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SVD的应用，奇异值超平面正交投影证明
A中每个向量xi在随机阵B上的正交投影之和的最小值-Application of SVD, singular value hyperplane orthogonal projection proves A vector xi for each B in a random array of the orthogonal projection and the minimum
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利用matlab仿真软件，实现8QAM调制。在实现时采用正交调幅的方式,某星座点在I坐标上的投影去调制同相载波的幅度,在Q坐标上的投影去调制正交载波的幅度,然后将2个调幅信号相加就是所需的调相信号。-Use of matlab simulation software to achieve 8QAM modulation. In achieving the adoption of quadrature amplitude modulation means of a constellation in
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本题写了一个EE3的产品描述，是四维的。确实很难想像清楚。我们这样想就行。它有四个坐标，每一维都可以放上一个立方体，边长为1.然后就是怎么判断是否Inconsistent，有两种情况：1），如题上举的例子，ID为1的在x2坐标上前面是3，那么ID为3的在X2坐标的后面应该是1，否则就Inconsistent。-We usually think that there are three geometric dimensions the fourth dimension is usually ti
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orthogonal projection algorithm
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采用正交投影生成子空间算法来进行最大似然估计，程序已经运行出结果。可以放心使用-Orthogonal subspace projection algorithm for generating maximum likelihood estimates, the program has run out of results. Safe to use
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提出的正交LPP具有的优良特性是：能够较好的重构数据，并包含较好的判别能力-The orthogonal locality
preserving projection (OLPP) method produces orthogonal basis functions
and can have more locality preserving power than LPP. Since the locality
preserving power is potentially relat
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应用正交匹配追踪求解等式y=Ax,要求：
待求x是稀疏向量，A为高斯随机矩阵
调用形式：x = myomp(A,y,err)
A -线性投影矩阵；
y -投影向量
err -所需精度-apply Orthogonal matching pursuit to solve the equation y = Ax,
requirements:
the unknown x is sparse vector,
A is a Gaussian random.
ca
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基于欧几里得距离的聚类分析，多元数据分析的主分量分析投影，是学习PCA特征提取的很好的学习资料，Matlab实现界面友好，本程序的性能已经超过其他算法，有详细的注释，匹配追踪和正交匹配追踪。- Clustering analysis based on Euclidean distance, Principal component analysis of multivariate data analysis projection, Is a good learning materials to l
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文件中是OLPP(正交保持投影)的MATLAB代码.-File is OLPP (orthogonal projection holding) MATLAB code.
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此文件是对KOLPP（核正交保持投影）的MATLAB实现-This file is KOLP (holding nuclear orthogonal projection) MATLAB implementation
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While by far their most common application, the original gradient projection algorithms of Jennrich (2000, 2001) were not restricted to rotation. They could, for example, be used to optimize the DEDICOM criterion, to simultaneously diagonalize severa
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自己编的。采用GPS仿真信号，基于子空间正交投影的抗干扰DOA估计算法，-Using GPS signal simulation, based on subspace orthogonal projection interference DOA estimation algorithm,
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信号处理中的旋转不变子空间法，多元数据分析的主分量分析投影，匹配追踪和正交匹配追踪。- Signal Processing ESPRIT method, Principal component analysis of multivariate data analysis projection, Matching Pursuit and orthogonal matching pursuit.
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比较了干扰对齐算法中，正交投影与一般算法（经典算法，数值计算的迭代方法）的性能(orthogonal projection algorithm)
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