CORDIC Algorithms in MATLAB

CORDIC algorithm operations in MATLAB^®

CORDIC (COordinate Rotation DIgital Computer) based algorithms are some of the most hardware efficient algorithms because they require only iterative shift-add operations. The CORDIC algorithm eliminates the need for explicit multipliers, and is suitable for calculating a variety of functions.

Functions

`cordicabs`	CORDIC-based absolute value
`cordicacos`	CORDIC-based approximation of inverse cosine
`cordicangle`	CORDIC-based phase angle
`cordicasin`	CORDIC-based approximation of inverse sine
`cordicatan2`	CORDIC-based four quadrant inverse tangent
`cordiccart2pol`	CORDIC-based approximation of Cartesian-to-polar conversion
`cordiccos`	CORDIC-based approximation of cosine
`cordiccexp`	CORDIC-based approximation of complex exponential
`fixed.cordicDivide`	Fixed-point divide using CORDIC
`cordicpol2cart`	CORDIC-based approximation of polar-to-Cartesian conversion
`fixed.cordicReciprocal`	Fixed-point reciprocal using CORDIC
`cordicrotate`	Rotate input using CORDIC-based approximation
`cordicsin`	CORDIC-based approximation of sine
`cordicsincos`	CORDIC-based approximation of sine and cosine
`cordicsqrt`	CORDIC-based approximation of square root
`cordictanh`	CORDIC-based hyperbolic tangent

Featured Examples

Compute Square Root Using CORDIC

Compute square root using a CORDIC kernel algorithm in MATLAB.

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Perform QR Factorization Using CORDIC

Write MATLAB code that works for both floating-point and fixed-point data types. The algorithm used in this example is the QR factorization implemented via CORDIC.

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