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ddd
在matlab环境下，变程实现了用全局直方图均衡化对图像做反差改善(In matlab environment, the change process to achieve the overall situation with the image histogram equalization contrast to do to improve)
- 2007-12-24 15:17:16下载
- 积分：1
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zhikuo
一个完整的直扩通信系统matlab实现，已编译通过(DSSS communication system complete matlab implementation, compiled by)
- 2010-09-26 11:12:24下载
- 积分：1
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FDTD
说明： 基于UPML吸收边界的三维FDTD数值模拟程序(3-D FDTD code with UPML)
- 2011-03-22 13:56:21下载
- 积分：1
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raymtf
使用matlab分析传统光学系统加入三次相位掩模板之后的光学传递函数分析(Analysis using conventional optical systems matlab cubic phase mask after adding optical transfer function analysis)
- 2013-08-28 16:57:44下载
- 积分：1
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1D_FDTD
一维等离子体FDTD的Matlab源代码，计算电磁学方向(One-dimensional plasma FDTD Matlab source code, computational electromagnetics direction)
- 2015-04-29 07:38:56下载
- 积分：1
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tdoa
说明： TDOA说明，五个麦克风阵列找到声源位置和方向(TDOA shows that five microphone arrays find the location and direction of the sound source)
- 2021-03-10 10:23:06下载
- 积分：1
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zhubujifen
把结构动力学中的数值计算用matlab编程，方便大家使用（主要有Houbolt法、Duhamel法、WilsonTheta法等几种）(The structural dynamics of the numerical calculation with matlab programming to facilitate the use of (mainly Houbolt method, Duhamel method, WilsonTheta several law))
- 2009-06-04 19:47:14下载
- 积分：1
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daopufenxi
说明： 倒谱分析 倒谱分析是指信号短时振幅谱的对数傅里叶反
变换。它具有可近似地分离并提取出频谱包络信息
和细微结构信息的特点(Cepstrum analysis cepstrum analysis is the signal amplitude spectrum on the number of short-time Fourier inverse transform. It has can be approximately isolated and extracted spectral envelope information and fine structural characteristics of information)
- 2010-04-30 15:34:05下载
- 积分：1
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gongetidufadshuzhixingzhi
共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)
- 2012-03-26 18:48:46下载
- 积分：1
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mcmadd
mcma vs dd blind equalization comparation
- 2009-11-12 20:54:31下载
- 积分：1
