-
fdtd3D
说明： 利用时域有限差分（FDTD）仿真三维（3D）电磁波的传播，吸收边界条件为完全匹配层（PML）。(The use of finite difference time domain (FDTD) simulation of three-dimensional (3D) electromagnetic wave transmission, absorbing boundary condition for the perfectly matched layer (PML).)
- 2009-08-23 04:33:15下载
- 积分：1
-
Bee-Algorithm
Bee colony optimization continuous
- 2013-01-22 15:07:26下载
- 积分：1
-
program
估计Hilbert矩阵的2条件数和矩阵的阶数的关系用Gauss消去，分别用Gauss消去，Jacobi迭代，Gauss-seidel迭代，SOR迭代和共轭梯度法求解，比较结果。(Discuss the 2 condition number of the matrix and the matrix order relations.Using different methods like Gauss，Jacobi，Gauss-seidel，SOR and GS)
- 2013-12-30 22:40:14下载
- 积分：1
-
水声信道仿真 channels
水声信道仿真，水声信道仿真水声信道仿真水声信道仿真(Underwater acoustic channel simulation, simulation of underwater acoustic channel underwater acoustic channel simulation of underwater acoustic channel simulation)
- 2021-04-06 11:39:02下载
- 积分：1
-
EllipseFitByTaubin
This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust.
It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse:
ax^2 + bxy + cy^2 + dx + ey + f = 0,
i.e. it returns the vector A=(a,b,c,d,e,f). To convert this vector to the geometric parameters (This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust.
It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse:
ax^2+ bxy+ cy^2+ dx+ ey+ f = 0,
i.e. it returns the vector A=(a,b,c,d,e,f). To convert this vector to the geometric parameters )
- 2009-10-19 20:29:44下载
- 积分：1
-
JPEG-DWT
JPEG compression using DWT in image processing
- 2012-06-28 18:58:29下载
- 积分：1
-
Laplace
传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这
一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT)
系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表
示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的
语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优
于传统的语音增强方法。(The spectral components of speech are usually assumed to be independent in traditional short-time
spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm
with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform
(DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral
components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed
model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech
presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show
that the developed method has better noise suppression performance and lower speech distortion compared to the
traditional speech enhancement method. )
- 2014-01-18 10:44:40下载
- 积分：1
-
chapter3
基于遗传算法的BP神经网络优化算法Matlab实现(Optimization algorithm based on genetic algorithm BP neural network)
- 2014-02-19 11:11:40下载
- 积分：1
-
Arnoldmatlab
二值图像的arnold置乱，二值图像为方阵，作用是打乱图像的相关性(Arnold scrambling of the binary image, binary image for the square, to disrupt the image correlation)
- 2012-05-25 21:48:16下载
- 积分：1
-
duocifangzhenxiamubiaoguijdeMSE
多次仿真时目标轨迹的MSE,可以得到多次仿真时所有采样点的误差平均值的多个数据(MSE of target trajectory when simulated many times)
- 2013-11-30 11:32:54下载
- 积分：1
