arm_math.h ( File view )

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			/* ----------------------------------------------------------------------   
 * Copyright (C) 2010 ARM Limited. All rights reserved.   
 *   
 * $Date:        15. July 2011  
 * $Revision: 	V1.0.10  
 *   
 * Project: 	    CMSIS DSP Library   
 * Title:	     arm_math.h
 *   
 * Description:	 Public header file for CMSIS DSP Library
 *   
 * Target Processor: Cortex-M4/Cortex-M3/Cortex-M0
 *  
 * Version 1.0.10 2011/7/15 
 *    Big Endian support added and Merged M0 and M3/M4 Source code.  
 *   
 * Version 1.0.3 2010/11/29  
 *    Re-organized the CMSIS folders and updated documentation.   
 *    
 * Version 1.0.2 2010/11/11   
 *    Documentation updated.    
 *   
 * Version 1.0.1 2010/10/05    
 *    Production release and review comments incorporated.   
 *   
 * Version 1.0.0 2010/09/20    
 *    Production release and review comments incorporated.   
 * -------------------------------------------------------------------- */

/**
   \mainpage CMSIS DSP Software Library
   *
   * <b>Introduction</b>
   *
   * This user manual describes the CMSIS DSP software library, 
   * a suite of common signal processing functions for use on Cortex-M processor based devices.
   *
   * The library is divided into a number of modules each covering a specific category:
   * - Basic math functions
   * - Fast math functions
   * - Complex math functions
   * - Filters
   * - Matrix functions
   * - Transforms
   * - Motor control functions
   * - Statistical functions
   * - Support functions
   * - Interpolation functions
   *
   * The library has separate functions for operating on 8-bit integers, 16-bit integers,
   * 32-bit integer and 32-bit floating-point values. 
   *
   * <b>Processor Support</b>
   *
   * The library is completely written in C and is fully CMSIS compliant. 
   * High performance is achieved through maximum use of Cortex-M4 intrinsics. 
   *
   * The supplied library source code also builds and runs on the Cortex-M3 and Cortex-M0 processor,
   * with the DSP intrinsics being emulated through software. 
   *
   *
   * <b>Toolchain Support</b>
   *
   * The library has been developed and tested with MDK-ARM version 4.21. 
   * The library is being tested in GCC and IAR toolchains and updates on this activity will be made available shortly.
   *
   * <b>Using the Library</b>
   *
   * The library installer contains prebuilt versions of the libraries in the <code>Lib</code> folder.
   * - arm_cortexM4lf_math.lib (Little endian and Floating Point Unit on Cortex-M4)
   * - arm_cortexM4bf_math.lib (Big endian and Floating Point Unit on Cortex-M4)
   * - arm_cortexM4l_math.lib (Little endian on Cortex-M4)
   * - arm_cortexM4b_math.lib (Big endian on Cortex-M4)
   * - arm_cortexM3l_math.lib (Little endian on Cortex-M3)
   * - arm_cortexM3b_math.lib (Big endian on Cortex-M3)
   * - arm_cortexM0l_math.lib (Little endian on Cortex-M0)
   * - arm_cortexM0b_math.lib (Big endian on Cortex-M3)
   *
   * The library functions are declared in the public file <code>arm_math.h</code> which is placed in the <code>Include</code> folder.
   * Simply include this file and link the appropriate library in the application and begin calling the library functions. The Library supports single 
   * public header file <code> arm_math.h</code> for Cortex-M4/M3/M0 with little endian and big endian. Same header file will be used for floating point unit(FPU) variants. 
   * Define the appropriate pre processor MACRO ARM_MATH_CM4 or  ARM_MATH_CM3 or 
   * ARM_MATH_CM0 depending on the target processor in the application.
   *
   * <b>Examples</b>
   *
   * The library ships with a number of examples which demonstrate how to use the library functions.
   *
   * <b>Building the Library</b>
   *
   * The library installer contains project files to re build libraries on MDK Tool chain in the <code>CMSIS\DSP_Lib\Source\ARM</code> folder.
   * - arm_cortexM0b_math.uvproj
   * - arm_cortexM0l_math.uvproj
   * - arm_cortexM3b_math.uvproj
   * - arm_cortexM3l_math.uvproj  
   * - arm_cortexM4b_math.uvproj
   * - arm_cortexM4l_math.uvproj
   * - arm_cortexM4bf_math.uvproj
   * - arm_cortexM4lf_math.uvproj
   *
   * Each library project have differant pre-processor macros.
   *
   * <b>ARM_MATH_CMx:</b>
   * Define macro ARM_MATH_CM4 for building the library on Cortex-M4 target, ARM_MATH_CM3 for building library on Cortex-M3 target
   * and ARM_MATH_CM0 for building library on cortex-M0 target.
   *
   * <b>ARM_MATH_BIG_ENDIAN:</b>
   * Define macro ARM_MATH_BIG_ENDIAN to build the library for big endian targets. By default library builds for little endian targets.
   *
   * <b>ARM_MATH_MATRIX_CHECK:</b>
   * Define macro for checking on the input and output sizes of matrices
   *
   * <b>ARM_MATH_ROUNDING:</b>
   * Define macro for rounding on support functions
   *
   * <b>__FPU_PRESENT:</b>
   * Initialize macro __FPU_PRESENT = 1 when building on FPU supported Targets. Enable this macro for M4bf and M4lf libraries 
   *
   *
   * The project can be built by opening the appropriate project in MDK-ARM 4.21 chain and defining the optional pre processor MACROs detailed above.
   *
   * <b>Copyright Notice</b>
   *
   * Copyright (C) 2010 ARM Limited. All rights reserved.
   */


/**
 * @defgroup groupMath Basic Math Functions
 */

/**
 * @defgroup groupFastMath Fast Math Functions
 * This set of functions provides a fast approximation to sine, cosine, and square root.
 * As compared to most of the other functions in the CMSIS math library, the fast math functions
 * operate on individual values and not arrays.
 * There are separate functions for Q15, Q31, and floating-point data.
 *
 */

/**
 * @defgroup groupCmplxMath Complex Math Functions
 * This set of functions operates on complex data vectors.
 * The data in the complex arrays is stored in an interleaved fashion
 * (real, imag, real, imag, ...).
 * In the API functions, the number of samples in a complex array refers
 * to the number of complex values; the array contains twice this number of
 * real values.
 */

/**
 * @defgroup groupFilters Filtering Functions
 */

/**
 * @defgroup groupMatrix Matrix Functions
 *
 * This set of functions provides basic matrix math operations.
 * The functions operate on matrix data structures.  For example,
 * the type
 * definition for the floating-point matrix structure is shown
 * below:
 * <pre>
 *     typedef struct
 *     {

 *       uint16_t numRows;     // number of rows of the matrix.
 *       uint16_t numCols;     // number of columns of the matrix.
 *       float32_t *pData;     // points to the data of the matrix.
 *     
} arm_matrix_instance_f32;
 * </pre>
 * There are similar definitions for Q15 and Q31 data types.
 *
 * The structure specifies the size of the matrix and then points to
 * an array of data.  The array is of size <code>numRows X numCols</code>
 * and the values are arranged in row order.  That is, the
 * matrix element (i, j) is stored at:
 * <pre>
 *     pData[i*numCols + j]
 * </pre>
 *
 * \par Init Functions
 * There is an associated initialization function for each type of matrix
 * data structure.
 * The initialization function sets the values of the internal structure fields.
 * Refer to the function <code>arm_mat_init_f32()</code>, <code>arm_mat_init_q31()</code>
 * and <code>arm_mat_init_q15()</code> for floating-point, Q31 and Q15 types,  respectively.
 *
 * \par
 * Use of the initialization function is optional. However, if initialization function is used
 * then the instance structure cannot be placed into a const data section.
 * To place the instance structure in a const data
 * section, manually initialize the data structure.  For example:
 * <pre>
 * <code>arm_matrix_instance_f32 S = {
nRows, nColumns, pData
};</code>
 * <code>arm_matrix_instance_q31 S = {
nRows, nColumns, pData
};</code>
 * <code>arm_matrix_instance_q15 S = {
nRows, nColumns, pData
};</code>
 * </pre>
 * where <code>nRows</code> specifies the number of rows, <code>nColumns</code>
 * specifies the number of columns, and <code>pData</code> points to the
 * data array.
 *
 * \par Size Checking
 * By default all of the matrix functions perform size checking on the input and
 * output matrices.  For example, the matrix addition function verifies that the
 * two input matrices and the output matrix all have the same number of rows and
 * columns.  If the size check fails the functions return:
 * <pre>
 *     ARM_MATH_SIZE_MISMATCH
 * </pre>
 * Otherwise the functions return
 * <pre>
 *     ARM_MATH_SUCCESS
 * </pre>
 * There is some overhead associated with this matrix size checking.
 * The matrix size checking is enabled via the #define
 * <pre>
 *     ARM_MATH_MATRIX_CHECK
 * </pre>
 * within the library project settings.  By default this macro is defined
 * and size checking is enabled.  By changing the project settings and
 * undefining this macro size checking is eliminated and the functions
 * run a bit faster.  With size checking disabled the functions always
 * return <code>ARM_MATH_SUCCESS</code>.
 */

/**
 * @defgroup groupTransforms Transform Functions
 */

/**
 * @defgroup groupController Controller Functions
 */

/**
 * @defgroup groupStats Statistics Functions
 */
/**
 * @defgroup groupSupport Support Functions
 */

/**
 * @defgroup groupInterpolation Interpolation Functions
 * These functions perform 1- and 2-dimensional interpolation of data.
 * Linear interpolation is used for 1-dimensional data and
 * bilinear interpolation is used for 2-dimensional data.
 */

/**
 * @defgroup groupExamples Examples
 */
#ifndef _ARM_MATH_H
#define _ARM_MATH_H

#define __CMSIS_GENERIC              /* disable NVIC and Systick functions */

#if defined (ARM_MATH_CM4)
  #include "core_cm4.h"
#elif defined (ARM_MATH_CM3)
  #include "core_cm3.h"
#elif defined (ARM_MATH_CM0)
  #include "core_cm0.h"
#else
#include "ARMCM4.h"
#warning "Define either ARM_MATH_CM4 OR ARM_MATH_CM3...By Default building on ARM_MATH_CM4....."
#endif

#undef  _
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