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ooptest
C++实现的FFT，详细，简单，内含多个测试类(using C++ implements fft，including serials class)
- 2013-12-12 23:22:05下载
- 积分：1
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PRproject_lda
说明： 线性判别分析（LDA，全称Fisher Linear Discriminant Analysis）算法的C#实现源码，根据stprtool box for matlab中的LDA.m编写。用到MathNet库做相关的矩阵运算，使用zedgraph控制绘图。有简单的测试数据。( C# source code of linear discriminant analysis (LDA, full name of the Fisher Linear Discriminant Analysis) algorithm , according to LDA.m of stprtool box for matlab . Use MathNet library to do matrix operations,and use zedgraph control for drawing. Thers has a simple test data.)
- 2010-04-20 09:59:35下载
- 积分：1
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bhattacharyya
compute Bhattacharyya distance between two Gaussian classes
- 2009-04-14 01:04:07下载
- 积分：1
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徐亦达machine-learning-notes-master
包含了悉尼科技大学徐亦达老师的课程课件，有贝叶斯理论、EM算法、卡尔曼滤波、HMM、粒子滤波、概率论相关知识等(The file includes knowledge about EM, HMM, particle filter, kalman filter and so on.)
- 2020-08-01 13:58:36下载
- 积分：1
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bianjiecengxiangsijie
求边界层方程的相似解法，使用四阶四级经典龙格库塔方法推进，适用于平板边界层，绕楔形体边界层流动等(Seeking boundary layer equations similar solution, using fourth-order Runge-Kutta method to promote four classic for boundary layer around the wedge boundary layer flow, etc.)
- 2015-02-07 22:36:41下载
- 积分：1
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e1
说明： 16点基4—FFT算法编程。输入16点的序列，采用基4-fft方法计算其快速傅里叶变换。(16 points-based 4-FFT algorithm for programming. Enter the 16-point sequence, with the base 4-fft method for calculating the fast Fourier transform.)
- 2010-11-19 18:21:25下载
- 积分：1
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nenkiu_v58
仿真效率很高的，小波包分析提取振动信号中的特征频率，实现用SDRAM运行nios，同时用SRAM保存摄像头数据。( High simulation efficiency, Wavelet packet analysis to extract vibration signal characteristic frequency, Implemented with SDRAM run nios, while saving camera data SRAM.)
- 2016-10-12 23:00:01下载
- 积分：1
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zheng
正入射的自由曲面透镜设计，计算获得透镜的二维坐标(The free-form surface lens is incident on the design, the two-dimensional coordinates of the lens calculated)
- 2021-04-13 18:58:56下载
- 积分：1
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error
有限元计算软件Nastran 运算出错时的所有错误列表，从标号1到22107.7。(FEM calculation error list of all software Nastran Error from grade 1 to 22,107.7.)
- 2013-12-03 23:55:42下载
- 积分：1
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KMEANS
This directory contains code implementing the K-means algorithm. Source code
may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS
program accepts input consisting of vectors and calculates the given
number of cluster centers using the K-means algorithm. Output is
directed to the screen.
Usage for KMEANS is:
KMEANS SOURCEFILE <enter>
The format of the source file is:
NPat - Number of patterns (int)
SizeVect - Size of vector (int)
NClust - Number of cluster centers(int)
vect[1,1] ... vect[1,SizeVect] - vector 1 (real)
vect[2,1] ... vect[2,SizeVect] - vector 2 (real)
. .
. .
. .
vect[NPat,1] ... vect[NClust,SizeVector] - vector N (real)
To compile:
ICC KMEANS.CPP <enter>
(This directory contains code implementing the K-means algorithm. Source code
may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS
program accepts input consisting of vectors and calculates the given
number of cluster centers using the K-means algorithm. Output is
directed to the screen.
Usage for KMEANS is:
KMEANS SOURCEFILE <enter>
The format of the source file is:
NPat - Number of patterns (int)
SizeVect - Size of vector (int)
NClust - Number of cluster centers(int)
vect[1,1] ... vect[1,SizeVect] - vector 1 (real)
vect[2,1] ... vect[2,SizeVect] - vector 2 (real)
. .
. .
. .
vect[NPat,1] ... vect[NClust,SizeVector]- vector N (real)
To compile:
ICC KMEANS.CPP <enter>
)
- 2013-01-05 23:11:23下载
- 积分：1
