 CMSIS-DSP  Version 1.9.0 CMSIS DSP Software Library
Linear Interpolation

## Functions

float32_t arm_linear_interp_f32 (arm_linear_interp_instance_f32 *S, float32_t x)
Process function for the floating-point Linear Interpolation Function. More...

q31_t arm_linear_interp_q31 (q31_t *pYData, q31_t x, uint32_t nValues)
Process function for the Q31 Linear Interpolation Function. More...

q15_t arm_linear_interp_q15 (q15_t *pYData, q31_t x, uint32_t nValues)
Process function for the Q15 Linear Interpolation Function. More...

q7_t arm_linear_interp_q7 (q7_t *pYData, q31_t x, uint32_t nValues)
Process function for the Q7 Linear Interpolation Function. More...

float16_t arm_linear_interp_f16 (arm_linear_interp_instance_f16 *S, float16_t x)
Process function for the floating-point Linear Interpolation Function. More...

## Description

Linear interpolation is a method of curve fitting using linear polynomials. Linear interpolation works by effectively drawing a straight line between two neighboring samples and returning the appropriate point along that line Linear interpolation
A Linear Interpolate function calculates an output value(y), for the input(x) using linear interpolation of the input values x0, x1( nearest input values) and the output values y0 and y1(nearest output values)
Algorithm:
```      y = y0 + (x - x0) * ((y1 - y0)/(x1-x0))
where x0, x1 are nearest values of input x
y0, y1 are nearest values to output y
```
This set of functions implements Linear interpolation process for Q7, Q15, Q31, and floating-point data types. The functions operate on a single sample of data and each call to the function returns a single processed value. `S` points to an instance of the Linear Interpolate function data structure. `x` is the input sample value. The functions returns the output value.
if x is outside of the table boundary, Linear interpolation returns first value of the table if x is below input range and returns last value of table if x is above range.

end of SplineInterpolate group

## Function Documentation

 float16_t arm_linear_interp_f16 ( arm_linear_interp_instance_f16 * S, float16_t x )
Parameters
 [in,out] S is an instance of the floating-point Linear Interpolation structure [in] x input sample to process
Returns
y processed output sample.
 float32_t arm_linear_interp_f32 ( arm_linear_interp_instance_f32 * S, float32_t x )
Parameters
 [in,out] S is an instance of the floating-point Linear Interpolation structure [in] x input sample to process
Returns
y processed output sample.
Examples:
arm_linear_interp_example_f32.c.
 q15_t arm_linear_interp_q15 ( q15_t * pYData, q31_t x, uint32_t nValues )
Parameters
 [in] pYData pointer to Q15 Linear Interpolation table [in] x input sample to process [in] nValues number of table values
Returns
y processed output sample.
Input sample `x` is in 12.20 format which contains 12 bits for table index and 20 bits for fractional part. This function can support maximum of table size 2^12.
 q31_t arm_linear_interp_q31 ( q31_t * pYData, q31_t x, uint32_t nValues )
Parameters
 [in] pYData pointer to Q31 Linear Interpolation table [in] x input sample to process [in] nValues number of table values
Returns
y processed output sample.
Input sample `x` is in 12.20 format which contains 12 bits for table index and 20 bits for fractional part. This function can support maximum of table size 2^12.
 q7_t arm_linear_interp_q7 ( q7_t * pYData, q31_t x, uint32_t nValues )
Parameters
 [in] pYData pointer to Q7 Linear Interpolation table [in] x input sample to process [in] nValues number of table values
Returns
y processed output sample.
Input sample `x` is in 12.20 format which contains 12 bits for table index and 20 bits for fractional part. This function can support maximum of table size 2^12.