Description: Principal Component Analysis
• Uses:
– Data Visualization
– Data Reduction
– Data Classification
– Trend Analysis
– Factor Analysis
– Noise Reduction
• Examples:
– How many unique “sub-sets” are in
the sample?
– How are they similar / different?
– What are the underlying factors that
influence the samples?
– Which time / temporal trends are
(anti)correlated?
– Which measurements are needed to
differentiate?
– How to best present what is
“interesting”?
– Which “sub-set” does this new sample
rightfully belong?-Principal Component Analysis
• Uses:
– Data Visualization
– Data Reduction
– Data Classification
– Trend Analysis
– Factor Analysis
– Noise Reduction
• Examples:
– How many unique “sub-sets” are in
the sample?
– How are they similar/different?
– What are the underlying factors that
influence the samples?
– Which time/temporal trends are
(anti)correlated?
– Which measurements are needed to
differentiate?
– How to best present what is
“interesting”?
– Which “sub-set” does this new sample
rightfully belong? Platform: |
Size: 140288 |
Author:Tatyana |
Hits:
Description: 用于估计谐振状态问题，比较Schmidt卡尔曼和标准卡尔曼滤波-Compares Schmidt-Kalman filter vs Kalman filter on problem of
estimating the state of a damped harmonic resonator excited
by white noise, and using measurements of resonator dispalcement
corrupted by white noise plus exponentially correlated noise. Platform: |
Size: 2048 |
Author:杨少东 |
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Description: the folder contains five scripts.m for direction of arrival estimation
1. DOA in 2D plane with PM Correlated sources underunknown Toelpitz noise
2. DOA in 2D plane with esprit code
3. DOA in 1D plane with esprit code
4. DOA in 2D plane with conjugate ESPRIT
5. DOA in 1D plane with conjugate ESPRIT Platform: |
Size: 6144 |
Author:ahla |
Hits:
Description: Smooth-Music ，Direction of Arrival Estimation
In a communication situation, assuming flat fading,there may be multipath components from many directions. These components would be correlated with each other. Correlated components reduce the rank of the signal correlation matrix Rs, resulting in more than (N − M) noise eigenvalues.
-Smooth-Music ，Direction of Arrival Estimation
In a communication situation, assuming flat fading,there may be multipath components from many directions. These components would be correlated with each other. Correlated components reduce the rank of the signal correlation matrix Rs, resulting in more than (N − M) noise eigenvalues.
Platform: |
Size: 1024 |
Author:wuhuating |
Hits:
Description: 话务分析软件，多时段统计，方便快捷，便于分析统计- This Program is Designed To Simulate The Smart Antenna System On A BTS Receiver ( Uplink )
General Constraints For Using This Software
Antenna Array Of Four Elements Operating On 2 GHz With A Separation Distance 0.075 Meters
Narrowband ( Uncorrelated Or Partially Correlated ) Signals Are Assumed
An Authentication Code Of 10 Bits Is Sent First
Two Users Are Served Only In The Presence Of Additive White Gaussian Noise Only Platform: |
Size: 1024 |
Author:betty |
Hits:
Description: function Colored(flag, corr)
Kalman filter simulation with colored (time correlated) measurement noise.
INPUTS:
flag = 0 means ignore the time correlation of the measurement noise
1 means augment the system state
2 means use the Bryson/Henrikson approach
corr = magnitude of measurement noise correlation <= 1-function Colored(flag, corr)
Kalman filter simulation with colored (time correlated) measurement noise.
INPUTS:
flag = 0 means ignore the time correlation of the measurement noise
1 means augment the system state
2 means use the Bryson/Henrikson approach
corr = magnitude of measurement noise correlation <= 1 Platform: |
Size: 39936 |
Author:ck |
Hits:
Description: 一个仿真了色噪声的程序源码（文档格式）。色噪声与高斯白噪声不同，有更好的实际意义-The function essentially simulates the colored noise which essentially is a correlated process and unlike the white noise does not have flat PSD. Although white noise is a realistic process color noise seems more practical and hence it requires correct modeling and simulation. Platform: |
Size: 1024 |
Author:小一 |
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Description: 多输入多输出(MIMO)通信系统相比其他的通信系统具有更高的频谱效率，在不增加发射功率以及信号带宽的
情况下，MIMO 技术可以有效地提高系统信道容量及其性能。利用均匀角能量分布以及相关矩阵，分析了相关信道下的MIMO
系统信道容量，得出了系统信道容量的通用公式，并利用MATLAB 进行仿真。仿真结果表明，相关性的增加意味着信噪比的减
小，圆形接收天线阵列半径与角度扩展是决定MIMO 系统信道容量的主要因素。-Multiple-input multiple output (MIMO) communication architecture, as compared with conventional
techniques, has even higher spectral efficiency, and MIMO technique could greatly improve channel capacity and
performance of the system without any increase of transmitting power and bandwidth. By uniform angular distribution
and the correlation matrix, the MIMO channel capacity in correlated channel is investigated. Numerical simulation
is performed with MATLAB, thus to verify the proposed formula. Simulation result indicates that, for this model,
the increase of correlation means the reduction of signal-to-noise ratio (SNR), and the circular receive antenna
array radius or angle spread is the dominating factor for channel capacity. Platform: |
Size: 805888 |
Author:蜡笔 |
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Description: 图像相关算法的示例，网上转的，如果有问题请留言交流。英文说明很详细。-This function generates images with spatially correlated pixels.
It regards an image as a discerete random field where each pixel is a
random variable. The pixels can be correlated or completely independent,white noise field. Platform: |
Size: 2048 |
Author:king |
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Description: This paper analyses impact of using averaging filtering on quality of SAR images. These are commonly corrupted by
multiplicative complex correlated noise (speckle) and by additive white Gaussian noise. Methods presented in this
paper: multilook algorithm and averaging filters are examined in the context of additive white Gaussian noise reduction
and computational demands. In order to obtain high cross-range resolution of SAR images Map-Drift Autofocus
algorithm is also employed Platform: |
Size: 698368 |
Author:yas |
Hits:
Description: 提出了具有一般相关量测噪声的线性系统的平滑估计算法, 该算法是在系统正向和逆向滤
波估计结果的基础上,利用线性无偏最小方差估计获得的.由于量测噪声的相关性,使得其后验均
值不一定等于其先验均值,而它的后验均值又无法通过计算得到, 因而提出的算法是一个次优算
法.在正、 逆向滤波结果已知时,所提出的算法计算量小,易于实现.仿真实例说明,该算法的估计结
果要优于正、 逆向滤波估计结果,以及量测噪声不相关的Kalman 平滑估计结果-Based on the forw ard and backw ard f i ltering est imates a smoothing algorithm is developed
for linear systems w i th general correlated measurement noises by using the l inear unbiased minimum
v ariance est imation formula. Because of the correlat ion of the measurment noises the posterior mean of
the noise is not alw ays equal to its prior one and can t be calculated. Hence, the proposed algorithm is
subopt imal . When the forward and backward f il tering result s are know n, the proposed algorithm has
low computional complex ity and can be real ized easi ly. T hrough a simulat ion example i t is indicated
that the result of the proposed smoothing algorithm is bet ter than that of the forward, backward filter
ing or Kalman smoothing algorithm, where the measurement noises are assumed to be uncorrelated Platform: |
Size: 359424 |
Author:张成宝 |
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Description: tgrr yggg ggg yttt
Space time block coding (STBC) and beamforming
techniques are two emerging technologies that can be
employed at base station with multiple antenna to provide
transmit diversity and beamforming gain to increase signal-to-
noise ratio (SNR) of the downlink. STBC utilizes a diversity
antenna system where the antenna spacing is usually required
to be large enough, say 10 times wavelength of the carrier for
a uniform linear array (ULA) in small angular spread
environments, to obtain low-correlation/independent fading
channels. While the beamforming antenna needs to achieve
spatial directivity and the signals received at and/or
transmitted from all antennas must be correlated or coherent.
So the antenna spacing should usually be very small, e.g. half
wavelength for ULA.
-tgrr ygggggggggggg ytttttt
Space time block coding (STBC) and beamforming
techniques are two emerging technologies that can be
employed at base station with multiple antenna to provide
transmit diversity and beamforming gain to increase signal-to-
noise ratio (SNR) of the downlink. STBC utilizes a diversity
antenna system where the antenna spacing is usually required
to be large enough, say 10 times wavelength of the carrier for
a uniform linear array (ULA) in small angular spread
environments, to obtain low-correlation/independent fading
channels. While the beamforming antenna needs to achieve
spatial directivity and the signals received at and/or
transmitted from all antennas must be correlated or coherent.
So the antenna spacing should usually be very small, e.g. half
wavelength for ULA.
Platform: |
Size: 1024 |
Author:rashi |
Hits:
Description: Space time block coding (STBC) and beamforming
techniques are two emerging technologies that can be
employed at base station with multiple antenna to provide
transmit diversity and beamforming gain to increase signal-to-
noise ratio (SNR) of the downlink. STBC utilizes a diversity
antenna system where the antenna spacing is usually required
to be large enough, say 10 times wavelength of the carrier for
a uniform linear array (ULA) in small angular spread
environments, to obtain low-correlation/independent fading
channels. While the beamforming antenna needs to achieve
spatial directivity and the signals received at and/or
transmitted from all antennas must be correlated or coherent.
So the antenna spacing should usually be very small, e.g. half
wavelength for ULA.
Platform: |
Size: 3387392 |
Author:rashi |
Hits:
Description: Space time block coding (STBC) and beamforming
techniques are two emerging technologies that can be
employed at base station with multiple antenna to provide
transmit diversity and beamforming gain to increase signal-to-
noise ratio (SNR) of the downlink. STBC utilizes a diversity
antenna system where the antenna spacing is usually required
to be large enough, say 10 times wavelength of the carrier for
a uniform linear array (ULA) in small angular spread
environments, to obtain low-correlation/independent fading
channels. While the beamforming antenna needs to achieve
spatial directivity and the signals received at and/or
transmitted from all antennas must be correlated or coherent.
So the antenna spacing should usually be very small, e.g. half
wavelength for ULA.
Platform: |
Size: 3018752 |
Author:rashi |
Hits:
Description: comfac算法是三线性模型常见的数据检测方法。它首先将三线性数据通过tucker3模型压缩，然后通过最小二乘的方法不断更新数据，直到收敛，得到估计值- The algorithm works by first compressing the data using a Tucker3 models. Subsequently the
PARAFAC model is fitted to the compressed array, either initialized with DTLD (~ESPRIT) or
with PARAFAC-ALS. The solution is de-compressed to the original space, and a few safe-guard
PARAFAC-ALS steps are performed. Further optimization of this algorithm is possible, e.g.
if the data are very large, if the profiles are very correlated or if the noise is huge. This
、 has not been pursued here, in order to have a generally applicable algorithm Platform: |
Size: 8192 |
Author:crz |
Hits:
Search - correlated noise