Documentation |
FIR hold interpolator
hm = mfilt.holdinterp(l)
hm = mfilt.holdinterp(l) returns the object hm that represents a hold interpolator with the interpolation factor l. To work, l must be an integer. When you do not include l in the calling syntax, it defaults to 2. To perform interpolation by noninteger amounts, use one of the fractional interpolator objects, such as mfilt.firsrc.
When you use this hold interpolator, each sample added to the input signal between existing samples has the value of the most recent sample from the original signal. Thus you see something like a staircase profile where the interpolated samples form a plateau between the previous and next original samples. The example demonstrates this profile clearly. Compare this to the interpolation process for other interpolators in the toolbox, such as mfilt.linearinterp.
Make this filter a fixed-point or single-precision filter by changing the value of the Arithmetic property for the filter hm as follows:
To change to single-precision filtering, enter
set(hm,'arithmetic','single');
To change to fixed-point filtering, enter
set(hm,'arithmetic','fixed');
The following table describes the input arguments for creating hm.
Input Argument | Description |
---|---|
l | Interpolation factor for the filter. l specifies the amount to increase the input sampling rate. It must be an integer. When you do not specify a value for l it defaults to 2. |
This section describes the properties for both floating-point filters (double-precision and single-precision) and fixed-point filters.
Every multirate filter object has properties that govern the way it behaves when you use it. Note that many of the properties are also input arguments for creating mfilt.holdinterp objects. The next table describes each property for an mfilt.interp filter object.
Name | Values | Description |
---|---|---|
Arithmetic | Double, single, fixed | Specifies the arithmetic the filter uses to process data while filtering. |
FilterStructure | String | Reports the type of filter object. You cannot set this property — it is always read only and results from your choice of mfilt object. |
InterpolationFactor | Integer | Interpolation factor for the filter. l specifies the amount to increase the input sampling rate. It must be an integer. |
PersistentMemory | 'false' or 'true' | Determines whether the filter states are restored to zero for each filtering operation. |
States | Double or single array | Filter states. states defaults to a vector of zeros that has length equal to nstates (hm). Always available, but visible in the display only when PersistentMemory is true. |
This table shows the properties associated with the fixed-point implementation of the mfilt.holdinterp filter.
Note The table lists all of the properties that a fixed-point filter can have. Many of the properties listed are dynamic, meaning they exist only in response to the settings of other properties. To view all of the characteristics for a filter at any time, use info(hm) where hm is a filter. |
For further information about the properties of this filter or any mfilt object, refer to Multirate Filter Properties.
Name | Values | Description |
---|---|---|
Arithmetic | Double, single, fixed | Specifies the arithmetic the filter uses to process data while filtering. |
FilterStructure | String | Reports the type of filter object. You cannot set this property — it is always read only and results from your choice of mfilt object. |
InputFracLength | Any positive or negative integer number of bits [15] | Specifies the fraction length the filter uses to interpret input data. |
InputWordLength | Any integer number of bits [16] | Specifies the word length applied to interpret input data. |
InterpolationFactor | Integer | Interpolation factor for the filter. l specifies the amount to increase the input sampling rate. It must be an integer. |
PersistentMemory | 'false' or 'true' | Determine whether the filter states get restored to zero for each filtering operation |
States | fi object | Contains the filter states before, during, and after filter operations. For hold interpolators, the states are always empty — hold interpolators do not have states. The states use fi objects, with the associated properties from those objects. For details, refer to fixed-point objects in Fixed-Point Designer™ documentation. |
Hold interpolators do not have filter coefficients and their filter structure is trivial.
To see the effects of hold-based interpolation, interpolate an input sine wave from 22.05 to 44.1 kHz. Note that each added sample retains the value of the most recent original sample.
l = 2; % Interpolation factor hm = mfilt.holdinterp(l); fs = 22.05e3; % Original sample freq: 22.05 kHz. n = 0:5119; % 5120 samples, 0.232 second long signal x = sin(2*pi*1e3/fs*n); % Original signal, sinusoid at 1 kHz y = filter(hm,x); % 10240 samples, still 0.232 seconds stem(n(1:22)/fs,x(1:22),'filled') % Plot original sampled at % 22.05 kHz hold on % Plot interpolated signal (44.1 kHz) stem(n(1:44)/(fs*l),y(1:44),'r') legend('Original Signal','Interpolated Signal','Location','best'); xlabel('Time (sec)');ylabel('Signal Value')
The following figure shows clearly the step nature of the signal that comes from interpolating the signal using the hold algorithm approach. Compare the output to the linear interpolation used in mfilt.linearinterp.
mfilt.cicinterp | mfilt.firinterp | mfilt.firsrc | mfilt.linearinterp