FixPt FIR (Fixed-Point Blockset)

Implement a fixed-point finite impulse response (FIR) filter

Description

The FixPt FIR block is a masked S-function that samples and holds the N most recent inputs, multiplies each input by a specified value (its FIR coefficient), and stacks them in a vector. This block supports both single-input/single-output (SISO) and single-input/multi-output (SIMO) modes.

For the SISO mode, the FIR coefficients parameter is specified as a row vector. For the SIMO mode, the FIR coefficients are specified as a matrix where each row corresponds to a separate output.

The Initial condition parameter provides the initial values for all times preceding the start time in the FIR realization. You specify the time interval between samples with the Sample time parameter.

You specify the scaling for the FIR coefficients with the Parameter scaling parameter. Note that there are two dialog box parameters that control the FIR coefficient scaling: one associated with an edit field, and one associated with a parameter list. If Parameter data type is a generalized fixed-point number such as sfix(16), the Parameter scaling list provides you with these scaling modes:

Use Specified Scaling - This mode uses the slope/bias or radix point-only scaling specified for the editable Parameter scaling parameter (for example, 2^-10).

Best Precision: Element-wise - This mode produces radix points such that the precision is maximized for each element of the FIR coefficients parameter.

Best Precision: Row-wise - This mode produces a common radix point for each element of the FIR coefficients row based on the best precision for the largest value of that row.

Best Precision: Column-wise - This mode produces a common radix point for each element of the FIR coefficients column based on the best precision for the largest value of that column.

Best Precision: Matrix-wise - This mode produces a common radix point for each element of the FIR coefficients matrix based on the best precision for the largest value of the matrix.

If the FIR coefficients are specified as a row vector, then scaling element-wise and column-wise produce the same result, while scaling matrix-wise and row-wise produce the same result.

For a detailed description of all other block parameters, refer to Block Parameters.

Parameters and Dialog Box

FIR coefficients: FIR coefficients. One row per output.
Initial condition: Initial values for all times preceding the start time.
Sample time: Sample time.
Parameter data type: Any data type supported by the Fixed-Point Blockset.
Parameter scaling: Radix point-only or slope/bias scaling. Additionally, the FIR coefficients vector or matrix can be scaled using the constant vector or constant matrix scaling modes for maximizing precision. These scaling modes are available only for generalized fixed-point data types.
Output data type and scaling: Specify the output data type and scaling via the dialog box, or inherit the data type and scaling from the driving block or by back propagation.
Output data type: Any data type supported by the Fixed-Point Blockset.
Output scaling: Radix point-only or slope/bias scaling. These scaling modes are available only for generalized fixed-point data types.
Lock output scaling so autoscaling tool can't change it: If checked, Output scaling is locked. This feature is available only for generalized fixed-point output.
Round toward: Rounding mode for the fixed-point output.
Saturate to max or min when overflows occur: If checked, fixed-point overflows saturate. Otherwise, they wrap.
Override data type(s) with doubles: If checked, the Output data type is overridden with doubles.
Log minimums and maximums: If checked, minimum and maximum simulation values are logged to the workspace.

Conversions and Operations

The FIR coefficients parameter is converted from doubles to the specified data type offline using round-to-nearest and saturation.The Initial condition parameter is converted from doubles to the input data type offline using round-to-nearest and saturation. Refer to Parameter Conversions for more information about parameter conversions.

The FixPt FIR block first multiplies its inputs by the FIR coefficients parameter, converts those results to the output data type using the specified rounding and overflow modes, and then carries out the summation. Refer to Rules for Arithmetic Operations for more information about the rules this block adheres to when performing operations.

Example

Suppose you want to configure this block for two outputs (SIMO mode) where the first output is given by

the second output is given by

and the initial values of u(k - 1) and u(k - 2) are given by ic1 and ic2, respectively. To configure the FixPt FIR block for this situation, you must specify the FIR coefficient parameter as [a1 b1 c1; a2 b2 c2] where c2 = 0, and the Initial condition parameter as [ic1 ic2].

Characteristics

Input Ports
Any data type supported by the blockset - it must be a scalar

Output Port
Any data type supported by the blockset

Direct Feedthrough
Yes

Sample Time
Specified as a parameter

Scalar Expansion
Of initial conditions

States
One less than the columns in the FIR coefficients vector or matrix

Vectorized
No

Input Ports	Any data type supported by the blockset - it must be a scalar
Output Port	Any data type supported by the blockset
Direct Feedthrough	Yes
Sample Time	Specified as a parameter
Scalar Expansion	Of initial conditions
States	One less than the columns in the FIR coefficients vector or matrix
Vectorized	No

FixPt Dynamic Look-Up Table FixPt Gain