MATLAB의 고정소수점 행렬 연산
다음 함수를 사용하여 고정소수점 수학 연산과 행렬 연산을 수행하고 효율적인 코드를 생성할 수 있습니다. 이러한 함수는 선형 연립방정식의 해를 구하고, 임베디드 장치에 효율적인 방식으로 행렬 분해를 수행합니다.
함수
도움말 항목
- Determine Fixed-Point Types for QR Decomposition
Use
fixed.qrFixedpointTypes
to determine fixed-point types for computation of QR decomposition. - Determine Fixed-Point Types for Q-less QR Decomposition
Use
fixed.qlessqrFixedpointTypes
to determine fixed-point types for computation of Q-less QR decomposition. - Algorithms to Determine Fixed-Point Types for Complex Q-less QR Matrix Solve A'AX=B
Derivation of algorithms for determining fixed-point types for complex Q-less QR matrix solve.
- Determine Fixed-Point Types for Complex Q-less QR Matrix Solve A'AX=B
Use
fixed.complexQlessQRFixedpointTypes
to determine fixed-point types for computation of the complex least-squares matrix equation. - Determine Fixed-Point Types for Complex Q-less QR Matrix Solve with Tikhonov Regularization
This example shows how to use the
fixed.complexQlessQRMatrixSolveFixedpointTypes
function to analytically determine fixed-point types for the solution of the complex least-squares matrix equation - Algorithms to Determine Fixed-Point Types for Complex Least-Squares Matrix Solve AX=B
Derivation of algorithms for determining fixed-point types for complex QR matrix solve.
- Determine Fixed-Point Types for Complex Least-Squares Matrix Solve AX=B
Use
fixed.complexQRFixedpointTypes
to determine fixed-point types for computation of the complex least-squares matrix equation. - Tikhonov 정규화를 사용하여 복소수 최소제곱 행렬 해의 고정소수점 데이터형 결정하기
이 예제에서는
fixed.complexQRMatrixSolveFixedpointTypes
함수를 사용하여 복소수 최소제곱 행렬 방정식 해의 고정소수점 데이터형을 해석적으로 결정하는 방법을 보여줍니다. - Algorithms to Determine Fixed-Point Types for Real Q-less QR Matrix Solve A'AX=B
Derivation of algorithms for determining fixed-point types for real Q-less QR matrix solve.
- Determine Fixed-Point Types for Real Q-less QR Matrix Solve A'AX=B
Use
fixed.realQlessQRFixedpointTypes
to determine fixed-point types for computation of the real least-squares matrix equation. - Determine Fixed-Point Types for Real Q-less QR Matrix Solve with Tikhonov Regularization
This example shows how to use the
fixed.realQlessQRMatrixSolveFixedpointTypes
function to analytically determine fixed-point types for the solution of the real least-squares matrix equation - Algorithms to Determine Fixed-Point Types for Real Least-Squares Matrix Solve AX=B
Derivation of algorithms for determining fixed-point types for real least-squares matrix solve.
- Determine Fixed-Point Types for Real Least-Squares Matrix Solve AX=B
Use
fixed.realQRMatrixSolveFixedpointTypes
to determine fixed-point types for computation of the real least-squares matrix equation. - Determine Fixed-Point Types for Real Least-Squares Matrix Solve with Tikhonov Regularization
This example shows how to use the
fixed.realQRMatrixSolveFixedpointTypes
function to analytically determine fixed-point types for the solution of the real least-squares matrix equation - Compute Forgetting Factor Required for Streaming Input Data
Use
fixed.forgettingFactor
andfixed.forgettingFactorInverse
to compute forgetting factor. - Estimate Standard Deviation of Quantization Noise of Complex-Valued Signal
Use
fixed.complexQuantizationNoiseStandardDeviation
to estimate standard deviation of quantization noise. - Estimate Standard Deviation of Quantization Noise of Real-Valued Signal
Use
fixed.realQuantizationNoiseStandardDeviation
to estimate standard deviation of quantization noise.