# Documentation

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# mfilt.firtdecim

Direct-form transposed FIR filter

`mfilt.firtdecim` will be removed in a future release. Use `dsp.FIRDecimator` instead.

## Syntax

```hm = mfilt.firtdecim(m) hm = mfilt.firtdecim(m,num) ```

## Description

`hm = mfilt.firtdecim(m)` returns a polyphase decimator `mfilt` object `hm` based on a direct-form transposed FIR structure with a decimation factor of `m`. A lowpass Nyquist filter of gain 1 and cutoff frequency of π/`m` is the default.

`hm = mfilt.firtdecim(m,num)` uses the coefficients specified by `num` for the decimation filter. `num` is a vector containing the coefficients of the transposed FIR lowpass filter used for decimation. If omitted, a lowpass Nyquist filter with gain of 1 and cutoff frequency of π/`m` is the default.

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');`

### Input Arguments

The following table describes the input arguments for creating `hm`.

Input Argument

Description

`num`

Vector containing the coefficients of the FIR lowpass filter used for interpolation. When `num` is not provided as an input, `firtdecim` uses a lowpass Nyquist filter with gain equal to `l` and cutoff frequency equal to π`/m` by default. The default length for the Nyquist filter is 24*`m`. Therefore, each polyphase filter component has length 24.

`m`

Decimation factor for the filter. `m` specifies the amount to reduce the sampling rate of the input signal. It must be an integer. When you do not specify a value for `m` it defaults to `2`.

## Object Properties

This section describes the properties for both floating-point filters (double-precision and single-precision) and fixed-point filters.

### Floating-Point Filter Properties

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.firtdecim` objects. The next table describes each property for an `mfilt.firtdecim` filter object.

Name

Values

Description

`Arithmetic`

`Double`, `single`, `fixed`

Specifies the arithmetic the filter uses to process data while filtering.

`DecimationFactor`

Integer

Decimation factor for the filter. `m` specifies the amount to reduce the sampling rate of the input signal. It must be an integer.

`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. Also describes the signal flow for the filter object.

`InputOffset`

Integers

Contains a value derived from the number of input samples and the decimation factor — `InputOffset = mod(length(nx),m)` where `nx` is the number of input samples that have been processed so far and `m` is the decimation factor.

`Numerator`

Vector

Vector containing the coefficients of the FIR lowpass filter used for decimation.

`PersistentMemory`

`[false]`, `true`

Determines whether the filter states get restored to zeros for each filtering operation. The starting values are the values in place when you create the filter if you have not changed the filter since you constructed it. `PersistentMemory` set to `false` returns filter states to the default values after filtering. States that the filter does not change are not affected. Setting this to `true` allows you to modify the `States`, `InputOffset`, and `PolyphaseAccum` properties.

`PolyphaseAccum`

Double, single [`0`]

The idea behind having both `PolyphaseAccum` and `Accum` is to differentiate between the adders in the filter that work in full precision at all times (`PolyphaseAccum`) from the adders in the filter that the user controls and that may introduce quantization effects when `FilterInternals` is set to `SpecifyPrecision`.

`States`

`Double`, `single` matching the filter arithmetic setting.

Contains the filter states before, during, and after filter operations. States act as filter memory between filtering runs or sessions.

### Fixed-Point Filter Properties

This table shows the properties associated with the fixed-point implementation of the `mfilt.firtdecim` 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

`AccumFracLength`

Any positive or negative integer number of bits. [32]

Specifies the fraction length used to interpret data output by the accumulator. This is a property of FIR filters and lattice filters. IIR filters have two similar properties — `DenAccumFracLength` and `NumAccumFracLength` — that let you set the precision for numerator and denominator operations separately.

`AccumWordLength`

Any integer number of bits [39]

Sets the word length used to store data in the accumulator.

`Arithmetic`

fixed for fixed-point filters

Setting this to `fixed` allows you to modify other filter properties to customize your fixed-point filter.

`CoeffAutoScale`

[true], false

Specifies whether the filter automatically chooses the proper fraction length to represent filter coefficients without overflowing. Turning this off by setting the value to `false` enables you to change the `NumFracLength` property value to specify the precision used.

`CoeffWordLength`

Any integer number of bits [16]

Specifies the word length to apply to filter coefficients.

`FilterInternals`

[FullPrecision], SpecifyPrecision

Controls whether the filter automatically sets the output word and fraction lengths, product word and fraction lengths, and the accumulator word and fraction lengths to maintain the best precision results during filtering. The default value, `FullPrecision`, sets automatic word and fraction length determination by the filter. `SpecifyPrecision` makes the output and accumulator-related properties available so you can set your own word and fraction lengths for them.

`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.

`NumFracLength`

Any positive or negative integer number of bits [`14`]

Sets the fraction length used to interpret the numerator coefficients.

`OutputFracLength`

Any positive or negative integer number of bits [32]

Determines how the filter interprets the filter output data. You can change the value of `OutputFracLength` when you set `FilterInternals` to `SpecifyPrecision`.

`OutputWordLength`

Any integer number of bits [39]

Determines the word length used for the output data. You make this property editable by setting `FilterInternals` to `SpecifyPrecision`.

`OverflowMode`

saturate, [wrap]

Sets the mode used to respond to overflow conditions in fixed-point arithmetic. Choose from either `saturate` (limit the output to the largest positive or negative representable value) or `wrap` (set overflowing values to the nearest representable value using modular arithmetic.) The choice you make affects only the accumulator and output arithmetic. Coefficient and input arithmetic always saturates. Finally, products never overflow — they maintain full precision.

`PolyphaseAccum`

`fi` object with zeros to start

Differentiates between the adders in the filter that work in full precision at all times (`PolyphaseAccum`) and the adders in the filter that the user controls and that may introduce quantization effects when `FilterInternals` is set to `SpecifyPrecision`.

`RoundMode`

[`convergent`], `ceil`, `fix`, `floor`, `nearest`, `round`

Sets the mode the filter uses to quantize numeric values when the values lie between representable values for the data format (word and fraction lengths).

• `ceil` - Round toward positive infinity.

• `convergent` - Round to the closest representable integer. Ties round to the nearest even stored integer. This is the least biased of the methods available in this software.

• `fix` - Round toward zero.

• `floor` - Round toward negative infinity.

• `nearest` - Round toward nearest. Ties round toward positive infinity.

• `round` - Round toward nearest. Ties round toward negative infinity for negative numbers, and toward positive infinity for positive numbers.

The choice you make affects only the accumulator and output arithmetic. Coefficient and input arithmetic always round. Finally, products never overflow — they maintain full precision.

`Signed`

[true], false

Specifies whether the filter uses signed or unsigned fixed-point coefficients. Only coefficients reflect this property setting.

`States`

`fi` object

Contains the filter states before, during, and after filter operations. States act as filter memory between filtering runs or sessions. The states use `fi` objects, with the associated properties from those objects. For details, refer to fixed-point objects in Fixed-Point Designer™ documentation. For information about the ordering of the states, refer to the filter structure section.

## Filter Structure

To provide sample rate changes, `mfilt.firtdecim` uses the following structure. At the input you see a commutator that operates counterclockwise, moving from position 0 to position 2, position 1, and back to position 0 as input samples enter the filter. To keep track of the position of the commutator, the `mfilt` object uses the property `InputOffset` which reports the current position of the commutator in the filter.

The following figure details the signal flow for the direct form FIR filter implemented by `mfilt.firtdecim`.

Notice the order of the states in the filter flow diagram. States 1 through 3 appear in the following diagram at each delay element. State 1 applies to the third delay element in phase 2. State 2 applies to the second delay element in phase 2. State 3 applies to the first delay element in phase 2. When you provide the states for the filter as a vector to the `States` property, the above description explains how the filter assigns the states you specify.

In property value form, the states for a filter `hm` are

`hm.states=[1:3];`

## Examples

Demonstrate decimating an input signal by a factor of 2, in this case converting from 44.1 kHz down to 22.05 kHz. In the figure shown following the code, you see the results of decimating the signal.

```m = 2; % Decimation factor. hm = mfilt.firtdecim(m); % Use the default filter coeffs. fs = 44.1e3; % Original sample freq: 44.1 kHz. n = 0:10239; % 10240 samples, 0.232 second long signal x = sin(2*pi*1e3/fs*n); % Original signal--sinusoid at 1 kHz. y = filter(hm,x); % 5120 samples, 0.232 seconds. stem(n(1:44)/fs,x(1:44)) % Plot original sampled at 44.1 kHz. axis([0 0.001 -1.2 1.2]); hold on % Plot decimated signal (22.05 kHz) in red stem(n(1:22)/(fs/m),y(13:34),'r','filled') xlabel('Time (sec)');ylabel('Signal Value'); legend('Original signal','Decimated signal','location','best'); ```