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bssICA_toolbox
BSS demo file for testing
- 2009-11-20 00:35:23下载
- 积分：1
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master-and-be-Proficient-in-MATLAB
很好的matlab书籍，最好的是：书中的文本可以选择，对编程极为有利(Matlab good books, the best is: the text of the book to choose from, be extremely beneficial to the program)
- 2009-12-10 22:49:05下载
- 积分：1
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Report-Milad-Vahedi
In this project an adaptive beamforming technique is proposed based on directly minimizing the BER1. A particular approach that has shown real promise in achieving substantial capacity enhancements is the use of adaptive antenna arrays. A beamformer appropriately combines the signals received by the different elements of an antenna array to form a single output. Classically, this has been achieved by minimizing the mean square error (MSE) between the desired output and the actual array output. It is demonstrated that minimum BER (MBER) approach utilizes the antenna array elements more intelligently than the standard MMSE2 approach, since it directly optimizes the system’s BER performance rather than minimizing the MSE, where the latter strategy often turns out to be deficient.
- 2020-08-03 21:08:34下载
- 积分：1
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Viscous_flow_in_pipe
Viscous flow in a pipe
- 2020-11-08 10:29:48下载
- 积分：1
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Eye-diagram-of-received-signal-using-a-band-width
Band limited Eye diagram for 2-ary & 4-ary
- 2013-10-06 15:13:42下载
- 积分：1
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Scenario_UNGM_EKF_UKF
Comparison : UKF and EKF
UNGM system model
- 2010-06-05 13:22:50下载
- 积分：1
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combine2Images
This function will display 2 input images in a single output image, side
by side.
- 2010-02-09 07:52:23下载
- 积分：1
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LMI
解决由八个线性矩阵不等式所约束的最小化问题。(Solving the minimiztion problem which is bound to eight linear matrix inequalities .)
- 2010-05-28 21:51:51下载
- 积分：1
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LEACH_m
low energy adaptive clustering code in matlab for wireless sensor netwoks
- 2010-06-08 14:52:40下载
- 积分：1
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UnwellLineEquSet-matlab
病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示：
病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。
程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。
(Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)
- 2009-12-10 19:08:10下载
- 积分：1
