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FINAL0
lms and linear convolution
- 2010-12-08 18:29:41下载
- 积分：1
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wavelet
用C语言实现matlab中dwt的功能，一层(Using C language dwt functions in matlab, a layer of)
- 2009-06-26 12:00:32下载
- 积分：1
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matlab_pso
说明： 一个实用的基于matlab的pso源代码(a practical Matlab-based source of PSO)
- 2006-03-22 13:04:47下载
- 积分：1
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AODV_2
基于地理位置的距离贪心路由协议GPSR的matlab仿真代码(Matlab simulation code based on geographical distance greedy routing protocol GPSR)
- 2012-09-04 10:49:11下载
- 积分：1
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GA
说明： 应用于基因算法来调整最佳的PID控制器,程序结果含系统响应与收敛(Genetic algorithm is applied to adjust the optimal PID controller, the program results including system response and convergence)
- 2014-12-23 14:42:01下载
- 积分：1
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ask
amplitude sjift keyingg
- 2013-12-03 20:32:58下载
- 积分：1
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piecewise_linear_fitting
对两组离散数据进行分段线性拟合,并显示拟合结果(piecewise linear fitting of two sets of discrete data)
- 2010-07-06 17:03:03下载
- 积分：1
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getPDF1
In this paper, we investigate the timing and carrier
frequency offset (CFO) synchronization problem in decode and
forward cooperative systems operating over frequency selective
channels. A training sequence which consists of one orthogonal
frequency-division multiplexing (OFDM) block having a tile
structure in the frequency domain is proposed to perform synchronization.
Timing offsets are estimated using correlation-type
algorithms. By inserting some null subcarriers in the proposed tile
structure, we propose a computationally efficient subspace decomposition-
based algorithm for CFO estimation. The issue of optimal
tile length is studied both theoretically and through simulations.
By judiciously designing the tile size of the pilot, the proposed
algorithms are shown to have better performance, in terms of
synchronization errors and bit error rate, than the time-division
multiplexing-based training method and the computationally demanding
space-alternating generalized expectation-maximization
- 2010-08-11 18:19:11下载
- 积分：1
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mandelbrot
This guide can draw a mandelbrot figure. In default values it calculates Z=Z^2+C for 20 iterations, where Z initally equal to zero and C has the values of every pixel created by meshgrid function(built-in).
although mandelbrot equation is Z=Z^2+C you can change the degree of the equation between 1 - 50.
higher number in iteration, points in axes gives better results in image besides more resulting time.
to zoom an area of the figure you must aproximately choose the point and then change the center values to this point values then push Show Graph button. because of this is the first version there can be any lack of usage.
(This guide can draw a mandelbrot figure. In default values it calculates Z=Z^2+C for 20 iterations, where Z initally equal to zero and C has the values of every pixel created by meshgrid function(built-in).
although mandelbrot equation is Z=Z^2+C you can change the degree of the equation between 1- 50.
higher number in iteration, points in axes gives better results in image besides more resulting time.
to zoom an area of the figure you must aproximately choose the point and then change the center values to this point values then push Show Graph button. because of this is the first version there can be any lack of usage.
)
- 2010-02-17 07:21:59下载
- 积分：1
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SVMRFE
用于特征排序 特征提取前的预处理 对于m*n列的数据进行特征排序 模式识别中的特征提取或者模式分类中的预处理 (Sort feature for feature extraction pre-treatment before the column for the m* n order to characterize the data in the application of pattern recognition)
- 2011-10-25 17:23:16下载
- 积分：1
