# cordicatan2

## Description

example

theta = cordicatan2(y,x) computes the four quadrant arctangent of y and x using a CORDIC algorithm approximation.

theta = cordicatan2(y,x,niters) performs niters iterations of the algorithm.

## Examples

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Define floating-point Cartesian coordinates.

y = 0.5;
x = -0.5;

Use cordicatan2 to compute floating-point CORDIC arctangent. Compare the result to the arctangent computed using atan2.

theta_cdat2_float = cordicatan2(y,x)
theta_cdat2_float = 2.3562
theta_atan2_float = atan2(y,x)
theta_atan2_float = 2.3562

Define fixed-point Cartesian coordinates.

y = fi(0.5,1,16,15);
x = fi(-0.5,1,16,15);

Use cordicatan2 to compute fixed-point CORDIC arctangent. Compare the result to the arctangent computed using atan2.

theta_cdat2_fixpt = cordicatan2(y,x)
theta_cdat2_fixpt =
2.3562

DataTypeMode: Fixed-point: binary point scaling
Signedness: Signed
WordLength: 16
FractionLength: 13
theta_atan2_fixpt = atan2(y,x)
theta_atan2_fixpt =
2.3562

DataTypeMode: Fixed-point: binary point scaling
Signedness: Signed
WordLength: 16
FractionLength: 13

## Input Arguments

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Cartesian y-coordinate, specified as a scalar, vector, matrix, or multidimensional array.

y and x must be the same size. If they are not the same size, at least one value must be a scalar value. y and x must have the same data type.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | fi
Complex Number Support: Yes

Cartesian x-coordinate, specified as a scalar, vector, matrix, or multidimensional array.

y and x must be the same size. If they are not the same size, at least one value must be a scalar value. y and x must have the same data type.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | fi
Complex Number Support: Yes

Number of iterations of CORDIC algorithm, specified as a positive, integer-valued scalar.

Increasing the number of iterations can produce more accurate results, but also increases the expense of the computation and adds latency.

If you do not specify niters, or if you specify a value that is too large, the algorithm uses a maximum value. For fixed-point operation, the maximum number of iterations is one less than the word length of y or x. For floating-point operation, the maximum value is 52 for double or 23 for single.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | fi

## Output Arguments

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Arctangent value in the range [-pi, pi] radians, returned as a scalar, vector, matrix, or multidimensional array.

If y and x are floating-point numbers, then theta has the same data type as y and x. Otherwise, theta is a fixed-point data type with the same word length as y and x and with a best-precision fraction length for the [-pi, pi] range.

## Algorithms

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### CORDIC

CORDIC is an acronym for COordinate Rotation DIgital Computer. The Givens rotation-based CORDIC algorithm is one of the most hardware-efficient algorithms available because it requires only iterative shift-add operations (see References). The CORDIC algorithm eliminates the need for explicit multipliers. Using CORDIC, you can calculate various functions such as sine, cosine, arc sine, arc cosine, arc tangent, and vector magnitude. You can also use this algorithm for divide, square root, hyperbolic, and logarithmic functions.

Increasing the number of CORDIC iterations can produce more accurate results, but doing so increases the expense of the computation and adds latency.

### CORDIC Vectoring Kernel

The accuracy of the CORDIC kernel depends on the choice of initial values for X, Y, and Z. This algorithm uses the following initial values:

• X0 is initialized to the X input value

• Y0 is initialized to the Y input value

• Z0 is initialized 0

### fimath Propagation Rules

CORDIC functions discard any local fimath attached to the input.

The CORDIC functions use their own internal fimath when performing calculations:

• OverflowActionWrap

• RoundingMethodFloor

The output has no attached fimath.

## Version History

Introduced in R2011b