FIR II IP Core: User Guide

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ID 683208
Date 6/12/2020
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Document Table of Contents
Document Table of Contents x
1. About the FIR II IP Core 2. FIR II IP Core Getting Started 3. FIR II IP Core Parameters 4. FIR II IP Core Functional Description 5. Document Revision History for the FIR II IP User Guide A. FIR II IP Core Document Archive
1. About the FIR II IP Core x
1.1. DSP Intel® FPGA IP Features 1.2. FIR II IP Core Features 1.3. FIR II IP Device Support 1.4. DSP Intel® FPGA IP Verification 1.5. FIR II IP Core Release Information 1.6. FIR II IP Core Performance and Resource Utilization
2. FIR II IP Core Getting Started x
2.1. Installing and Licensing Intel® FPGA IP Cores 2.2. IP Catalog and Parameter Editor 2.3. Specifying the IP Core Parameters and Options ( Intel® Quartus® Prime Pro Edition) 2.4. Simulating Intel® FPGA IP Cores 2.5. Simulating the FIR II IP Core Testbench in MATLAB 2.6. DSP Builder for Intel® FPGAs Design Flow
2.1. Installing and Licensing Intel® FPGA IP Cores x
2.1.1. Intel® FPGA IP Evaluation Mode 2.1.2. FIR II IP Core Intel® FPGA IP Evaluation Mode Timeout Behavior
2.3. Specifying the IP Core Parameters and Options ( Intel® Quartus® Prime Pro Edition) x
2.3.1. IP Core Generation Output ( Intel® Quartus® Prime Pro Edition)
3. FIR II IP Core Parameters x
3.1. FIR II IP Core Filter Specification 3.2. FIR II IP Core Coefficient Settings 3.3. FIR II IP Core Coefficients 3.4. FIR II IP Core Input and Output Options 3.5. FIR II IP Core Implementation Options 3.6. FIR II IP Core Reconfigurability
3.3. FIR II IP Core Coefficients x
3.3.1. Loading Coefficients from a File
3.4. FIR II IP Core Input and Output Options x
3.4.1. Signed Fractional Binary 3.4.2. MSB and LSB Truncation, Saturation, and Rounding
3.5. FIR II IP Core Implementation Options x
3.5.1. Memory and Multiplier Trade-Offs
3.5.1. Memory and Multiplier Trade-Offs x
3.5.1.1. Using Memory Block Threshold 3.5.1.2. Using Dual-port RAM Threshold 3.5.1.3. Using Large RAM Threshold 3.5.1.4. Using Hard Multiplier Threshold
4. FIR II IP Core Functional Description x
4.1. FIR II IP Core Interpolation Filters 4.2. FIR Decimation Filters 4.3. FIR II IP Core Time-Division Multiplexing 4.4. FIR II IP Core Multichannel Operation 4.5. FIR II IP Core Multiple Coefficient Banks 4.6. FIR II IP Core Coefficient Reloading 4.7. Reconfigurable FIR Filters 4.8. FIR II IP Core Interfaces and Signals
4.4. FIR II IP Core Multichannel Operation x
4.4.1. Vectorized Inputs 4.4.2. Channelization 4.4.3. Channel Input and Output Format
4.4.3. Channel Input and Output Format x
4.4.3.1. Eight Channels on Three Wires 4.4.3.2. Four Channels on Four Wires 4.4.3.3. 15 Channels with 15 Valid Cycles and 17 Invalid Cycles 4.4.3.4. 22 Channels with 11 Valid Cycles and 9 Invalid Cycles 4.4.3.5. Super Sample Rate
4.8. FIR II IP Core Interfaces and Signals x
4.8.1. Avalon Streaming Interfaces in DSP Intel FPGA IP 4.8.2. FIR II IP Core Avalon-ST Interfaces 4.8.3. FIR II IP Core Signals
4.8.2. FIR II IP Core Avalon-ST Interfaces x
4.8.2.1. Avalon-ST Sink Interface 4.8.2.2. Avalon-ST Source Interface
4.8.2.1. Avalon-ST Sink Interface x
4.8.2.1.1. Single Channel on Single Wire 4.8.2.1.2. Multiple Channels on Single Wire 4.8.2.1.3. Multiple Channels on Multiple Wires
1. About the FIR II IP Core
2. FIR II IP Core Getting Started
3. FIR II IP Core Parameters
4. FIR II IP Core Functional Description
5. Document Revision History for the FIR II IP User Guide
A. FIR II IP Core Document Archive

4.4.1. Vectorized Inputs

The data inputs and outputs for the FIR II IP core blocks can be vectors. Use this capability when the clock rate is insufficiently high to carry the total aggregate data. For example, 10 channels at 20 MSPS require 10 × 20 = 200 MSPS aggregate data rate. If you set the system clock rate to 100 MHz, two wires are required to carry this data, and so the FIR II IP core uses a vector of width 2.

This approach is unlike traditional methods because you do not need to manually instantiate two FIR filters and pass a single wire to each in parallel. Each FIR II IP core block internally vectorizes itself. For example, a FIR II IP core block can build two FIR filters in parallel and wire one element of the vector up to each FIR. The same paradigm is used on outputs, where high data rates on multiple wires are represented as vectors.

The input and output wire counts are determined by each FIR II IP core based on the clock rate, sample rate, and number of channels.

The output wire count is also affected by any rate changes in the FIR II IP core. If there is a rate change, such interpolating by two, the output aggregate sample rate doubles. The output channels are then packed into the fewest number of wires (vector width) that will support that rate. For example, an interpolate by two FIR II IP core filters might have two wires at the input, but three wires at the output.

Any necessary multiplexing and packing is performed by the FIR II IP core. The blocks connected to the inputs and outputs must have the same vector widths. Vector width errors can usually be resolved by carefully changing the sample rates.

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