Filter Design HDL Coder™ provides filter optimization options to improve speed or area of the hardware implementation of the generated HDL code. The default filter implementation is a fully parallel architecture with multipliers included. Use these optimizations to modify the implementation of your filter in HDL:
Pipeline registers — See Improving Filter Performance with Pipelining.
Partly or fully serial architecture — See Speed vs. Area Tradeoffs.
Distributed arithmetic (DA) architecture — See Distributed Arithmetic for FIR Filters.
Canonical signed digit (CSD) or factored CSD techniques — See CSD Optimizations for Coefficient Multipliers.
|Distributed arithmetic information for filter architectures|
|Serial partition information for filter architectures|
|HDL Optimization Properties||Optimize speed or area of generated HDL code|
- Speed vs. Area Tradeoffs
Specify parallel, serial, partly serial, and cascade architectures for filters. Learn about optimization tradeoffs resulting from these choices.
- Distributed Arithmetic for FIR Filters
Use distributed arithmetic to achieve efficient multiply-accumulate circuitry for FIR filters.
- Architecture Options for Cascaded Filters
Describes architecture options for cascaded filters: serial, distributed arithmetic, and parallel.
- CSD Optimizations for Coefficient Multipliers
Use canonical signed digit (CSD) or factored CSD techniques to optimize multiplier operations.
- Improving Filter Performance with Pipelining
Optimize your generated filter code for speed by generating pipeline registers.
- Overall HDL Filter Code Optimization
Global optimization and how to handle numeric differences between optimized HDL code and the original design.
- Optimized FIR Filter
Design an optimized FIR filter, generate Verilog code for the filter, and verify the Verilog code with a generated test bench.