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dsp.FIRInterpolator

Perform polyphase FIR interpolation

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Description

The dsp.FIRInterpolator System object™ performs an efficient polyphase interpolation using an integer upsampling factor L along the first dimension.

Conceptually, the FIR interpolator (as shown in the schematic) consists of an upsampler followed by an FIR anti-imaging filter, which is usually an approximation of an ideal band-limited interpolation filter. The coefficients of the anti-imaging filter can be specified through the Numerator property, or can be automatically designed by the object using the designMultirateFIR function.

The upsampler upsamples each channel of the input to a higher rate by inserting L–1 zeros between samples. The FIR filter that follows filters each channel of the upsampled data. The resulting discrete-time signal has a sample rate that is L times the original sample rate.

FIR interpolator contains an upsampler followed by an anti-imaging FIR filter.

Note that the actual object algorithm implements a direct-form FIR polyphase structure, an efficient equivalent of the combined system depicted in the diagram. For more details, see Algorithms.

To upsample an input:

  1. Create the dsp.FIRInterpolator object and set its properties.

  2. Call the object with arguments, as if it were a function.

To learn more about how System objects work, see What Are System Objects?

This object supports C/C++ code generation and SIMD code generation under certain conditions. For more information, see Code Generation.

Creation

Syntax

firinterp = dsp.FIRInterpolator
firinterp = dsp.FIRInterpolator(L)
firinterp = dsp.FIRInterpolator(L,'Auto')
firinterp = dsp.FIRInterpolator(L,num)
firinterp = dsp.FIRInterpolator(L,method)
firinterp = dsp.FIRInterpolator(___,Name,Value)
firinterp = dsp.FIRInterpolator(L,'legacy')

Description

firinterp = dsp.FIRInterpolator returns an FIR interpolator with an interpolation factor of 3. The object designs the FIR filter coefficients using the designMultirateFIR(3,1) function.

firinterp = dsp.FIRInterpolator(L) returns an FIR interpolator with the integer-valued InterpolationFactor property set to L. The object designs its filter coefficients based on the interpolation factor L that you specify while creating the object using the designMultirateFIR(L,1) function. The designed filter corresponds to a lowpass with a cutoff at π/L in radial frequency units.

firinterp = dsp.FIRInterpolator(L,'Auto') returns an FIR interpolator with the NumeratorSource property set to 'Auto'. In this mode, every time there is an update in the interpolation factor, the object redesigns the filter using the design method specified in DesignMethod.

example

firinterp = dsp.FIRInterpolator(L,num) returns an FIR interpolator with the InterpolationFactor property set to L and the Numerator property set to num.

example

firinterp = dsp.FIRInterpolator(L,method) returns an FIR interpolator with the InterpolationFactor property set to L and the DesignMethod property set to method. When you pass the design method as an input, the NumeratorSource property is automatically set to 'Auto'.

firinterp = dsp.FIRInterpolator(___,Name,Value) returns an FIR interpolator object with each specified property set to the specified value. Enclose each property name in quotes. You can use this syntax with any previous input argument combinations.

firinterp = dsp.FIRInterpolator(L,'legacy') returns an FIR interpolator where the filter coefficients are designed using fir1(15,0.25). The designed filter has a cutoff frequency of 0.25π radians/sample.

Properties

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Unless otherwise indicated, properties are nontunable, which means you cannot change their values after calling the object. Objects lock when you call them, and the release function unlocks them.

If a property is tunable, you can change its value at any time.

For more information on changing property values, see System Design in MATLAB Using System Objects.

Specify the integer factor, L, by which to increase the sampling rate of the input signal. The polyphase implementation uses L polyphase subfilters to compute convolutions at the lower sample rate. The FIR interpolator delays and interleaves these lower-rate convolutions to obtain the higher-rate output.

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

FIR filter coefficient source, specified as either:

  • 'Property' –– The numerator coefficients are specified through the Numerator property.

  • 'Input port' –– The numerator coefficients are specified as an input to the object algorithm.

  • 'Auto' –– The numerator coefficients are designed automatically using the design method specified in DesignMethod.

Numerator coefficients of the anti-imaging FIR filter, specified as a row vector in powers of z–1. The following equation defines the system function for a filter of length N+1:

H(z)=∑n=0Nb(n)z−n

The vector b = [b(0), b(1), …, b(N)] represents the vector of filter coefficients.

To act as an effective anti-imaging filter, the coefficients usually correspond to a lowpass filter with a normalized cutoff frequency no greater than the reciprocal of the InterpolationFactor. Use designMultirateFIR to design such a filter. More generally, any complex bandpass filter can be used. For an example, see Double the Sample Rate Using FIR Interpolator.

The filter coefficients are scaled by the value of the InterpolationFactor property before filtering the signal. To form the L polyphase subfilters, Numerator is appended with zeros if necessary.

Dependencies

This property is visible only when you set NumeratorSource to 'Property'.

When NumeratorSource is set to 'Auto', the numerator coefficients are automatically redesigned using the design method specified in DesignMethod. To access the filter coefficients in the automatic design mode, type objName.Numerator in the MATLAB® command prompt.

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

Design method of the FIR filter coefficients, specified as one of the following:

  • 'Kaiser' –– Kaiser method. Approximate anti-imaging lowpass filter using the designMultirateFIR function.

  • 'ZOH' –– Zero order hold method. Hold the input sequence values.

  • 'Linear' –– Linear interpolation method.

Dependencies

This property is visible only when you set the NumeratorSource property to 'Auto', or if you pass the 'auto' keyword as an input while creating the object.

Fixed-Point Properties

Flag to use full-precision rules for fixed-point arithmetic, specified as one of the following:

  • true –– The object computes all internal arithmetic and output data types using the full-precision rules. These rules provide the most accurate fixed-point numerics. In this mode, other fixed-point properties do not apply. No quantization occurs within the object. Bits are added, as needed, to ensure that no roundoff or overflow occurs.

  • false –– Fixed-point data types are controlled through individual fixed-point property settings.

For more information, see Full Precision for Fixed-Point System Objects and Set System Object Fixed-Point Properties.

Rounding method for fixed-point operations. For more details, see rounding mode.

Dependencies

This property is not visible and has no effect on the numerical results when the following conditions are met:

  • FullPrecisionOverride set to true.

  • FullPrecisionOverride set to false, ProductDataType set to 'Full precision', AccumulatorDataType set to 'Full precision', and OutputDataType set to 'Same as accumulator'.

Under these conditions, the object operates in full precision mode.

Overflow action for fixed-point operations, specified as one of the following:

  • 'Wrap' –– The object wraps the result of its fixed-point operations.

  • 'Saturate' –– The object saturates the result of its fixed-point operations.

For more details on overflow actions, see overflow mode for fixed-point operations.

Dependencies

This property is not visible and has no effect on the numerical results when the following conditions are met:

  • FullPrecisionOverride set to true.

  • FullPrecisionOverride set to false, OutputDataType set to 'Same as accumulator', ProductDataType set to 'Full precision', and AccumulatorDataType set to 'Full precision'

Under these conditions, the object operates in full precision mode.

Data type of the FIR filter coefficients, specified as:

  • Same word length as input –– The word length of the coefficients is the same as that of the input. The fraction length is computed to give the best possible precision.

  • Custom –– The coefficients data type is specified as a custom numeric type through the CustomCoefficientsDataType property.

Word and fraction lengths of the coefficients data type, specified as an autosigned numerictype (Fixed-Point Designer) with a word length of 16 and a fraction length of 15.

Dependencies

This property applies when you set the CoefficientsDataType property to Custom.

Data type of the product output in this object, specified as one of the following:

  • 'Full precision' –– The product output data type has full precision.

  • 'Same as input' –– The object specifies the product output data type to be the same as that of the input data type.

  • 'Custom' –– The product output data type is specified as a custom numeric type through the CustomProductDataType property.

For more information on the product output data type, see Multiplication Data Types.

Dependencies

This property applies when you set FullPrecisionOverride to false.

Word and fraction lengths of the product data type, specified as an autosigned numeric type with a word length of 32 and a fraction length of 30.

Dependencies

This property applies only when you set FullPrecisionOverride to false and ProductDataType to 'Custom'.

Data type of an accumulation operation in this object, specified as one of the following:

  • 'Full precision' –– The accumulation operation has full precision.

  • 'Same as product' –– The object specifies the accumulator data type to be the same as that of the product output data type.

  • 'Same as input' –– The object specifies the accumulator data type to be the same as that of the input data type.

  • 'Custom' –– The accumulator data type is specified as a custom numeric type through the CustomAccumulatorDataType property.

Dependencies

This property applies when you set FullPrecisionOverride to false.

Word and fraction lengths of the accumulator data type, specified as an autosigned numeric type with a word length of 32 and a fraction length of 30.

Dependencies

This property applies only when you set FullPrecisionOverride to false and AccumulatorDataType to 'Custom'.

Data type of the object output, specified as one of the following:

  • 'Same as accumulator' –– The output data type is the same as that of the accumulator output data type.

  • 'Same as input' –– The output data type is the same as that of the input data type.

  • 'Same as product' –– The output data type is the same as that of the product output data type.

  • 'Custom' –– The output data type is specified as a custom numeric type through the CustomOutputDataType property.

Dependencies

This property applies when you set FullPrecisionOverride to false.

Word and fraction lengths of the output data type, specified as an autosigned numeric type with a word length of 16 and a fraction length of 15.

Dependencies

This property applies only when you set FullPrecisionOverride to false and OutputDataType to 'Custom'.

Usage

Syntax

y = firinterp(x)
y = firinterp(x,num)

Description

y = firinterp(x) interpolates the input signal x along the first dimension, and outputs the upsampled and filtered values, y.

example

y = firinterp(x,num) uses the FIR filter, num, to interpolate the input signal. This configuration is valid only when the 'NumeratorSource' property is set to 'Input port'.

Input Arguments

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Data input, specified as a vector or a matrix. A P-by-Q input matrix is treated as Q independent channels, and the System object interpolates each channel over the first dimension and generates a P*L-by-Q output matrix, where L is the interpolation factor.

This object supports variable-size input and does not support complex unsigned fixed-point inputs.

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

FIR filter coefficients, specified as a row vector.

Dependencies

This input is accepted only when the 'NumeratorSource' property is set to 'Input port'.

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

Output Arguments

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FIR interpolator output, returned as a vector or a matrix of size P*L-by-Q, where L is the interpolation factor.

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

Object Functions

To use an object function, specify the System object as the first input argument. For example, to release system resources of a System object named obj, use this syntax:

release(obj)

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freqzFrequency response of discrete-time filter System object
freqzmrCompute DTFT approximation of impulse response of multirate or single-rate filter
filterAnalyzerAnalyze filters with Filter Analyzer app
infoInformation about filter System object
costEstimate cost of implementing filter System object
polyphasePolyphase decomposition of multirate filter
generatehdlGenerate HDL code for quantized DSP filter (requires Filter Design HDL Coder) (To be removed)
impzImpulse response of discrete-time filter System object
coeffsReturns the filter System object coefficients in a structure
outputDelayDetermine output delay of single-rate or multirate filter
stepRun System object algorithm
releaseRelease resources and allow changes to System object property values and input characteristics
resetReset internal states of System object

Examples

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Open Live Script

Interpolate a cosine wave by a factor of 2. In the automatic filter design mode, change the underlying D/A signal interpolation model to 'linear' and interpolate the signal by a factor of 4, change the underlying D/A signal interpolation model to 'ZOH' and interpolate the signal by a factor of 5.

The cosine wave has an angular frequency of π4 radians/sample. 

x = cos(pi/4*(0:39)');

Design Default Filter

Create a dsp.FIRInterpolator object. The object uses an anti-imaging lowpass filter after upsampling. By default, the anti-imaging lowpass filter is designed using the designMultirateFIR function. The function designs the filter based on the interpolation factor that you specify, and stores the coefficients in the Numerator property. For an interpolation factor of 2, the object designs the coefficients using designMultirateFIR(2,1).

firinterp = dsp.FIRInterpolator(2)
firinterp = 
  dsp.FIRInterpolator with properties:

    InterpolationFactor: 2
        NumeratorSource: 'Property'
              Numerator: [0 -2.0108e-04 0 7.7408e-04 0 -0.0020 0 0.0045 0 -0.0086 0 0.0153 0 -0.0257 0 0.0415 0 -0.0661 0 0.1084 0 -0.2003 0 0.6326 1 0.6326 0 -0.2003 0 0.1084 0 -0.0661 0 0.0415 0 -0.0257 0 0.0153 0 -0.0086 0 0.0045 0 ... ] (1x48 double)

  Use get to show all properties

Visualize the filter response. The designed filter meets the ideal filter constraints that are marked in red. The cutoff frequency is approximately half the spectrum.

freqz(firinterp)

Figure contains 2 axes objects. Axes object 1 with title Phase, xlabel Normalized Frequency (\times\pi rad/sample), ylabel Phase (degrees) contains an object of type line. Axes object 2 with title Magnitude, xlabel Normalized Frequency (\times\pi rad/sample), ylabel Magnitude (dB) contains an object of type line.

Interpolate by 2

Interpolate the cosine signal by a factor of 2.

y = firinterp(x);

Plot the original and interpolated signals. In order to plot the two signals on the same plot, you must account for the output delay of the FIR interpolator and the scaling introduced by the filter. Use the outputDelay function to compute the delay value introduced by the interpolator. Shift the output by this delay value.

Visualize the input and the resampled signals. The input and output values coincide every other sample, due to the interpolation factor of 2.

[delay,FsOut] = outputDelay(firinterp)
delay = 
12

FsOut = 
2

nx = (0:length(x)-1);
ty = (0:length(y)-1)/FsOut-delay;
stem(ty,y,'filled',MarkerSize=4); hold on;
stem(nx,x); hold off;
xlim([-5,20])
ylim([-2.5 2.5])
legend('Interpolated by 2','Input signal','Location','best');

Figure contains an axes object. The axes object contains 2 objects of type stem. These objects represent Interpolated by 2, Input signal.

Interpolate by 4 in Automatic Filter Design Mode

Now interpolate by a factor of 4. In order for the filter design to be updated automatically based on the new interpolation factor, set the NumeratorSource property to 'Auto'. Alternately, you can pass the keyword 'Auto' as an input while creating the object. The object then operates in the automatic filter design mode. Every time there is a change in the interpolation factor, the object updates the filter design.

release(firinterp)
firinterp.NumeratorSource = 'Auto';
firinterp.InterpolationFactor = 4
firinterp = 
  dsp.FIRInterpolator with properties:

    InterpolationFactor: 4
        NumeratorSource: 'Auto'
           DesignMethod: 'Kaiser'

  Use get to show all properties

To access the filter coefficients in the automatic filter design mode, type firinterp.Numerator in the MATLAB command prompt.

The designed filter occupies a narrower passband that is approximately a quarter of the spectrum.

freqz(firinterp)

Figure contains 2 axes objects. Axes object 1 with title Phase, xlabel Normalized Frequency (\times\pi rad/sample), ylabel Phase (degrees) contains an object of type line. Axes object 2 with title Magnitude, xlabel Normalized Frequency (\times\pi rad/sample), ylabel Magnitude (dB) contains an object of type line.

Interpolate the cosine signal by a factor of 4.

yAuto = firinterp(x);

Plot the original and resampled signals. Recalculate the delay and the output sample rate values since the interpolation factor has changed. The input and output values coincide every 4 output samples, owing to the interpolation factor of 4.

[delay,FsOut] = outputDelay(firinterp);

nx = (0:length(x)-1);
tyAuto = (0:length(yAuto)-1)/FsOut-delay;
stem(tyAuto,yAuto,'filled',MarkerSize=4); hold on;
stem(nx,x); hold off;
xlim([-5,10])
ylim([-2.5 2.5])
legend('Interpolated by 4','Input signal');

Figure contains an axes object. The axes object contains 2 objects of type stem. These objects represent Interpolated by 4, Input signal.

Specify Signal Interpolation Model

In the automatic design mode, you can also specify the underlying D/A signal interpolation model through the DesignMethod property.

Set DesignMethod to 'linear'

If you set the DesignMethod to 'linear', the object uses the linear interpolation model.

release(firinterp)
firinterp.DesignMethod = 'linear'
firinterp = 
  dsp.FIRInterpolator with properties:

    InterpolationFactor: 4
        NumeratorSource: 'Auto'
           DesignMethod: 'Linear'

  Use get to show all properties

Interpolate the signal using the linear interpolation model.

ylinear = firinterp(x);

Plot the original and the linearly interpolated signal.

[delay,FsOut] = outputDelay(firinterp);
nx = (0:length(x)-1);

% Calculate output times for vector ylinear in input units
tylinear = (0:length(ylinear)-1)/FsOut-delay;

stem(tylinear,ylinear,'filled',MarkerSize=4); hold on;
stem(nx,x);
hold off;
xlim([0,10])
ylim([-2.5 2.5])
legend('Linear Interpolation by 4','Input signal');

Figure contains an axes object. The axes object contains 2 objects of type stem. These objects represent Linear Interpolation by 4, Input signal.

Set DesignMethod to 'ZOH' and Change InterpolationFactor to 5

If you set the DesignMethod to 'ZOH', the object uses the zero order hold method. Change the interpolation factor to 5.

release(firinterp)
firinterp.DesignMethod = 'ZOH';
firinterp.InterpolationFactor = 5
firinterp = 
  dsp.FIRInterpolator with properties:

    InterpolationFactor: 5
        NumeratorSource: 'Auto'
           DesignMethod: 'ZOH'

  Use get to show all properties

Interpolate the signal using the zero order hold method.

yzoh = firinterp(x);

Plot the original and ZOH interpolated signal.

[delay,FsOut] = outputDelay(firinterp);
nx = (0:length(x)-1);

% Calculate output times for vector yzoh in input units
tyzoh = (0:length(yzoh)-1)/FsOut-delay;

stem(tyzoh,yzoh,'filled',MarkerSize=4); hold on;
stem(nx,x); hold off;
xlim([0,10])
ylim([-1.5 1.5])
legend('ZOH Interpolation by 4','Input signal');

Figure contains an axes object. The axes object contains 2 objects of type stem. These objects represent ZOH Interpolation by 4, Input signal.

Open Live Script

Double the sample rate of an audio signal and play the interpolated signal using the audioDeviceWriter object.

Note: The audioDeviceWriter System object™ is not supported in MATLAB Online.

Create a dsp.AudioFileReader object. The default audio file ready by the object has a sample rate of 22050 Hz.

afr = dsp.AudioFileReader('OutputDataType',...
   'single');

Create a dsp.FIRInterpolator object and specify the interpolation factor to be 2. The object designs the filter using the designMultirateFIR(2,1) function and stores the coefficients in the Numerator property of the object.

firInterp = dsp.FIRInterpolator(2)
firInterp = 
  dsp.FIRInterpolator with properties:

    InterpolationFactor: 2
        NumeratorSource: 'Property'
              Numerator: [0 -2.0108e-04 0 7.7408e-04 0 -0.0020 0 0.0045 0 -0.0086 0 0.0153 0 -0.0257 0 0.0415 0 -0.0661 0 0.1084 0 -0.2003 0 0.6326 1 0.6326 0 -0.2003 0 0.1084 0 -0.0661 0 0.0415 0 -0.0257 0 0.0153 0 -0.0086 0 0.0045 0 ... ] (1x48 double)

  Use get to show all properties

Create an audioDeviceWriter object. Specify the sample rate to be 22050×2, which equals 44100 Hz.

adw = audioDeviceWriter(44100)
adw = 
  audioDeviceWriter with properties:

        Device: 'Default'
    SampleRate: 44100

  Use get to show all properties

Read the audio signal using the file reader object, double the sample rate of the signal from 22050 Hz to 44100 Hz and play the interpolated signal.

while ~isDone(afr)
     frame = afr();
     y = firInterp(frame);
     adw(y);
end

pause(1);
release(afr); 
release(adw);

Algorithms

The FIR interpolation filter is implemented efficiently using a polyphase structure.

To derive the polyphase structure, start with the transfer function of the FIR filter:

H(z)=b0+b1z−1+...+bNz−N,

N+1 is the length of the FIR filter.

You can rearrange this equation as follows:

H(z)=(b0+bLz−L+b2Lz−2L+..+bN−L+1z−(N−L+1))+z−1(b1+bL+1z−L+b2L+1z−2L+..+bN−L+2z−(N−L+1))+⋮z−(L−1)(bL−1+b2L−1z−L+b3L−1z−2L+..+bNz−(N−L+1))

L is the number of polyphase components, and its value equals the interpolation factor that you specify.

You can write this equation as:

H(z)=E0(zL)+z−1E1(zL)+...+z−(L−1)EL−1(zL)

E0(zL), E1(zL), ..., EL-1(zL) are polyphase components of the FIR filter H(z).

Conceptually, the FIR interpolation filter contains an upsampler followed by an FIR lowpass filter H(z).

FIR interpolator contains an upsampler followed by an anti-imaging FIR filter.

Replace H(z) with its polyphase representation.

Here is the multirate noble identity for interpolation.

Applying the noble identity for interpolation moves the upsampling operation to after the filtering operation. This move enables you to filter the signal at a lower rate.

You can replace the upsampling operator, delay block, and adder with a commutator switch. The switch starts on the first branch 0 and moves in the counterclockwise direction, each time receiving one sample from each branch. The interpolator effectively outputs L samples for every one input sample it receives. Hence the sample rate at the output of the FIR interpolation filter is Lfs.

Extended Capabilities

Version History

Introduced in R2012a

See Also

Functions

Objects

Blocks

Topics