MATLAB에서 고정소수점 객체 만들기

고정소수점 데이터 생성을 위한 fi 및 numerictype

Fixed-Point Designer™ fi 객체를 사용하여 고정소수점 데이터를 생성할 수 있습니다. fi 생성자 내에서 numerictype 속성과 fimath 속성을 지정할 수 있습니다. fi 객체마다 연관된 numerictype 객체가 있습니다. numerictype 객체는 워드 길이, 소수부 길이, 부호의 유무 등 fi 객체에 대한 정보를 저장합니다. numerictype 객체는 Simulink^®의 fixdt 객체와 동등합니다.

함수

모두 확장

고정소수점 숫자형 객체 생성

`fi`	고정소수점 숫자형 객체 생성

고정소수점 수학 연산 설정

`fimath`	Set fixed-point math settings
`fixed.fimathLike`	Return `fimath` object like the input (R2022b 이후)
`globalfimath`	Configure global fimath and return handle object
`removefimath`	Remove `fimath` from `fi` object
`removeglobalfimathpref`	Remove global fimath preference
`resetglobalfimath`	Set global fimath to MATLAB factory default
`setfimath`	Attach `fimath` object to `fi` object

고정소수점 기본 설정

`fipref`	Set fixed-point preferences
`savefipref`	Save `fi` preferences for next MATLAB session
`isfipref`	입력값이 `fipref` 객체인지 확인

`fi` 객체의 속성

`lowerbound`	`fi` 객체 범위의 하한
`lsb`	Scaling of least significant bit of `fi` object, or value of least significant bit of `quantizer` object
`range`	`fi` 또는 `quantizer` 객체의 수치 범위
`upperbound`	`fi` 객체 범위의 상한
`sort`	실수 값 `fi` 객체의 요소를 오름차순 또는 내림차순으로 정렬

객체 및 속성

`fixed.aggregateType`	Compute aggregate numerictype
`get`	Property values of object
`isequal`	Determine whether real-world values of two `fi` objects are equal, or determine whether properties of two `fimath`, `numerictype`, or `quantizer` objects are equal
`isequaln`	Determine equality of fixed-point arrays, treating NaN values as equal (R2021a 이후)
`reset`	객체를 초기 조건으로 재설정
`set`	`quantizer` 객체의 속성값 설정 또는 표시
`mat2str`	행렬을 문자열로 변환
`tostring`	`fi`, `fimath`, `numerictype` 또는 `quantizer` 객체를 문자열로 변환

클래스

numerictype 고정소수점 또는 부동소수점 데이터형을 나타내는 embedded.numerictype 객체 생성

도움말 항목

고정소수점 숫자형 객체 생성

Create Fixed-Point Data
This example shows the basics of how to use the fixed-point numeric object fi.
View Fixed-Point Data
fi object display settings used in code examples.
Ways to Construct fi Objects
Build fi object constructors in the command line or by using a GUI.
Set fi Object Properties
Tells you how to find more information about the properties associated with fi objects, and shows you how to set these properties.
Fixed-Point Versus Built-in Integer Types
Differences between fixed-point data types and built-in integer data types in MATLAB^®.

고정소수점 수학 연산 설정

fimath Object Construction
Creation of fimath objects.
fimath Object Properties
Properties and property settings associated with fimath objects.
fimath Properties Usage for Fixed-Point Arithmetic
Fixed-point arithmetic using fimath objects to control the results.
fimath for Sharing Arithmetic Rules
Using a fimath object to share modular arithmetic information among multiple fi objects.
fimath for Rounding and Overflow Modes
Order setting for overflow action and rounding method.
fimath ProductMode and SumMode
Differences among the different settings of the ProductMode and SumMode properties.
How Functions Use fimath
Functions that ignore or discard fimath.

고정소수점 기본 설정

Set fi Object Display Preferences Using fipref
Examples of using fipref objects to set display preferences for fi objects.
Data Type Override Preferences Using fipref
Data type override using the fipref object.
Underflow and Overflow Logging Using fipref
Examples of using fipref objects to set logging preferences for fi objects.

숫자형 정보

numerictype Object Construction
Construction of numerictype objects.
numerictype Object Properties
Properties and property settings associated with numerictype objects.
numerictype of Fixed-Point Objects
Fields and settings for the numerictype object.
numerictype Objects Usage to Share Data Type and Scaling Settings of fi objects
Example of using a numerictype object to share modular data type and scaling information among multiple fi objects.

응용 사례

Fixed-Point Design Exploration in Parallel
This example shows how to explore and test fixed-point designs by distributing tests across many computers in parallel.
Real-Time Image Acquisition, Image Processing, and Fixed-Point Blob Analysis for Target Practice Analysis
This example shows how to acquire real-time images from a GigE Vision® camera or webcam, process the images using fixed-point blob analysis, and determine world coordinates to score a laser pistol target.