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/* ----------------------------------------------------------------------  
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* Copyright (C) 2010-2012 ARM Limited. All rights reserved.  
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*  
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* $Date:        17. January 2013  
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* $Revision:    V1.4.0  
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*  
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* Project:          CMSIS DSP Library  
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* Title:                arm_signal_converge_data.c
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*  
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* Description:   Test input data for Floating point LMS Norm FIR filter
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*  
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* Target Processor: Cortex-M4/Cortex-M3/Cortex-M0
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*  
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*   - Redistributions of source code must retain the above copyright
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*     notice, this list of conditions and the following disclaimer.
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*   - Redistributions in binary form must reproduce the above copyright
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*     notice, this list of conditions and the following disclaimer in
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*     the documentation and/or other materials provided with the
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*     distribution.
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*   - Neither the name of ARM LIMITED nor the names of its contributors
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*     may be used to endorse or promote products derived from this
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*     software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
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* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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* POSSIBILITY OF SUCH DAMAGE.  
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* -------------------------------------------------------------------- */
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#include "arm_math.h"
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/* ----------------------------------------------------------------------
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** Test input data for Floating point LMS Norm FIR filter
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** Generated by the MATLAB randn() function
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** ------------------------------------------------------------------- *//* ----------------------------------------------------------------------
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*  FIR high pass filter with cutoff freq 9.6kHz (transition 9.6KHz to 11.52KHz)
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** ------------------------------------------------------------------- */  
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float32_t lmsNormCoeff_f32[32] = {
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-0.004240,      0.002301,       0.008860,       -0.000000,      -0.019782,      -0.010543,      0.032881,       0.034736,      
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-0.037374,      -0.069586,      0.022397,       0.102169,       0.014185,       -0.115908,      -0.061648,      0.101018,      
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0.101018,       -0.061648,      -0.115908,      0.014185,       0.102169,       0.022397,       -0.069586,      -0.037374,     
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0.034736,       0.032881,       -0.010543,      -0.019782,      -0.000000,      0.008860,       0.002301,       -0.004240      
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};

        

        

           
           
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/* ----------------------------------------------------------------------

        

        

           
           
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** Coefficients for 32-tap filter for Floating point FIR filter

        

        

           
           
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*  FIR low pass filter with cutoff freq 24Hz (transition 24Hz to 240Hz)

        

        

           
           
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** ------------------------------------------------------------------- */  

        

        

           
           
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const float32_t FIRCoeff_f32[32] = {

        

        

           
           
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0.004502,       0.005074,       0.006707,       0.009356,       0.012933,       0.017303,       0.022298,       0.027717,      

        

        

           
           
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0.033338,       0.038930,       0.044258,       0.049098,       0.053243,       0.056519,       0.058784,       0.059941,      

        

        

           
           
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0.059941,       0.058784,       0.056519,       0.053243,       0.049098,       0.044258,       0.038930,       0.033338,      

        

        

           
           
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0.027717,       0.022298,       0.017303,       0.012933,       0.009356,       0.006707,       0.005074,       0.004502

        

        

           
           
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};

        

        

           
           
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