Trigonometric Function
Specified trigonometric function on input
 Library:
Simulink / Math Operations
HDL Coder / Math Operations
Description
The Trigonometric Function block performs common trigonometric functions and outputs the result in rad or rev.
Supported Functions
You can select one of these functions from the Function parameter list.
Function  Description  Mathematical Expression  MATLAB^{®} Equivalent 

sin
 Sine of the input 

sin

cos
 Cosine of the input 

cos

tan
 Tangent of the input 

tan

asin
 Inverse sine of the input 

asin

acos
 Inverse cosine of the input 

acos

atan
 Inverse tangent of the input 

atan

atan2
 Fourquadrant inverse tangent of the input 

atan2

sinh
 Hyperbolic sine of the input 

sinh

cosh
 Hyperbolic cosine of the input 

cosh

tanh
 Hyperbolic tangent of the input 

tanh

asinh
 Inverse hyperbolic sine of the input 

asinh

acosh
 Inverse hyperbolic cosine of the input 

acosh

atanh
 Inverse hyperbolic tangent of the input 

atanh

sincos
 Sine of the input; cosine of the input  —  — 
cos + jsin
 Complex exponential of the input  —  — 
CORDIC Approximation Method
CORDIC is an acronym for COordinate Rotation DIgital Computer. The Givens rotationbased CORDIC algorithm is one of the most hardwareefficient algorithms available because it requires only iterative shiftadd operations. For more information, see More About. The block input has further requirements.
For more information on when you set Function to
sin
, cos
, sincos
, or
cos + jsin
and set the Approximation
method to CORDIC
, see Port_1.
This table summarizes what happens for an invalid input.
Block Usage  Effect of Invalid Input 

Simulation modes  An error appears. 
Generated code  Undefined behavior occurs. Avoid relying on undefined behavior for generated code. 
Lookup Approximation Method
For more information on when you set Function to
sin
, cos
, sincos
,
or cos + jsin
and set the Approximation method
to Lookup
, see Port_1.
Ports
Input
Port_1
— Input signal
scalar  vector  matrix
Input specified as a scalar, vector, or matrix. The block accepts input signals of the following data types:
Functions  Input Data Types 





CORDIC approximation fixedpoint type propagations:
Input Data Type  Function  Output Data Type 

Fixed point, signed or unsigned  sin , cos ,
sincos , and cos +
jsin 
This fixedpoint type provides the best precision for the CORDIC algorithm. 
Fixed point, signed  atan2 

Fixed point, unsigned  atan2 

Lookup approximation fixedpoint type propagations:
Input Data Type  Function  Output Data Type 

Fixed point, signed  sin , cos ,
sincos , cos +
jsin , atan2 

Fixed point, unsigned  sin , cos ,
sincos , cos +
jsin , atan2 

Dependencies
When you set Function to
atan2
, the block shows two input ports. The first input (Port_1) is the yaxis or imaginary part of the function argument. The second input (Port_2) is the xaxis or real part of the function argument.You can use floatingpoint input signals when you set Approximation method to
None
,CORDIC
, orLookup
. However, the block output data type depends on which of these approximation method options you choose.Input Data Type Approximation Method Output Data Type Floating point
None
Depends on your selection for Output signal type. Options are
auto
(same data type as input),real
, orcomplex
.Floating point
CORDIC
Same as input. Output signal type is not available when you use the CORDIC approximation method to compute the block output.
Floating point
Lookup
Same as input. Output signal type is not available when you use the Lookup approximation method to compute the block output.
For CORDIC and Lookup approximations:
Input must be real for the
sin
,cos
,sincos
,cos + jsin
, andatan2
functions.Output is real for the
sin
,cos
,sincos
, andatan2
functions.Output is complex for the
cos + jsin
function.
Limitations
You can use fixedpoint input signals only when Approximation method is set to
CORDIC
orLookup
. The CORDIC and Lookup approximations are available for thesin
,cos
,sincos
,cos + jsin
, andatan2
functions.Complex input signals are supported for all functions in this block except
atan2
.When you set Approximation method to
Lookup
, the number of data points are limited by:smallEnoughNumDataPoints = 2^{(inputFractionLen2)}+1
bigEnoughFractionLen = log2(numberOfDataPoints  1)+2
where:
smallEnoughNumDataPoints is the maximum number of data points represented by specified input fraction length, inputFractionLen.
bigEnoughFractionLen is the minimum fraction length needed to represent specified number of data points, numberOfDataPoints.
When you set Function to
sin
,cos
,sincos
, orcos + jsin
and set the Approximation method toCORDIC
, the block has these limitations:When you use signed fixedpoint types, the input angle must fall within the range [–2π, 2π) rad.
When you use unsigned fixedpoint types, the input angle must fall within the range [0, 2π) rad.
When you set Function to
atan2
and the Approximation method toCORDIC
, the block has these limitations:Inputs must be the same size, or at least one value must be a scalar value.
Both inputs must have the same data type.
When you use signed fixedpoint types, the word length must be
126
or less.When you use unsigned fixedpoint types, the word length must be
125
or less.
When you set Function to
sin
,cos
,sincos
, orcos + jsin
and set the Approximation method toLookup
, the block has these limitations.When you use signed fixedpoint types, the input angle must fall within the range [2π,2π] rad.
When you use unsigned fixedpoint types, the input angle must fall within the range [0,2π) rad.
When you set Function to
atan2
and the Approximation method toLookup
, the block has these limitations:Inputs must be the same size, or at least one value must be a scalar value.
Both inputs must have the same data type.
Data Types: half
 single
 double
 int8
 int16
 int32
 int64
 uint8
 uint16
 uint32
 uint64
 fixed point
Port_2
— xaxis or real part of the function argument for atan2
scalar  vector  matrix
Input the xaxis or real part of the function
argument for atan2
. When you set
Function to atan2
, the block
shows two input ports. The first input (Port_1) is
the yaxis or imaginary part of the function
argument. The second input (Port_2) is the
xaxis or real part of the function argument.
(See Port Location After Rotating or Flipping for a description of
the port order for various block orientations.)
Dependencies
To enable this port, set Function to
atan2
.
Limitations
Fixedpoint input signals are supported only when you set Approximation method to
CORDIC
orLookup
.
Data Types: half
 single
 double
 int8
 int16
 int32
 int64
 uint8
 uint16
 uint32
 uint64
 fixed point
Output
Port_1
— Specified trigonometric function of input
scalar  vector  matrix
Result of applying the specified trigonometric function to one or more inputs in rad. Each function supports:
Scalar operations
Elementwise vector and matrix operations
Data Types: half
 single
 double
 int8
 int16
 int32
 int64
 uint8
 uint16
 uint32
 uint64
 fixed point
sin
— Sine of input signal
scalar  vector  matrix
Sine of the input signal, in rad and rev.
Dependencies
To enable this port, set Function to
sincos
.
Limitations
Fixedpoint input signals are supported only when you set Approximation
method to CORDIC
or
Lookup
.
Data Types: half
 single
 double
 int8
 int16
 int32
 int64
 uint8
 uint16
 uint32
 uint64
 fixed point
cos
— Cosine of input signal
scalar  vector  matrix
Cosine of the input signal, in rad and rev.
Dependencies
To enable this port, set Function to
sincos
.
Limitations
Fixedpoint input signals are supported only when you set Approximation
method to CORDIC
or
Lookup
.
Data Types: half
 single
 double
 int8
 int16
 int32
 int64
 uint8
 uint16
 uint32
 uint64
 fixed point
Parameters
Algorithm
Function
— Trigonometric function
sin
(default)  cos
 tan
 asin
 acos
 atan
 atan2
 sinh
 cosh
 tanh
 asinh
 acosh
 atanh
 sincos
 cos + jsin
Specify the trigonometric function. The name of the function on the block icon changes to match your selection.
For more information on when you set Function to
sin
, cos
,
sincos
, or cos + jsin
and set
the Approximation method to
CORDIC
, see Limitations.
Programmatic Use
Block Parameter:
Operator 
Type: character vector 
Values:
'sin'  'cos'  'tan'  'asin'  'acos'  'atan' 
'atan2'  'sinh'  'cosh'  'tanh'  'asinh'  'acosh' 
'atanh'  'sincos'  'cos + jsin' 
Default:
'sin' 
Approximation method
— CORDIC, Lookup, or none
None
(default)  CORDIC
 Lookup
Specify the type of approximation for computing output.
Approximation Method  Data Types Supported  When to Use This Method 

None (default)  Floating point  You want to use the default Taylor series algorithm. 
CORDIC
 Floating point and fixed point  You want a fast, approximate iterative calculation. 
Lookup
 Floating point and fixed point (double and single)  You want a fast, approximate lookup table implementation. 
For more information on when you set Function to
sin
, cos
,
sincos
, or cos + jsin
and set
the Approximation method to
CORDIC
, see Limitations.
Dependencies
To enable this parameter, set Function to
sin
,cos
,sincos
,cos + jsin
, oratan2
.To use fixedpoint input signals, you must set Approximation method to
CORDIC
orLookup
.To enable the Table data type parameter, set this method to
Lookup
.
Programmatic Use
Block Parameter:
ApproximationMethod 
Type: character vector 
Values:
'None'  'CORDIC'  'Lookup' 
Default:
'None' 
Interpolation method
— Method of interpolation between breakpoint values
Linear pointslope
(default)  Flat
When an input falls between breakpoint values, the block interpolates the output value using neighboring breakpoints. For more information on interpolation methods, see Interpolation Methods.
Programmatic Use
Block Parameter:
InterpMethod 
Type: character vector 
Values:
'Linear pointslope'  'Flat' 
Default:
'Linear pointslope' 
Number of iterations
— Number of iterations for CORDIC algorithm
11
(default)  positive integer, less than or equal to word length of fixedpoint
input
Specify the number of iterations to perform the CORDIC algorithm. The default value is 11.
When the block input uses a floatingpoint data type, the number of iterations can be a positive integer.
When the block input is a fixedpoint data type, the number of iterations cannot exceed the word length.
For example, if the block input is
fixdt(1,16,15)
, the word length is 16. In this case, the number of iterations cannot exceed 16.
Dependencies
To enable this parameter, you must set the Function and Approximation method parameters as follows:
Set Function to
sin
,cos
,sincos
,cos + jsin
, oratan2
.Set Approximation method to
CORDIC
.
Programmatic Use
Block Parameter:
NumberOfIterations 
Type: character vector 
Values: positive integer, less than or equal to word length of fixedpoint input 
Default:
'11' 
Angle unit
— Angle unit
radian
(default)  revolution
Specify the angle unit for lookup method as
radian
or
revolution
.
Dependencies
To enable this parameter:
Set Function to
sin
,cos
,sincos
,cos + jsin
, oratan2
.Set Approximation method to
Lookup
.
Programmatic Use
Block Parameter:
AngleUnit 
Type: character vector 
Values:
'radian'  'revolution' 
Default:
'radian' 
Number of data points
— Number of data points for lookup table
16
(default)  scalar
Specify the number of data points for lookup table as a scalar real number.
Dependencies
To enable this parameter:
Set Function to
sin
,cos
,sincos
,cos + jsin
, oratan2
.Set Approximation method to
Lookup
.
Programmatic Use
Block Parameter:
NumberOfDataPoints 
Type: character vector 
Values: scalar 
Default:
'16' 
Output signal type
— Complexity of output signal
auto
(default)  real
 complex
Specify the output signal type of the Trigonometric
Function block as auto
,
real
, or complex
.
Function  Input Signal Type  Output Signal Type  

Auto  Real  Complex  
Any selection for the Function parameter  real  real  real  complex 
complex  complex  error  complex 
Dependencies
Setting Approximation method to
CORDIC
disables this
parameter.
Note
When Function is
atan2
, complex input signals are not
supported for simulation or code generation.
Programmatic Use
Block Parameter:
OutputSignalType 
Type: character vector 
Values:
'auto'  'real'  'complex' 
Default:
'auto' 
Remove protection against outofrange input
— Remove protection against outofrange input
off (default)  on
For acos
and
asin
, select this check box to remove the
protection against outofrange inputs, which reduces redundancy.
When you clear this check box, the protection is enabled. The block saturates outofrange inputs to
1
or1
before any operation is performed. Generated code contains code to check for outofrange input.When you select this check box, the protection is removed. The block performs all operations on the input value without any changes. Generated code does not contain code to check for the outofrange input.
Enabling this check box can eliminate redundancy if the input is already in range.
Dependencies
Setting Function to
acos
and
asin
enables this parameter.
Programmatic Use
Block Parameter:
RemoveProtectionAgainstOutOfRangeInput 
Type: character vector 
Values:
'off'  'on' 
Default:
'off' 
Sample time
— Sample time value other than 1
1
(default)  scalar  vector
Specify the sample time as a value other than 1
. For more
information, see Specify Sample Time.
Dependencies
This parameter is not visible unless it is explicitly set to a value other than
1
. To learn more, see Blocks for Which Sample Time Is Not Recommended.
Programmatic Use
Block Parameter:
SampleTime 
Type: string scalar or character vector 
Default:
"1" 
Data Types
Table data type
— Data type of table
Inherit: Inherit via
input
(default)  double
 single
 fixdt(1,16,0)
 <data type expression>
Data type for the lookup table, specified as:
Inherit: Inherit via input
double
single
fixdt(1,16,0)
<data type expression>
For more information on setting data types, see Control Data Types of Signals.
Programmatic Use
Block Parameter:
TableDataTypeStr 
Type: string scalar or character vector 
Values:
Inherit: Inherit via input 
single  double 
fixdt(1,16,0)  data type
expression 
Default:
Inherit: Inherit via input 
Mode
— Category of data to specify
Inherit
(default)  Built in
 Fixed point
 Expression
Select how you would like to specify the data type properties of the Output data type. You can choose:
Inherit
— Lets you specify a rule for inheriting a data type, for example,Inherit: Inherit via internal rule
Built in
— Lets you specify a builtin data type.Fixed point
— Lets you specify the fixedpoint attributes of the data type.Expression
— Lets you specify an expression that evaluates to a valid data type, for example,fixdt([],16,0)
Dependencies
To enable this parameter, click >> at the Output data type parameter.
Signedness
— Specify signed or unsigned
Signed
(default)  Unsigned
Specify the Signedness for the Output data type.
Dependencies
To enable this parameter, set Mode to
Fixed point
.
Scaling
— Method for scaling fixedpoint data
Binary point
(default)
Specify the Scaling for the Output data type.
Dependencies
To enable this parameter, set Mode to
Fixed point
.
Data type override
— Specify data type override mode for this signal
Inherit
 Off
Select the data type override mode for this signal.
Inherit
— Inherits the data type override setting specified for the model.Off
— Ignores the data type override setting specified for the model and uses the fixedpoint data type you specify
For more information, see Specify Data Types Using Data Type Assistant in the Simulink^{®} documentation.
Tips
The ability to turn off data type override for an individual data type provides greater control over the data types in your model when you apply data type override. For example, you can use this option to ensure that data types meet the requirements of downstream blocks regardless of the data type override setting.
Dependencies
To enable this parameter, click the Show data type
assistant button, and set Mode
to Built in
or Fixed
point
.
Word length
— Bit size of the word that holds the quantized integer
16
(default)  integer from 0 to 32
Specify the bit size of the word that holds the quantized integer. For more information, see Specifying a FixedPoint Data Type.
Dependencies
To enable this parameter, set Mode to
Fixed point
.
Fraction length
— Specify fraction length for fixedpoint data type
0
(default)  scalar integer
Specify fraction length for fixedpoint data type as a positive or negative integer. For more information, see Specifying a FixedPoint Data Type.
Dependencies
To enable this parameter, set:
Mode to
Fixed point
Scaling to
Binary point
Model Examples
Block Characteristics
Data Types 

Direct Feedthrough 

Multidimensional Signals 

VariableSize Signals 

ZeroCrossing Detection 

^{a} This block supports fixedpoint and base integer data types for 'Approximation method' CORDIC. 
More About
CORDIC
CORDIC is an acronym for COordinate Rotation DIgital Computer. The Givens rotationbased CORDIC algorithm is one of the most hardwareefficient algorithms available because it requires only iterative shiftadd 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.
References
[1] Volder, Jack E., “The CORDIC Trigonometric Computing Technique.” IRE Transactions on Electronic Computers EC8 (1959); 330–334.
[2] Andraka, Ray “A Survey of CORDIC Algorithm for FPGA Based Computers.” Proceedings of the 1998 ACM/SIGDA Sixth International Symposium on Field Programmable Gate Arrays. Feb. 22–24 (1998): 191–200.
[3] Walther, J.S., “A Unified Algorithm for Elementary Functions,” Proceedings of the Spring Joint Computer Conference, May 1820, 1971: 379–386.
[4] Schelin, Charles W., “Calculator Function Approximation,” The American Mathematical Monthly 90, no. 5 (1983): 317–325.
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.
Not all compilers support the asinh
, acosh
,
and atanh
functions. If you use a compiler that does not support
those functions, a warning appears and the generated code fails to link.
HDL Code Generation
Generate Verilog and VHDL code for FPGA and ASIC designs using HDL Coder™.
HDL Coder™ provides additional configuration options that affect HDL implementation and synthesized logic.
You can generate HDL code for all functions of the block
with floatingpoint data types and architecture set to
Trigonometric
in native floatingpoint mode. The native
floatingpoint mode does not support double
data types for
the block.
This block has multicycle implementations that introduce additional latency in the generated code. To see the added latency, view the generated model or validation model. See Generated Model and Validation Model (HDL Coder).
The Trigonometric Function block supports HDL code generation for these functions in this
table with CORDIC
approximation method and
Cordic
HDL architecture for fixedpoint data
types.
sin
cos
sincos
cos+jsin
atan2
The latency calculation depends on the word length and LatencyStrategy settings. To learn more, open the
HDLMathLib
library.
HDLMathLib
General  

ConstrainedOutputPipeline  Number of registers to place at
the outputs by moving existing delays within your design. Distributed
pipelining does not redistribute these registers. The default is

InputPipeline  Number of input pipeline stages
to insert in the generated code. Distributed pipelining and constrained
output pipelining can move these registers. The default is

OutputPipeline  Number of output pipeline stages
to insert in the generated code. Distributed pipelining and constrained
output pipelining can move these registers. The default is

LatencyStrategy  To enable this property for fixedpoint types, set
Function as 
CustomLatency  To enable this property for fixedpoint types, set
Function as 
Native Floating Point  

InputRangeReduction  Use this property for the sin, cos, tan,
sincos, and cos+jsin
functions. If your input range is unbounded, enable this
property for HDL Coder to insert additional logic to reduce the range
of inputs to 
HandleDenormals  Specify whether you want HDL Coder to insert additional logic to handle denormal numbers in your design.
Denormal numbers are numbers that have magnitudes less than the smallest floatingpoint
number that can be represented without leading zeros in the mantissa. The default is

LatencyStrategy  Specify whether to map the blocks in your design to

MultiplyStrategy  Use this property for the sin, cos, tan,
sincos, and cos+jsin
functions. The default is 
To see the latency calculation for fixedpoint types with the block, at the MATLAB command prompt, enter:
HDLMathLib
For the
sin
andcos
functions, only signed fixedpoint data types are supported for CORDIC approximations.For functions that have the CORDIC mode such as
sin
,cos
,sincos
,atan2
, andcos+jsin
, fixedpoint data types greater than127
bits are not supported for HDL code generation.HDL Coder displays an error when you select these settings for a Trigonometric Function block inside a feedback loop:
HDL architecture as
SinCosCordic
UsePipelinedKernel as
On
The error occurs because the block is in a feedback loop and the code generator is unable to insert additional latency. To avoid this error, add a delay of length equal to the Number of iterations + 3 adjacent to the block. The code generator then absorbs this delay to meet the additional latency of the Trigonometric Function block.
For example, this Trigonometric Function block has Number of iterations set to
30
. A Delay of length33
adjacent to the block meets the additional latency.
PLC Code Generation
Generate Structured Text code using Simulink® PLC Coder™.
FixedPoint Conversion
Design and simulate fixedpoint systems using FixedPoint Designer™.
This block supports fixedpoint and base integer data types when you set the
Function to sin
,
cos
, sincos
,
cos + jsin
, or atan2
and set the
Approximation method to
CORDIC
.
Version History
See Also
Blocks
Functions
cordicsin
(FixedPoint Designer) cordiccos
(FixedPoint Designer) cordicsincos
(FixedPoint Designer)
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