (a property of linear phase FIR filters)
- * and the point of symmetry is sample 14.  Thus the filter will have a delay of
- * 14 samples for all frequencies.
- * \par
- * \image html FIRLPF_coeffs.gif
- * \par
- * The frequency response of the filter is shown next.
- * The passband gain of the filter is 1.0 and it reaches 0.5 at the cutoff frequency 6 kHz.
- * \par
- * \image html FIRLPF_response.gif
- * \par
- * The input signal is shown below.
- * The left hand side shows the signal in the time domain while the right hand side is a frequency domain representation.
- * The two sine wave components can be clearly seen.
- * \par
- * \image html FIRLPF_input.gif
- * \par
- * The output of the filter is shown below.  The 15 kHz component has been eliminated.
- * \par
- * \image html FIRLPF_output.gif
- *
- * \par Variables Description:
- * \par
- * \li \c testInput_f32_1kHz_15kHz points to the input data
- * \li \c refOutput points to the reference output data
- * \li \c testOutput points to the test output data
- * \li \c firStateF32 points to state buffer
- * \li \c firCoeffs32 points to coefficient buffer
- * \li \c blockSize number of samples processed at a time
- * \li \c numBlocks number of frames
- *
- * \par CMSIS DSP Software Library Functions Used:
- * \par
- * - arm_fir_init_f32()
- * - arm_fir_f32()
- *
- * <b> Refer  </b>
- * \link arm_fir_example_f32.c \endlink
- *
- */
-
-
-/** \example arm_fir_example_f32.c
- */
-
-/* ----------------------------------------------------------------------
-** Include Files
-** ------------------------------------------------------------------- */
-
-#include "arm_math.h"
-#include "math_helper.h"
-
-/* ----------------------------------------------------------------------
-** Macro Defines
-** ------------------------------------------------------------------- */
-
-#define TEST_LENGTH_SAMPLES  320
-#define SNR_THRESHOLD_F32    140.0f
-#define BLOCK_SIZE            32
-#define NUM_TAPS              29
-
-/* -------------------------------------------------------------------
- * The input signal and reference output (computed with MATLAB)
- * are defined externally in arm_fir_lpf_data.c.
- * ------------------------------------------------------------------- */
-
-extern float32_t testInput_f32_1kHz_15kHz[TEST_LENGTH_SAMPLES];
-extern float32_t refOutput[TEST_LENGTH_SAMPLES];
-
-/* -------------------------------------------------------------------
- * Declare Test output buffer
- * ------------------------------------------------------------------- */
-
-static float32_t testOutput[TEST_LENGTH_SAMPLES];
-
-/* -------------------------------------------------------------------
- * Declare State buffer of size (numTaps + blockSize - 1)
- * ------------------------------------------------------------------- */
-
-static float32_t firStateF32[BLOCK_SIZE + NUM_TAPS - 1];
-
-/* ----------------------------------------------------------------------
-** FIR Coefficients buffer generated using fir1() MATLAB function.
-** fir1(28, 6/24)
-** ------------------------------------------------------------------- */
-
-const float32_t firCoeffs32[NUM_TAPS] = {
-  -0.0018225230f, -0.0015879294f, +0.0000000000f, +0.0036977508f, +0.0080754303f, +0.0085302217f, -0.0000000000f, -0.0173976984f,
-  -0.0341458607f, -0.0333591565f, +0.0000000000f, +0.0676308395f, +0.1522061835f, +0.2229246956f, +0.2504960933f, +0.2229246956f,
-  +0.1522061835f, +0.0676308395f, +0.0000000000f, -0.0333591565f, -0.0341458607f, -0.0173976984f, -0.0000000000f, +0.0085302217f,
-  +0.0080754303f, +0.0036977508f, +0.0000000000f, -0.0015879294f, -0.0018225230f
-};
-
-/* ------------------------------------------------------------------
- * Global variables for FIR LPF Example
- * ------------------------------------------------------------------- */
-
-uint32_t blockSize = BLOCK_SIZE;
-uint32_t numBlocks = TEST_LENGTH_SAMPLES/BLOCK_SIZE;
-
-float32_t  snr;
-
-/* ----------------------------------------------------------------------
- * FIR LPF Example
- * ------------------------------------------------------------------- */
-
-int32_t main(void)
-{
-  uint32_t i;
-  arm_fir_instance_f32 S;
-  arm_status status;
-  float32_t  *inputF32, *outputF32;
-
-  /* Initialize input and output buffer pointers */
-  inputF32 = &testInput_f32_1kHz_15kHz[0];
-  outputF32 = &testOutput[0];
-
-  /* Call FIR init function to initialize the instance structure. */
-  arm_fir_init_f32(&S, NUM_TAPS, (float32_t *)&firCoeffs32[0], &firStateF32[0], blockSize);
-
-  /* ----------------------------------------------------------------------
-  ** Call the FIR process function for every blockSize samples
-  ** ------------------------------------------------------------------- */
-
-  for(i=0; i < numBlocks; i++)
-  {
-    arm_fir_f32(&S, inputF32 + (i * blockSize), outputF32 + (i * blockSize), blockSize);
-  }
-
-  /* ----------------------------------------------------------------------
-  ** Compare the generated output against the reference output computed
-  ** in MATLAB.
-  ** ------------------------------------------------------------------- */
-
-  snr = arm_snr_f32(&refOutput[0], &testOutput[0], TEST_LENGTH_SAMPLES);
-
-  if (snr < SNR_THRESHOLD_F32)
-  {
-    status = ARM_MATH_TEST_FAILURE;
-  }
-  else
-  {
-    status = ARM_MATH_SUCCESS;
-  }
-
-  /* ----------------------------------------------------------------------
-  ** Loop here if the signal does not match the reference output.
-  ** ------------------------------------------------------------------- */
-
-  if ( status != ARM_MATH_SUCCESS)
-  {
-    while (1);
-  }
-
-  while (1);                             /* main function does not return */
-}
-
-/** \endlink */