System Objects in DSP System Toolbox that Support Fixed-Point

Get Information About Fixed-Point System Objects

System objects that support fixed-point data processing have fixed-point properties. When you display the properties of a System object™, click show all properties at the end of the property list to display the fixed-point properties for that object. You can also display the fixed-point properties for a particular object by typing dsp.<ObjectName>.helpFixedPoint at the MATLAB^® command line.

DSP System Toolbox System Objects That Support Fixed Point

Object	Description
Sources
`dsp.SignalSource`	Import a variable from the MATLAB workspace
`dsp.SineWave`	Generate discrete sine wave
Sinks
`dsp.ArrayPlot`	Display vectors or arrays
`dsp.AudioFileWriter`	Write audio samples to audio file
`dsp.SignalSink`	Log MATLAB simulation data
`dsp.SpectrumAnalyzer`	Display frequency spectrum of time-domain signals
`dsp.TimeScope`	Display time-domain signals
Adaptive Filters
`dsp.LMSFilter`	Compute output, error, and weights using LMS adaptive algorithm
Filter Designs
`dsp.CICCompensationDecimator`	Compensate for CIC filter using a FIR decimator
`dsp.CICCompensationInterpolator`	Compensate for CIC filter using a FIR interpolator
`dsp.Differentiator`	Direct form FIR full band differentiator filter
`dsp.FIRHalfbandDecimator`	Halfband decimator
`dsp.FIRHalfbandInterpolator`	Halfband interpolator
`dsp.HighpassFilter`	FIR or IIR highpass filter
`dsp.LowpassFilter`	FIR or IIR lowpass filter
Filter Implementations
`dsp.AllpoleFilter`	IIR Filter with no zeros
`dsp.BiquadFilter`	Model biquadratic IIR (SOS) filters
`dsp.FIRFilter`	Static or time-varying FIR filter
`dsp.IIRFilter`	Infinite Impulse Response (IIR) filter
Multirate Filters
`dsp.CICDecimator`	Decimate inputs using a Cascaded Integrator-Comb (CIC) filter
`dsp.CICInterpolator`	Interpolate inputs using a Cascaded Integrator-Comb (CIC) filter
`dsp.FIRDecimator`	Filter and downsample input signals
`dsp.FIRInterpolator`	Upsample and filter input signals
`dsp.FIRRateConverter`	Upsample, filter, and downsample input signals
`dsp.HDLFIRRateConverter`	Upsample, filter, and downsample—optimized for HDL code generation
`dsp.SubbandAnalysisFilter`	Decompose signal into high-frequency and low-frequency subbands
`dsp.SubbandSynthesisFilter`	Reconstruct a signal from high-frequency and low-frequency subbands
Linear Prediction
`dsp.LevinsonSolver`	Solve linear system of equations using Levinson-Durbin recursion
Transforms
`dsp.FFT`	Compute fast Fourier transform (FFT) of input
`dsp.HDLFFT`	Compute fast Fourier transform (FFT) of input — optimized for HDL Code generation
`dsp.HDLIFFT`	Compute inverse fast Fourier transform (IFFT) of input — optimized for HDL Code generation
`dsp.IFFT`	Compute inverse fast Fourier transform (IFFT) of input
Statistics
`dsp.Autocorrelator`	Compute autocorrelation of vector inputs
`dsp.Crosscorrelator`	Compute cross-correlation of two inputs
Quantizers
`dsp.ScalarQuantizerDecoder`	Convert each index value into quantized output value
`dsp.ScalarQuantizerEncoder`	Perform scalar quantization encoding
`dsp.VectorQuantizerDecoder`	Find vector quantizer codeword for given index value
`dsp.VectorQuantizerEncoder`	Perform vector quantization encoding
Signal Operations
`dsp.Convolver`	Compute convolution of two inputs
`dsp.DCBlocker`	Remove DC component
`dsp.Delay`	Delay input by specified number of samples or frames
`dsp.DigitalDownConverter`	Translate digital signal from Intermediate Frequency (IF) band to baseband and decimate it
`dsp.DigitalUpConverter`	Interpolate digital signal and translate it from baseband to Intermediate Frequency (IF) band
`dsp.FarrowRateConverter`	Polynomial sample rate converter with arbitrary conversion factor
`dsp.HDLNCO`	Generate real or complex sinusoidal signals — optimized for HDL code generation
`dsp.NCO`	Generate real or complex sinusoidal signals
`dsp.VariableFractionalDelay`	Delay input by time-varying fractional number of sample periods
`dsp.VariableIntegerDelay`	Delay input by time-varying integer number of sample periods
`dsp.Window`	Window object
`dsp.ZeroCrossingDetector`	Zero crossing detector
Math Operations
`dsp.CumulativeProduct`	Compute cumulative product of channel, column, or row elements
`dsp.CumulativeSum`	Compute cumulative sum of channel, column, or row elements
`dsp.HDLComplexToMagnitudeAngle`	Compute magnitude and phase angle of complex signal—optimized for HDL code generation
Matrix Operations
`dsp.ArrayVectorAdder`	Add vector to array along specified dimension
`dsp.ArrayVectorDivider`	Divide array by vector along specified dimension
`dsp.ArrayVectorMultiplier`	Multiply array by vector along specified dimension
`dsp.ArrayVectorSubtractor`	Subtract vector from array along specified dimension
Matrix Factorizations
`dsp.LDLFactor`	Factor square Hermitian positive definite matrices into lower, upper, and diagonal components
`dsp.LUFactor`	Factor square matrix into lower and upper triangular matrices
Linear System Solvers
`dsp.LowerTriangularSolver`	Solve LX = B for X when L is lower triangular matrix
`dsp.UpperTriangularSolver`	Solve UX = B for X when U is upper triangular matrix
Switches and Counters
`dsp.Counter`	Count up or down through specified range of numbers

Set System Object Fixed-Point Properties

Several properties affect the fixed-point data processing used by a System object. Objects perform fixed-point processing and use the current fixed-point property settings when they receive fixed-point input.

You change the values of fixed-point properties in the same way as you change any System object property value. See Configure Components (MATLAB). You also use the Fixed-Point Designer™ numerictype object to specify the desired data type as fixed-point, the signedness, and the word- and fraction-lengths. System objects support these values of DataTypeMode: Boolean, Double, Single, and Fixed-point: binary point scaling.

In the same way as for blocks, the data type properties of many System objects can set the appropriate word lengths and scalings automatically by using full precision. System objects assume that the target specified on the Configuration Parameters Hardware Implementation target is ASIC/FPGA.

If you have not set the property that activates a dependent property and you attempt to change that dependent property, a warning message displays. For example, for the dsp.FFT object, before you set CustomOutputDataType to numerictype(1,32,30), set OutputDataType to 'Custom'.

Note

System objects do not support fixed-point word lengths greater than 128 bits.

For any System object provided in the Toolbox, the fimath settings for any fimath attached to a fi input or a fi property are ignored. Outputs from a System object never have an attached fimath.

Full Precision for Fixed-Point System Objects

FullPrecisionOverride is a convenience property that, when you set to true, automatically sets the appropriate properties for an object to use full-precision to process fixed-point input. For System objects, full precision, fixed-point operation refers to growing just enough additional bits to compute the ideal full precision result. This operation has no minimum or maximum range overflow nor any precision loss due to rounding or underflow. It is also independent of any hardware-specific settings. The data types chosen are based only on known data type ranges and not on actual numeric values. Full precision for System objects does not optimize coefficient values.

When you set the FullPrecisionOverride property to true, the other fixed-point properties it controls no longer apply and any of their non-default values are ignored. These properties are also hidden. To specify individual fixed-point properties, first set FullPrecisionOverride to false.