Data Type Optimization in金宝app
Data type optimization automatically iterates through various fixed-point configurations to choose the optimal heterogeneous data types while meeting tolerance constraints on the numerical behavior of your system. The optimization seeks to minimize an objective function, such as total bit width or total operator counts, using fixed-point data types for an efficient design.
You can optimize data types using thefxpopt
function at the command line, or by using theOptimized Fixed-Point Conversion
workflow in the Fixed-Point Tool.
Functions
fxpopt |
Optimize data types of a system |
Classes
fxpOptimizationOptions |
Specify options for data type optimization |
OptimizationSolution |
Optimized fixed-point implementation of system |
OptimizationResult |
Result after optimizing fixed-point system |
Topics
Convert data types in your model to fixed point in one of three ways.
Specify Behavioral Constraints
用信号误差和模型验证s to verify behavior of fixed-point implementation.
Optimize Fixed-Point Data Types for a System
Optimize data types in a system based on specified tolerances.
Optimize the Fixed-Point Data Types of a System Using the Fixed-Point Tool
Use the Fixed-Point Tool to optimize the data types of a system using multiple simulation scenarios.
Optimize Data Types Using Multiple Simulation Scenarios
Define multiple simulation scenarios for range collection and verification.
Troubleshooting
Blocks That Do Not Support Fixed-Point Data Types
Troubleshoot blocks that are not supported for fixed-point conversion.
Data Type Optimization Not Successful
Troubleshoot errors thrown during data type optimization using thefxpopt
function.