Description: The module LSQ is for unconstrained linear least-squares fitting. It is
based upon Applied Statistics algorithm AS 274 (see comments at the start
of the module). A planar-rotation algorithm is used to update the QR-
factorization. This makes it suitable for updating regressions as more
data become available. The module contains a test for singularities which
is simpler and quicker than calculating the singular-value decomposition.
An important feature of the algorithm is that it does not square the condition
number. The matrix X X is not formed. Hence it is suitable for ill-
conditioned problems, such as fitting polynomials.
By taking advantage of the MODULE facility, it has been possible to remove
many of the arguments to routines. Apart from the new function VARPRD,
and a back-substitution routine BKSUB2 which it calls, the routines behave
as in AS 274.-The module is for unconstrained linear least-squares fitting. It is based upon Applied Statistics algorithm AS 274 (see comments at the start of the module). A planar - rotation algorithm is used to update the QR-factorization. This makes it suitable for updating regressions as more data become available. The module contains a test for singularities which is simpler and quicker than calculating the singular-value decomposition. An important feature of the algorithm is that it does not square the condition number. The matrix X X is not formed. Hence it is suitable for ill-conditioned problems, such as fitting Polynomials. By taking advantage of the MODULE facility, it has been possible to remove many of the arguments to routines. Apart from the new function VARPRD, and a back - substitution Platform: |
Size: 57867 |
Author:AiQing |
Hits:
Description: 提出了一种新的自适应盲源分离算法。在无噪音实时两源两传感器的情况下, 一旦观
测信号被白化, 只需要辨识一个特定的旋转矩阵就可以完成盲源分离, 并给出了能表征该旋转矩阵的角的自适应估计器。仿真结果表明, 当满足源峭度和不为零的条件时, 这种方法是一种稳定的和有效的分离算法。-proposes a new adaptive algorithm for blind source separation. In the absence of real-time two noise sources two sensor case, once observed signal was albino, only need to identify a specific rotation matrix can be completed blind source separation, given to the characterization of the angle of rotation matrix adaptive estimation. Simulation results show that when the source met in front of zero degrees and the conditions, this method is a stable and effective separation algorithm. Platform: |
Size: 269625 |
Author:沈研宏 |
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Description: 这是用VC环境C++写的一个简单的矩阵旋转算法，-This is the VC environment with the C write a simple rotation matrix algorithm, Platform: |
Size: 6477 |
Author:anyaozu |
Hits:
Description: The module LSQ is for unconstrained linear least-squares fitting. It is
based upon Applied Statistics algorithm AS 274 (see comments at the start
of the module). A planar-rotation algorithm is used to update the QR-
factorization. This makes it suitable for updating regressions as more
data become available. The module contains a test for singularities which
is simpler and quicker than calculating the singular-value decomposition.
An important feature of the algorithm is that it does not square the condition
number. The matrix X X is not formed. Hence it is suitable for ill-
conditioned problems, such as fitting polynomials.
By taking advantage of the MODULE facility, it has been possible to remove
many of the arguments to routines. Apart from the new function VARPRD,
and a back-substitution routine BKSUB2 which it calls, the routines behave
as in AS 274.-The module is for unconstrained linear least-squares fitting. It is based upon Applied Statistics algorithm AS 274 (see comments at the start of the module). A planar- rotation algorithm is used to update the QR-factorization. This makes it suitable for updating regressions as more data become available. The module contains a test for singularities which is simpler and quicker than calculating the singular-value decomposition. An important feature of the algorithm is that it does not square the condition number. The matrix X X is not formed. Hence it is suitable for ill-conditioned problems, such as fitting Polynomials. By taking advantage of the MODULE facility, it has been possible to remove many of the arguments to routines. Apart from the new function VARPRD, and a back- substitution Platform: |
Size: 57344 |
Author: |
Hits:
Description: 提出了一种新的自适应盲源分离算法。在无噪音实时两源两传感器的情况下, 一旦观
测信号被白化, 只需要辨识一个特定的旋转矩阵就可以完成盲源分离, 并给出了能表征该旋转矩阵的角的自适应估计器。仿真结果表明, 当满足源峭度和不为零的条件时, 这种方法是一种稳定的和有效的分离算法。-proposes a new adaptive algorithm for blind source separation. In the absence of real-time two noise sources two sensor case, once observed signal was albino, only need to identify a specific rotation matrix can be completed blind source separation, given to the characterization of the angle of rotation matrix adaptive estimation. Simulation results show that when the source met in front of zero degrees and the conditions, this method is a stable and effective separation algorithm. Platform: |
Size: 269312 |
Author: |
Hits:
Description: 这是用VC环境C++写的一个简单的矩阵旋转算法，-This is the VC environment with the C write a simple rotation matrix algorithm, Platform: |
Size: 249856 |
Author:anyaozu |
Hits:
Description: QR分解SMI算法的目的正是要避免直接来解线性方程，而是将自相关矩阵分解，并利用Givens旋转实现数据矩阵的QR分解，最终将权矢量的求解问题转化为三角线性方程组的求解问题。-QR decomposition SMI algorithm, whose objective it is to avoid directly to solution of linear equations, but will auto-correlation matrix decomposition, and the use of Givens rotation implementation of the QR decomposition of data matrix, the weight vector will eventually solve the problem into a triangular system of linear equations solving the problem. Platform: |
Size: 1024 |
Author:张亚光 |
Hits:
Description: 基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。-Feature extraction of specified object is an
important preprocessing stage in machine vision
systems. In this paper, we present a novel hybrid
feature extraction method using PCNN (Pulse Coupled
Neural Network) and shape information. First, we use
PCNN firing map train to formulate object’s time
signature, then we use roundness of each firing map to
formulate object’s shape information vector, the final
feature matrix we got is combined time signature and
roundness. We take correlations as our judge criteria
in our experiments. It has been proved that the
algorithm is not sensitivity with the rotation, scaling
and translation of the object and is a useful method for
target recognition applications. Platform: |
Size: 1024 |
Author:wangxiaofei |
Hits:
Description: A very flexible Matrix rotation algorithm.
You can use the code to rotate a given point in XYZ axis.
The sample code provided here, will rotate a cube in 3D.
The code is written in VB6, but it can be used in any other language.
(Matrix rotation algorithm is the core) Platform: |
Size: 6144 |
Author:zafari |
Hits:
Description: 该程序是将摄像机旋转矩阵反求得到欧拉角过程，算法简单，容易操作。-The program is to get the camera rotation matrix Euler angle reverse the process, the algorithm is simple, easy to operate. Platform: |
Size: 1024 |
Author:胡刚 |
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Description: 迭代最近点算法的完整Matlab程序，输入两个点集，输出旋转矩阵、平移向量和整体误差，验证可用。-Complete iterative closest point algorithm Matlab program, enter the two point sets, the output rotation matrix and translation vector and the overall error, verify availability. Platform: |
Size: 8192 |
Author:Mike |
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Description: 文件包含用于位姿估测、旋转矩阵计算的一系列小程序，分别为TRIAD算法、QUEST算法、改进型TRIAD算法、改进型QUEST算法。-The document contains a series of small procedures for the position and attitude estimation, rotation matrix calculation, respectively, TRIAD algorithm, QUEST algorithm, improved TRIAD algorithm, improved QUEST algorithm. Platform: |
Size: 3072 |
Author:冷青凡 |
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Description: Arduino+MPU6050整合,以数字输出6轴或9轴的旋转矩阵、四元数、欧拉角格式的融合演算数据。-Arduino+MPU6050 integration, digital output of 6 or 9 axis of the rotation matrix, the number of four yuan, the Euler angle format of the data fusion algorithm.
Platform: |
Size: 1359872 |
Author:cer25 |
Hits:
Search - rotation matrix algorithm