Description: ofdm信道特性
Channel transmission simulator
Channel transmission simulator
％
％ inputs:
％ sig2 - noise variance
％ Mt - number of Tx antennas
％ Mr - number of Rx antennas
％ x - vector of complex input symbols (for MIMO, this is a matrix, where each column
％ is the value of the antenna outputs at a single time instance)
％ H - frequency selective channel - represented in block-Toeplitz form for MIMO transmission
％ N - number of symbols transmitted in OFDM frame
％
％ outputs:
％ y - vector of channel outputs (matrix for MIMO again, just like x matrix)
％ create noise vector sequence (each row is a different antenna, each column is a
％ different time index) note: noise is spatially and temporally white Platform: |
Size: 812 |
Author:sunxu |
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Description: ofdm信道特性
Channel transmission simulator
Channel transmission simulator
％
％ inputs:
％ sig2 - noise variance
％ Mt - number of Tx antennas
％ Mr - number of Rx antennas
％ x - vector of complex input symbols (for MIMO, this is a matrix, where each column
％ is the value of the antenna outputs at a single time instance)
％ H - frequency selective channel - represented in block-Toeplitz form for MIMO transmission
％ N - number of symbols transmitted in OFDM frame
％
％ outputs:
％ y - vector of channel outputs (matrix for MIMO again, just like x matrix)
％ create noise vector sequence (each row is a different antenna, each column is a
％ different time index) note: noise is spatially and temporally white-channel characteristics of OFDM Channel transmission simulatorChannel transmission simulator inputs: sig2- noise variance Mt- number of Tx antennas Mr- number of Rx antennas x- vector of complex input symbols (for MIMO, this is a matrix, where each column is the value of the antenna outputs at a single time instance) H- frequency selective channel- represented in block-Toeplitz form for MIMO transmission N- number of symbols transmitted in OFDM frame outputs: y- vector of channel outputs (matrix for MIMO again, just like x matrix) create noise vector sequence (each row is a different antenna, each column is a different time index) note: noise is spatially and temporally white Platform: |
Size: 1024 |
Author:sunxu |
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Description: 个人总结的一些科学运算时所经常用到的一些算法。有复数的各种运算，矩阵和向量的各种预算，还有一些matlab函数转化成C++后的代码。-Personal summary of some of the scientific computing when a number of frequently used algorithms. There are a variety of complex computing, matrix and vector of a variety of budgets, there are still some matlab functions into C++ After the code. Platform: |
Size: 4096 |
Author:李鑫 |
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Description: C源码之复数运算和矩阵运算：内含复数的表示，复数的所有运算（包括求共轭，解析函数等）。矩阵的创建，加减运算，矩阵和向量乘法，矩阵和矩阵乘法，矩阵求逆，求矩阵特征值和特征向量；
现在大量科学计算要求在C编程中使用复数或者矩阵，希望能给你带来帮助~
-C-source computing, and the complex matrix calculation: that includes plural, the plural of all operations (including seeking conjugate, analytic functions, etc.). Matrix creation, addition and subtraction calculations, matrix and vector multiplication, matrix and matrix multiplication, matrix inversion, and matrix eigenvalue and eigenvectors now a large number of scientific computing requires the use of C programming or complex matrix, hope that they will be with you to help ~ Platform: |
Size: 22528 |
Author:shiping |
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Description: 显示一个经验概率密度函数在输入数组中的密度分布直方图X的使用nbins箱的数目（默认pdfplot套nbins至20）。如果输入X是一个矩阵，然后pdfplot（X）的分析它的载体，并显示所有值的PDF格式。对于复杂的输入X，pdfplot（X）的显示PDF格式的-displays a histogram of the empirical probability density function (PDF)
for the data in the input array X using nbins number of bins
(by default pdfplot sets nbins to 20).
If input X is a matrix, then pdfplot(X) parses it to the vector and
displays PDF of all values.
For complex input X, pdfplot(X) displays PDF of abs(X).
Platform: |
Size: 1024 |
Author:dbb |
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Description: ：通过对梯度矢量流(GVF)力场迭代和轮廓收敛过程中时间开销大、不能逼近较复杂轮
廓等不足之处的分析，提出了一种新的初始轮廓线的设置方法。基于小波变换的多尺度轮廓检测算
法，能够较精确地定位出各类轮廓，在此基础上设置的初始轮廓线能够非常好地靠近图像中的各种真
实轮廓。实验结果表明，此方法有效地缩小了搜索的范围，减少了GVF迭代次数，提高了轮廓收敛的
速度，并保留了GVF Snake模型的所有优点。-: The gradient vector flow (GVF) field iterative convergence process and outline the time cost, could not approach the more complex contours of such deficiencies, a new method of setting the initial contour. Wavelet-based multi-scale contour detection algorithm can accurately locate the various types of contours, on the basis set to a very good initial contour close to the image in a variety of real contours. Experimental results show that this method effectively reduces the search and reduce the number of iterations of the GVF to improve the convergence speed profile, and retained all the advantages of GVF Snake model. Platform: |
Size: 248832 |
Author:fuky |
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Description: function Px=overlay(N,omega,A,sigma,num)
OVERLAY Forms multiple power spectral density estimates.
--- -
USAGE Px=overlay(N,omega,A,sigma,num)
Calculates the periodogram using an ensemble of realizations
of a process consisting of a sum of complex exponential in
white noise.
N : length of the signal
omega : vector containing the sinusoid frequencies
A : vector containing the sinusoid frequencies
sigma : the variance of the white noise
num : size of the ensemble (number of periodograms)-function Px=overlay(N,omega,A,sigma,num)
OVERLAY Forms multiple power spectral density estimates.
-------
USAGE Px=overlay(N,omega,A,sigma,num)
Calculates the periodogram using an ensemble of realizations
of a process consisting of a sum of complex exponential in
white noise.
N : length of the signal
omega : vector containing the sinusoid frequencies
A : vector containing the sinusoid frequencies
sigma : the variance of the white noise
num : size of the ensemble (number of periodograms) Platform: |
Size: 1024 |
Author:Rosario |
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Description: 等间距线性阵列，阵元数M=8，阵元间距d= λ /2，等幅加权，目标方位φr =0°。产生空间白噪声矢量（复高斯分布）。
设阵列信号矢量元素s(m)=exp[j mψr]，其信号幅度为1，该阵元接收机附加的高斯噪声为n(m)=nmr+jnmi，其中实虚部均为独立同分布N(0, σ2)的高斯随机数，则该通道合成信号x(m)=s(m) + n(m)，其中信噪比为：
SNR = 10 lg[1/(2σ2)] = – 3 – 10 lg(σ2) (dB)
-The spacing of the linear array, and the array element number M = 8, the array element spacing d = λ/2, equal amplitude weighted target azimuth φR = 0. Space generated white noise vector (complex Gaussian distribution). Let array signal vector elements s (m) = exp [j mψr], the signal amplitude, the element receiver additional Gaussian noise n (m) = nmr+jnmi which the real and imaginary parts are independent and identically distributed N ( Gaussian random numbers of 0, σ2), the channel the synthesis signal x (m) = s (m) the PPLS n (m), where SNR is: SNR = 10 lg [1/(2σ2)] =- 3- 10 lg (σ2) (dB) Platform: |
Size: 5120 |
Author:张 |
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Description: Here, for convenience, the vector in 2D is represented by a complex number: the real
part represents the x-component and the imaginary part represents the y-component. How to get the
Fourier transform is the key of this program. Here I used the analytical form for the circular cylinder
and used the shift property to get the Fourier transform for more complicated system consisting of
finite number of individual atoms. Platform: |
Size: 1024 |
Author:steven |
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Description: 稀疏矩阵的DIA/ELLPACK/COO/CSR/HYB表示形式，以及各表示形式下的稀疏矩阵乘法（稀疏大矩阵*矢量）的CUDA实现。对于矩阵中每一行稀疏元素个数较统一的情况，ELLPACK表示最佳，其次是HYB（ELL+COO）。
CUDA™ 是一种由NVIDIA推出的通用并行计算架构，该架构使GPU能够解决复杂的计算问题。 它包含了CUDA指令集架构（ISA）以及GPU内部的并行计算引擎。 开发人员现在可以使用C语言来为CUDA™ 架构编写程序-Sparse matrix DIA/ELLPACK/COO/CSR/HYB representation, as well as the representation of the sparse matrix multiplication (large sparse matrix* vector)' s CUDA implementation. For each row of the sparse matrix representing the number of elements the case of unification, ELLPACK that the best, followed by HYB (ELL+COO). NVIDIA CUDA ™ is introduced by a general purpose parallel computing architecture that makes the GPU to solve complex computational problems. It contains the CUDA Instruction Set Architecture (ISA) and the GPU parallel computing engine. Developers can now use the C language to write programs for the CUDA ™ architecture Platform: |
Size: 3282944 |
Author:lipeng |
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Description: 层次分析（AHP）/网络分析（ANP)Analytic Hierarchy Process是一种十分实用的决策方法。
是对一些较为复杂、较为模糊的问题作出决策的简易方法，它特别适用于那些难于完全定量分析的问题
num:包括目标层和方案层的总层数
g:行向量（各层准则数量，包括目标层（第一层）和方案层（最后一层））。
w：返回值w是最后决策的方案层的权重，根据输出选择最佳方案
在输入矩阵时请加‘[]’号，否则会出现语法错误。
调运方式：w=hierarchy(num,g)- Analytical Hierarchy (AHP)/Network Analysis (ANP) Analytic Hierarchy Process is a very practical approach to decision making. Is the easy way of making some of the more complex, more ambiguous issues make it particularly difficult for those who complete quantitative analysis of the problem num: The total number of layers including the target layer and the solution layer g: row vector (layers Guidelines number, including the target layer (first layer) and program level (the last level)). W: w The return value is the right solution layer of the final decision of the heavy, choose the best option based on the output when the input matrix please add ' []' No, there would be a syntax error. Transporting way: w = hierarchy (num, g) Platform: |
Size: 1024 |
Author:何亮 |
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Description: NEWTONPF Solves the power flow using a full Newton s method.[V, CONVERGED, I] = NEWTONPF(YBUS, SBUS, V0, REF, PV, PQ, MPOPT) solves for bus voltages given the full system admittance matrix (forall buses), the complex bus power injection vector (for all buses), the initial vector of complex bus voltages, and column vectors with the lists of bus indices for the swing bus, PV buses, and PQ buses, respectively. The bus voltage vector contains the set point for generator (including ref bus) buses, and the reference angle of the swing bus, as well as an initial guess for remaining magnitudes and angles. MPOPT is a MATPOWER options vector which can be used to set the termination tolerance, maximum number of iterations, and output options (see MPOPTION for details). Uses default options if this parameter is not given. Returns the final complex voltages, a flag which indicates whether it converged or not, and the number of iterations performed.-NEWTONPF Solves the power flow using a full Newton s method.[V, CONVERGED, I] = NEWTONPF(YBUS, SBUS, V0, REF, PV, PQ, MPOPT) solves for bus voltages given the full system admittance matrix (forall buses), the complex bus power injection vector (for all buses), the initial vector of complex bus voltages, and column vectors with the lists of bus indices for the swing bus, PV buses, and PQ buses, respectively. The bus voltage vector contains the set point for generator (including ref bus) buses, and the reference angle of the swing bus, as well as an initial guess for remaining magnitudes and angles. MPOPT is a MATPOWER options vector which can be used to set the termination tolerance, maximum number of iterations, and output options (see MPOPTION for details). Uses default options if this parameter is not given. Returns the final complex voltages, a flag which indicates whether it converged or not, and the number of iterations performed. Platform: |
Size: 2048 |
Author:ali |
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Description: 四元数是由1个实数、3个虚数构成的，其是4维空间的矢量，是最简单的超复数，能够解决万向节死锁(Gimbal Lock)的问题，但是四元数的乘法是不可逆的。-The number is four yuan by 1 real and 3 imaginary form, which is a vector in 4 dimensional space, is the most simple super complex, can solve the gimbal lock (Gimbal Lock) of four yuan, but the number of multiplication is irreversible. Platform: |
Size: 3974144 |
Author:凌云志 |
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Search - vector of complex number