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Two-Channel Analysis Subband Filter

Decompose signal into high-frequency and low-frequency subbands

  • Two-Channel Analysis Subband Filter block

Libraries:
DSP System Toolbox / Filtering / Multirate Filters

Description

The Two-Channel Analysis Subband Filter block decomposes the input into high-frequency and low-frequency subbands, each with half the bandwidth and half the sample rate of the input.

The block filters the input with a pair of highpass and lowpass FIR filters, and then downsamples the results by 2, as shown in this figure.

The block implements the FIR filtering and downsampling steps together using a polyphase filter structure, which is more efficient than the filter-then-decimate algorithm shown in the preceding figure. Each subband is the first phase of the respective polyphase filter. You can implement a multilevel dyadic analysis filter bank by connecting multiple copies of this block or by using the Dyadic Analysis Filter Bank block. See Creating Multilevel Dyadic Analysis Filter Banks for more information.

You must provide a vector of filter coefficients for the lowpass and highpass FIR filters. Each filter should be a half-band filter that passes the frequency band that the other filter stops.

Ports

Input

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Specify the data input as a column vector or a matrix of size M-by-N. The columns in the input signal represent N independent channels.

The block supports variable-size input signals (frame length changes during simulation) when you set Input processing to Columns as channels (frame based) and Rate options to Enforce single-rate processing. When you specify variable-size input signals, they can be of arbitrary frame length, that is, the input frame length does not have to be even. When you specify fixed-size signals, the frame length can be arbitrary under certain conditions. For more details, see Frame-Based Processing and Sample-Based Processing.

If the input is fixed point, it must be a signed integer or a signed fixed point value with a power-of-two slope and zero bias.

Data Types: single | double | int8 | int16 | int32 | fixed point

Output

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The block outputs the high-frequency subband as a column vector or a matrix.

When you set Rate options to:

  • Enforce single-rate processing –– The block maintains the input sample rate and decimates the signal by decreasing the output frame size by a factor of 2.

    The output has an upper bound size of ceil(M/2)-by-N for an input of size M-by-N.

  • Allow multirate processing –– The block decimates the signal such that the output sample rate is half the input sample rate.

    The output frame size is the same as the input frame size.

For more details, see Frame-Based Processing and Sample-Based Processing.

Data Types: single | double | int8 | int16 | int32 | fixed point

The block outputs the low-frequency subband as a column vector or a matrix.

When you set Rate options to:

  • Enforce single-rate processing –– The block maintains the input sample rate and decimates the signal by decreasing the output frame size by a factor of 2.

    The output has an upper bound size of ceil(M/2)-by-N for an input of size M-by-N.

  • Allow multirate processing –– The block decimates the signal such that the output sample rate is half the input sample rate.

    The output frame size is the same as the input frame size.

For more details, see Frame-Based Processing and Sample-Based Processing.

Data Types: single | double | int8 | int16 | int32 | fixed point

Parameters

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Main Tab

Specify a vector of lowpass FIR filter coefficients, in descending powers of z. The lowpass filter should be a half-band filter that passes the frequency band stopped by the filter specified in the Highpass FIR filter coefficients parameter. The default values of this parameter specify a filter based on a third-order Daubechies wavelet. When you use the Two-Channel Synthesis Subband Filter block to reconstruct the input to this block, you need to design perfect reconstruction filters to use in the synthesis subband filter. For more information, see Specify FIR Filters.

Specify a vector of highpass FIR filter coefficients, in descending powers of z. The highpass filter should be a half-band filter that passes the frequency band stopped by the filter specified in the Lowpass FIR filter coefficients parameter. The default values of this parameter specify a filter based on a third-order Daubechies wavelet. When you use the Two-Channel Synthesis Subband Filter block to reconstruct the input to this block, you need to design perfect reconstruction filters to use in the synthesis subband filter. For more information, see Specify FIR Filters.

Specify how the block should process the input. You can set this parameter to one of the following options:

  • Columns as channels (frame based) (default) — When you select this option, the block treats each column of the input as a separate channel.

  • Elements as channels (sample based) — When you select this option, the block treats each element of the input as a separate channel.

For more information, see Frame-Based Processing and Sample-Based Processing.

Specify the rate processing rule for the block. You can set this parameter to one of the following options:

  • Enforce single-rate processing — When you select this option, the block treats each column of the input as an independent channel and decomposes each channel over time. The output has the same sample rate as the input, but the output frame size is half that of the input frame size. To select this option, you must set the Input processing parameter to Columns as channels (frame based).

  • Allow multirate processing — When you select this option, the input and output of the block are the same size, but the sample rate of the output is half that of the input.

Some settings of this parameter cause the block to have nonzero latency. See Latency for more information.

Since R2023a

Specify whether fixed-size input signals (whose size does not change during simulation) can have an arbitrary frame length, where the frame length does not have to be even. The block uses this parameter only for fixed-size input signals and ignores it if the input has a variable-size.

When the input signal is a variable-size signal, the signal can have an arbitrary frame length, that is, the frame length does not have to be an even number.

For fixed-size input signals, if you:

  • Select the Allow arbitrary frame length for fixed-size input signals parameter, the frame length of the signal does not have to be even. The output is a variable-size signal.

  • Clear the Allow arbitrary frame length for fixed-size input signals parameter, the input frame length must be even.

Dependency

To enable this parameter, set Input processing to Columns as channels (frame based) and Rate options to Enforce single-rate processing.

Data Types Tab

Select the rounding mode for fixed-point operations. The filter coefficients do not obey this parameter; they are always rounded to Nearest.

Note

The Rounding mode and Saturate on integer overflow settings have no effect on numerical results when all the following conditions exist:

  • Product output is Inherit: Inherit via internal rule

  • Accumulator is Inherit: Inherit via internal rule

  • Output is Inherit: Same as accumulator

With these data type settings, the block effectively operates in full-precision mode.

When you select this parameter, the block saturates the result of its fixed-point operation. When you clear this parameter, the block wraps the result of its fixed-point operation. For details on saturate and wrap, see overflow mode for fixed-point operations.

Note

The Rounding mode and Saturate on integer overflow parameters have no effect on numeric results when all these conditions are met:

  • Product output data type is Inherit: Inherit via internal rule.

  • Accumulator data type is Inherit: Inherit via internal rule.

With these data type settings, the block operates in full-precision mode.

Specify the coefficients data type. See Fixed-Point Data Types and Multiplication Data Types for illustrations depicting the use of the coefficients data type in this block. You can set it to:

  • A rule that inherits a data type, for example, Inherit: Same word length as input

  • An expression that evaluates to a valid data type, for example, fixdt(1,16,0)

Click the Show data type assistant button to display the Data Type Assistant, which helps you set the Coefficients parameter.

See Specify Data Types Using Data Type Assistant (Simulink) for more information.

Specify the minimum value of the filter coefficients. The default value is [] (unspecified). Simulink® software uses this value to perform automatic scaling of fixed-point data types.

Specify the maximum value of the filter coefficients. The default value is [] (unspecified). Simulink software uses this value to perform automatic scaling of fixed-point data types.

Specify the product output data type. See Fixed-Point Data Types and Multiplication Data Types for illustrations depicting the use of the product output data type in this block. You can set it to:

  • A rule that inherits a data type, for example, Inherit: Inherit via internal rule. For more information on this rule, see Inherit via Internal Rule.

    Note

    The actual product output word length can be equal to or greater than the calculated ideal product output word length, depending on the settings on the Hardware Implementation pane of the Configuration Parameters dialog box.

  • An expression that evaluates to a valid data type, for example, fixdt(1,16,0)

Click the Show data type assistant button to display the Data Type Assistant, which helps you set the Product output parameter.

See Specify Data Types Using Data Type Assistant (Simulink) for more information.

Specify the accumulator data type. See Fixed-Point Data Types for illustrations depicting the use of the accumulator data type in this block. You can set this parameter to:

  • A rule that inherits a data type, for example, Inherit: Inherit via internal rule. For more information on this rule, see Inherit via Internal Rule.

  • An expression that evaluates to a valid data type, for example, fixdt(1,16,0)

Click the Show data type assistant button to display the Data Type Assistant, which helps you set the Accumulator parameter.

See Specify Data Types Using Data Type Assistant (Simulink) for more information.

Specify the output data type. See Fixed-Point Data Types for illustrations depicting the use of the output data type in this block. You can set it to:

  • A rule that inherits a data type, for example, Inherit: Same as accumulator

  • An expression that evaluates to a valid data type, for example, fixdt(1,16,0)

Click the Show data type assistant button to display the Data Type Assistant, which helps you set the Output parameter.

See Control Data Types of Signals (Simulink) for more information.

Specify the minimum value that the block should output. The default value is [] (unspecified). Simulink software uses this value to perform:

  • Simulation range checking (see Specify Signal Ranges (Simulink))

  • Automatic scaling of fixed-point data types

Specify the maximum value that the block should output. The default value is [] (unspecified). Simulink software uses this value to perform:

  • Simulation range checking (see Specify Signal Ranges (Simulink))

  • Automatic scaling of fixed-point data types

Select this parameter to prevent the fixed-point tools from overriding the data types you specify in the block dialog box.

Block Characteristics

Data Types

double | fixed point | integer | single

Direct Feedthrough

no

Multidimensional Signals

no

Variable-Size Signals

yes

Zero-Crossing Detection

no

More About

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References

[1] Fliege, N. J. Multirate Digital Signal Processing: Multirate Systems, Filter Banks, Wavelets. West Sussex, England: John Wiley & Sons, 1994.

[2] Strang, G. and T. Nguyen. Wavelets and Filter Banks. Wellesley, MA: Wellesley-Cambridge Press, 1996.

[3] Vaidyanathan, P. P. Multirate Systems and Filter Banks. Englewood Cliffs, NJ: Prentice Hall, 1993.

Extended Capabilities

Fixed-Point Conversion
Design and simulate fixed-point systems using Fixed-Point Designer™.

Version History

Introduced before R2006a

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