Fixed-Point Matrix Operations in万博1manbetx
Optimized fixed-point math and matrix operations blocks for efficient HDL code
使用定点Designer™库的块来执行固定点数学操作。
Use the Fixed-Point Designer HDL Optimized library of blocks to perform fixed-point math and matrix operations and generate efficient HDL code. These blocks model design patterns for systems of linear equations and core matrix operations, such as QR Decomposition, for hardware-efficient implementation on FPGAs. Generate HDL code for designs that incorporate these blocks using HDL Coder™.
blocks
功能
Topics
Math Operations
- Implement Hardware-Efficient Hyperbolic Tangent
Implement a hardware-efficient hyperbolic tangent. - How to Use HDL Optimized Normalized Reciprocal
此示例显示了如何以及何时使用normalizedReciprocal
function and the Normalized Reciprocal HDL Optimized block to compute the normalized reciprocal of an input. - Implement Hardware-Efficient Real Divide HDL Optimized
如何使用真实的Divide HDL优化块。 - Implement Hardware-Efficient Complex Divide HDL Optimized
如何使用复杂的Divide HDL优化块。 - Implement HDL Optimized Modulo By Constant
How to use the Modulo by Constant HDL Optimized block.
线性系统求解器:爆发实现
- 使用QR分解实现硬件有效的真实突发矩阵求解
How to use the Real Burst Matrix Solve Using QR Decomposition block. - 使用tikhonov正则化实施硬件有效的真实突发矩阵求解
This example shows how to use the Real Burst Matrix Solve Using QR Decomposition block to solve the regularized least-squares matrix equation - Implement Hardware-Efficient Real Burst Matrix Solve Using Q-less QR Decomposition
如何使用无Q-QR分解块求解真实突发矩阵。 - Implement Hardware-Efficient Real Burst Matrix Solve Using Q-less QR Decomposition with Tikhonov Regularization
This example shows how to use the Real Burst Matrix Solve Using QR Decomposition block to solve the regularized least-squares matrix equation - 使用QR分解实现硬件有效的复杂爆发矩阵求解
如何使用QR分解块求解复合爆发矩阵。 - 使用QR分解实现硬件有效的复杂爆发矩阵求解with Tikhonov Regularization
此示例显示了如何使用QR分解块使用复杂的突发矩阵求解来求解正则化最小二乘矩阵方程 - 使用无Q-QR QR分解实现硬件有效的复杂爆发矩阵求解
How to use the Complex Burst Matrix Solve Using Q-less QR Decomposition block. - 使用Tikhonov正则化实施硬件有效的复杂爆发矩阵求解求解
此示例显示了如何使用QR分解块使用复杂的突发矩阵求解来求解正则化最小二乘矩阵方程
线性系统求解器: Partial-Systolic Implementation
- 使用QR分解实现硬件有效的实际部分平均矩阵求解
如何使用QR分解块求解真实的部分平均矩阵。 - 使用QR分解实现硬件有效的真实部分平均矩阵求解和对角线负载
How to use the Real Partial-Systolic Matrix Solve Using QR Decomposition Block with diagonal loading. - 使用QR分解实现硬件有效的实际部分平均矩阵求解with Tikhonov Regularization
This example shows how to use the Real Partial-Systolic Matrix Solve Using QR Decomposition block to solve the regularized least-squares matrix equation - 使用QR QR分解实现硬件有效的实际部分血清验证矩阵求解
如何使用无Q-lesh QR分解块求解真实的部分平均矩阵。 - 使用QR QR分解实现硬件有效的实际部分血清验证矩阵求解with Forgetting Factor
How to use the Real Partial-Systolic Matrix Solve Using Q-less QR Decomposition with Forgetting Factor block. - 使用QR QR分解实现硬件有效的实际部分血清验证矩阵求解with Tikhonov Regularization
此示例显示了如何使用Q-less QR分解块使用实际的部分血压矩阵求解来求解正则化最小二乘矩阵方程 - Implement Hardware-Efficient Complex Partial-Systolic Matrix Solve Using QR Decomposition
How to use the Complex Partial-Systolic Matrix Solve Using QR Decomposition block. - Implement Hardware-Efficient Complex Partial-Systolic Matrix Solve Using QR Decomposition with Diagonal Loading
How to use the Complex Partial-Systolic Matrix Solve Using QR Decomposition Block with diagonal loading. - 使用Tikhonov正则化实施硬件有效的复杂部分平均矩阵求解
This example shows how to use the Complex Partial-Systolic Matrix Solve Using QR Decomposition block to solve the regularized least-squares matrix equation - Implement Hardware-Efficient Complex Partial-Systolic Matrix Solve Using Q-less QR Decomposition
如何使用复杂的部分平均矩阵使用Q-le-qr QR分解块求解。 - 使用忘记因子实现硬件有效的复杂部分冲压矩阵求解求解
How to use the Complex Partial-Systolic Matrix Solve Using Q-less QR Decomposition with Forgetting Factor block. - Implement Hardware-Efficient Complex Partial-Systolic Matrix Solve Using Q-less QR Decomposition with Tikhonov Regularization
This example shows how to use the Complex Partial-Systolic Matrix Solve Using QR Decomposition block to solve the regularized least-squares matrix equation
矩阵因法化:爆发实现
- Implement Hardware-Efficient Real Burst QR Decomposition
如何使用真实的爆发QR分解块。 - Implement Hardware-Efficient Real Burst Q-less QR Decomposition
How to use the Real Burst Q-less QR Decomposition block. - Implement Hardware-Efficient Complex Burst QR Decomposition
如何使用复杂的爆发QR分解块。 - Implement Hardware-Efficient Complex Burst Q-less QR Decomposition
如何使用复杂的爆发Q-QR QR分解块。
矩阵因素化: Partial-Systolic Implementation
- Implement Hardware-Efficient Real Partial-Systolic QR Decomposition
How to use the Real Partial-Systolic QR Decomposition block. - Implement Hardware-Efficient Real Partial-Systolic Q-less QR Decomposition
How to use the Real Partial-Systolic Q-less QR Decomposition block. - 用遗忘因素实施硬件有效的实际部分节奏Q-QR QR
How to use the Real Partial-Systolic Q-less QR Decomposition with Forgetting Factor block. - Implement Hardware-Efficient Complex Partial-Systolic QR Decomposition
How to use the Complex Partial-Systolic QR Decomposition block. - Implement Hardware-Efficient Complex Partial-Systolic Q-less QR Decomposition
How to use the Complex Partial-Systolic Q-less QR Decomposition block. - 用遗忘因素实现硬件有效的复杂部分冲压Q-QR QR
如何使用遗忘因子块的复杂部分平均Q-QR分解。
一个nalytically Determine Fixed-Point Data Types for Linear System Solvers and Matrix Factorizations
- Determine Fixed-Point Types for QR Decomposition
Userecix.qrfixedPointTypes
确定用于计算QR分解的定点类型。 - Determine Fixed-Point Types for Q-less QR Decomposition
Userecix.qlessqrfixedPointTypes
至determine fixed-point types for computation of Q-less QR decomposition. - 算法确定复杂Q的QR矩阵求解a'ax = b的定点类型
为确定fixed-poi推导的算法nt types for complex Q-less QR matrix solve. - 确定复杂Q-b-qr矩阵求解A'AX = B的定点类型
Usefixed.complexQlessQRFixedpointTypes
确定用于计算复杂最小二乘矩阵方程的定点类型。 - Determine Fixed-Point Types for Complex Q-less QR Matrix Solve with Tikhonov Regularization
This example shows how to use thefield.complexq QRMATRIXSOLVELLIXSOLVEFIXEDPOINTTYPES
function to analytically determine fixed-point types for the solution of the complex least-squares matrix equation - 一个lgorithms to Determine Fixed-Point Types for Complex Least-Squares Matrix Solve AX=B
为确定fixed-poi推导的算法nt types for complex QR matrix solve. - 确定复杂最小二乘矩阵求解ax = b的固定点类型
Usefield.complexqrfixedPointTypes
确定用于计算复杂最小二乘矩阵方程的定点类型。 - Determine Fixed-Point Types for Complex Least-Squares Matrix Solve with Tikhonov Regularization
This example shows how to use thefixed.complexQRMatrixSolveFixedpointTypes
function to analytically determine fixed-point types for the solution of the complex least-squares matrix equation - 一个lgorithms to Determine Fixed-Point Types for Real Q-less QR Matrix Solve A'AX=B
为确定fixed-poi推导的算法nt types for real Q-less QR matrix solve. - 确定无Q-nele QR矩阵求解a'ax = b的定点类型
Usefixed.realQlessQRFixedpointTypes
至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 thefixed.realQlessQRMatrixSolveFixedpointTypes
function to analytically determine fixed-point types for the solution of the real least-squares matrix equation - 确定真正最小二乘矩阵求解ax = b的算法以确定定点类型
用于确定真正最小二乘矩阵求解的固定点类型的算法的推导。 - 确定真正最小二乘矩阵求解ax = b的定点类型
Usefixe.RealQRMATRIXSOLVESOLVEFIXEDPOINTTYPES
至determine fixed-point types for computation of the real least-squares matrix equation. - 用Tikhonov正则化确定真正最小二乘矩阵求解的定点类型
This example shows how to use thefixe.RealQRMATRIXSOLVESOLVEFIXEDPOINTTYPES
function to analytically determine fixed-point types for the solution of the real least-squares matrix equation - 计算流式输入数据所需的遗忘因素
Usefixed.forgettingFactor
和固定。捕获孔道
至compute forgetting factor. - Estimate Standard Deviation of Quantization Noise of Complex-Valued Signal
Usefixed.complexQuantizationNoiseStandardDeviation
估计量化噪声的标准偏差。 - 估计实价信号的量化噪声的标准偏差
Usefixed.realQuantizationNoiseStandardDeviation
估计量化噪声的标准偏差。