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/* ----------------------------------------------------------------------
* Copyright (C) 2010-2011 ARM Limited. All rights reserved.
*
* $Date: 15. February 2012
* Project: CMSIS DSP Library
* Title: arm_math.h
* Description: Public header file for CMSIS DSP Library
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*
* Target Processor: Cortex-M4/Cortex-M3/Cortex-M0
*
* Version 1.1.0 2012/02/15
* Updated with more optimizations, bug fixes and minor API changes.
*
* 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 functions 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>Pre-processor Macros</b>
*
* Each library project have differant pre-processor macros.
*
* - UNALIGNED_SUPPORT_DISABLE:
*
* Define macro UNALIGNED_SUPPORT_DISABLE, If the silicon does not support unaligned memory access
*
* - ARM_MATH_BIG_ENDIAN:
*
* Define macro ARM_MATH_BIG_ENDIAN to build the library for big endian targets. By default library builds for little endian targets.
*
* - ARM_MATH_MATRIX_CHECK:
*
* Define macro ARM_MATH_MATRIX_CHECK for checking on the input and output sizes of matrices
*
* - ARM_MATH_ROUNDING:
*
* Define macro ARM_MATH_ROUNDING for rounding on support functions
*
* - ARM_MATH_CMx:
*
* 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.
*
* - __FPU_PRESENT:
*
* Initialize macro __FPU_PRESENT = 1 when building on FPU supported Targets. Enable this macro for M4bf and M4lf libraries
*
* <b>Toolchain Support</b>
*
* The library has been developed and tested with MDK-ARM version 4.23.
* 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
*
*
* The project can be built by opening the appropriate project in MDK-ARM 4.23 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>
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