Description: PCA（主成分分析）算法被广泛应用于工程和科学研究中，本报告主要从PCA的基本结构和基本原理对其进行研究，常规的PCA算法主要采用线性算法，通过研究论证发现线性的PCA算法存在着许多不足，比如线性PCA算法不能从线性组合中把独立信号成分分离出来，主分量只由数据的二阶统计量—自相关阵确定，这种二阶统计量只能描述平稳的高斯分布等，因此必须对其进行改进，经改进后的PCA算法有非线性PCA算法、鲁棒算法等。我们通过PCA算法在直线（平面）中拟和的例子说明了PCA在工程中的应用。本例子采用的是成分分析中的次成分（方差最小的成分），通过对结果的分析，我们可以看出，利用PCA算法可以得到较好的拟和结果。-PCA (Principal Component Analysis) algorithm has been widely used in engineering and science research, This report mainly from the PCA and the basic structure of the basic tenets of its research, Conventional PCA algorithm used mainly linear algorithm, found through research and demonstration linear PCA algorithm, there are many inadequate, For example, not linear PCA algorithm from the linear combination of the independent signal components separated, PCA data only from the second-order statistics-auto-correlation matrix to determine, Such second-order statistics can only describe a smooth Gaussian distribution, it is necessary to improve it. After the improvement of the PCA algorithm is nonlinear PCA algorithm, robust algorithm. PCA algorithm we passed the line (plane), and to be example Platform: |
Size: 454700 |
Author:东方云 |
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Description: PCA（主成分分析）算法被广泛应用于工程和科学研究中，本报告主要从PCA的基本结构和基本原理对其进行研究，常规的PCA算法主要采用线性算法，通过研究论证发现线性的PCA算法存在着许多不足，比如线性PCA算法不能从线性组合中把独立信号成分分离出来，主分量只由数据的二阶统计量—自相关阵确定，这种二阶统计量只能描述平稳的高斯分布等，因此必须对其进行改进，经改进后的PCA算法有非线性PCA算法、鲁棒算法等。我们通过PCA算法在直线（平面）中拟和的例子说明了PCA在工程中的应用。本例子采用的是成分分析中的次成分（方差最小的成分），通过对结果的分析，我们可以看出，利用PCA算法可以得到较好的拟和结果。-PCA (Principal Component Analysis) algorithm has been widely used in engineering and science research, This report mainly from the PCA and the basic structure of the basic tenets of its research, Conventional PCA algorithm used mainly linear algorithm, found through research and demonstration linear PCA algorithm, there are many inadequate, For example, not linear PCA algorithm from the linear combination of the independent signal components separated, PCA data only from the second-order statistics-auto-correlation matrix to determine, Such second-order statistics can only describe a smooth Gaussian distribution, it is necessary to improve it. After the improvement of the PCA algorithm is nonlinear PCA algorithm, robust algorithm. PCA algorithm we passed the line (plane), and to be example Platform: |
Size: 454656 |
Author:东方云 |
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Description: Second and Higher-Order Statistics based Multiple-Input-Multiple-Output System
Blind Identification Matlab Code
-Second and Higher-Order Statistics based Multiple-Input-Multiple-Output System Blin Matlab d Identification Code Platform: |
Size: 22528 |
Author:于蕾 |
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Description: 这是一个关于多输入多输出系统的频域忙识别系统的matlab源码，作者基于二阶和更高阶统计，获得了比较良好的识别效果，文件中包含了文章，可参照起来理解源码。-This is one of the multiple-input multiple-output system in the frequency domain busy Recognition System Matlab source, Based on the second-order and higher-order statistics, access to a relatively good recognition results, the paper contains articles, can be read in the light source. Platform: |
Size: 342016 |
Author:到达 |
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Description: 基于二阶或更高阶统计方法的MIMO系统频域盲辨识-Based on second-order or more higher-order statistics method of frequency domain blind MIMO system identification Platform: |
Size: 342016 |
Author:王丽 |
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Description: Frequency Domain Blind MIMO System Identification Based on Second- and Higher Order Statistics Platform: |
Size: 809984 |
Author:陈特生 |
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Description: 基于二阶统计量的盲源分离算法程序,对原始算法做了一定得改进。-blind source separation based on second order statistics，madke some improvement to the origin arithmetic Platform: |
Size: 439296 |
Author:chenjian |
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Description: 很好用的ICA算法，用于盲分离算法，MATLAB代码，-about ICA Using second-order statistics (different time-delay correlation matrix) of non-stationary and structural characteristics of the signal timing can roughly Platform: |
Size: 10240 |
Author:liubiao |
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Description: 利用二阶统计量(不同时延相关矩阵)的非平稳性和信号时序结构特征，能简单估计出线性瞬时混合的盲源信号。但随时延 增-aracteristics of the signal, which difficult to ensure the performance of algorithm. Analysis of the average characteristics of matrix, and the improved algorithm for blind source separation based on second-order statistics presented in this paper. segmenting a set of equalization of the delay-related functions at the same delay, and calculating the mean about the two Platform: |
Size: 26624 |
Author:心结 |
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Description: 进行等时延分段，并对等间隔段的两个时延矩阵分别求取均值，采用类似联合近似对角化，估计出最优化的酉矩阵，-ing second-order statistics (different time-delay correlation matrix) of non-stationary and structural characteristics of the signal timing can roughly estimate that the instantaneous linear mixture of blind source signal. With the time delay increasing, only using a single delay covariance equalization and ignoring the time-varying characteristics of the signal, which difficult to ensure the performance of algorithm. Analysis of the average characteristics of ma Platform: |
Size: 166912 |
Author:心结 |
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Description: 此片文章是利用二阶循环统计量来对具有循环平稳特性的信号的检测算法-This film is the use of the article to the second-order loop statistics with cyclostationary properties of the signal detection algorithm Platform: |
Size: 584704 |
Author:崔玲玲 |
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Description: Distributed Beamforming for Relay Networks Based on Second-Order Statistics of the Channel Statement Information最小发送功率与最大信噪比的代码，结果与论文中相同，总共9个仿真图-Networks Based on Second-Order Statistics of the Channel Statement Information。Minimum transmit power with maximum signal-to-noise ratio of the code, the same results paper, a total of nine simulation Figure Platform: |
Size: 5120 |
Author:dalianmao |
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Description: Tactically maneuvering targets are difficult
to track since acceleration cannot be observed
directly and the accelerations are induced by human
control or an autonomous guidance system therefore
they are not subject to deterministic models. A common
tracking system is the two-state Kalman Filter
with a Singer maneuver model where the second order
statistics of acceleration is the same as a first
order Markov process. The Singer model assumes a
uniform probability distribution on the target s acceleration
which is independent of the x and y direction.
In practice, it is expected that targets have constant
forward speed and an acceleration vector normal to
the velocity vector, a condition not present in the
Singer model. This paper extends the work of Singer
by presenting a maneuver model which assumes constant
forward speed and a probability distribution on
the targets turn-rate-Tactically maneuvering targets are difficult
to track since acceleration cannot be observed
directly and the accelerations are induced by human
control or an autonomous guidance system therefore
they are not subject to deterministic models. A common
tracking system is the two-state Kalman Filter
with a Singer maneuver model where the second order
statistics of acceleration is the same as a first
order Markov process. The Singer model assumes a
uniform probability distribution on the target s acceleration
which is independent of the x and y direction.
In practice, it is expected that targets have constant
forward speed and an acceleration vector normal to
the velocity vector, a condition not present in the
Singer model. This paper extends the work of Singer
by presenting a maneuver model which assumes constant
forward speed and a probability distribution on
the targets turn-rate Platform: |
Size: 409600 |
Author:jorgehas |
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Description: Tactically maneuvering targets are difficult
to track since acceleration cannot be observed
directly and the accelerations are induced by human
control or an autonomous guidance system therefore
they are not subject to deterministic models. A common
tracking system is the two-state Kalman Filter
with a Singer maneuver model where the second order
statistics of acceleration is the same as a first
order Markov process. The Singer model assumes a
uniform probability distribution on the target s acceleration
which is independent of the x and y direction.
In practice, it is expected that targets have constant
forward speed and an acceleration vector normal to
the velocity vector, a condition not present in the
Singer model. This paper extends the work of Singer
by presenting a maneuver model which assumes constant
forward speed and a probability distribution on
the targets turn-rate-Tactically maneuvering targets are difficult
to track since acceleration cannot be observed
directly and the accelerations are induced by human
control or an autonomous guidance system therefore
they are not subject to deterministic models. A common
tracking system is the two-state Kalman Filter
with a Singer maneuver model where the second order
statistics of acceleration is the same as a first
order Markov process. The Singer model assumes a
uniform probability distribution on the target s acceleration
which is independent of the x and y direction.
In practice, it is expected that targets have constant
forward speed and an acceleration vector normal to
the velocity vector, a condition not present in the
Singer model. This paper extends the work of Singer
by presenting a maneuver model which assumes constant
forward speed and a probability distribution on
the targets turn-rate Platform: |
Size: 265216 |
Author:jorgehas |
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Description: 对比了基于二阶和高阶统计量的DOA 估计算法性能，仿真结果表明，基于高阶统计量的DOA 估计算法具有更好的性能-Compare the performance of DOA estimation algorithm based on second-order and higher-order statistics, simulation results show better performance DOA estimation algorithm based on higher order statistics Platform: |
Size: 620544 |
Author:拉拉 |
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Description: 使用matlab实现了计算信号的高阶谱及高阶统计量，使用简便，高效，并给出相关应用，实现了二次谐波信号的检测。-And higher-order statistics to achieve a high-end computing spectrum use matlab signal, easy to use, efficient, and give relevant applications, to achieve the detection of the second harmonic signal. Platform: |
Size: 3072 |
Author:zhangwanli |
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Description: 二阶prony方法谱估计方法仿真，四阶prony方法谱估计，白噪声，彩色噪声，四阶统计量，并用GUI设计了一个界面，毕业设计-Prony second-order spectrum estimation method, fourth order prony spectral estimation method, white noise, colored noise, fourth-order statistics, and GUI design with an interface that is my graduation design! ! ! To the paper also can contact me. . . . Platform: |
Size: 47104 |
Author:Sss |
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Search - second order statistics