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Description: * 本算法用最小二乘法依据指定的M个基函数及N个已知数据进行曲线拟和
* 输入: m--已知数据点的个数M
* f--M维基函数向量
* n--已知数据点的个数N-1
* x--已知数据点第一坐标的N维列向量
* y--已知数据点第二坐标的N维列向量
* a--无用
* 输出: 函数返回值为曲线拟和的均方误差
* a为用基函数进行曲线拟和的系数,
* 即a[0]f[0]+a[1]f[1]+...+a[M]f[M].
-* The algorithm using the least-squares method based on the designated function of M and N-known curve data to be imported and * : m -- the known number of data points M * f -- From M * n vector function -- known data points the number N-1 * x -- known data points of the first N-dimensional coordinates listed Vector * y -- known data points of the second N-dimensional coordinates shown in a vector * - - useless * Output : function return value to the curve-fitting and the mean square error * for the use of a base function and the curve fitting coefficients, * is a f [0] [0] a [1] f [a] ... a [M] f [M].
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Size: 3066 |
Author: xuyan |
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Description: snakes are a variational technique to find the best contour that aligns with an image. The basic routine, snake.m, aligns a sequence of points along a contour to the maximum of an array or image. Provide it with an image, a set of starting points, limits on the search space and it returns a new set of points that better align with the image.
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Size: 2713 |
Author: atlas |
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Description: The m-file is a demonstration script. Using your own array of image data, or a built-in default, a demo window is displayed where you can click to indicate points and see the snake program in action.
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Size: 5572 |
Author: atlas |
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Description: snakes are a variational technique to find the best contour that aligns with an image. The basic routine, snake.m, aligns a sequence of points along a contour to the maximum of an array or image. Provide it with an image, a set of starting points, limits on the search space and it returns a new set of points that better align with the image.
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Size: 2048 |
Author: atlas |
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Description: The m-file is a demonstration script. Using your own array of image data, or a built-in default, a demo window is displayed where you can click to indicate points and see the snake program in action.
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Size: 5120 |
Author: atlas |
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Description: matlab6矩阵微分工具 -matlab6 matrix differential tools matlab6 differential matrix-matrix tools matlab6 tools matlab6 points differential matrix tools
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Size: 543744 |
Author: 刘志刚 |
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Description: The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussians. The numbers next to the Gaussians give the relative importance (amplitude) of each component.-The EM algorithm is short for Expectation- Maximization algorithm. It is based on an ITERA tive optimization of the centers and widths of t he kernels. The aim is to optimize the likelihoo d that the given data points are generated by a mi xture of Gaussians. The numbers next to the Gaus sians give the relative importance (amplitude ) of each component.
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Size: 15360 |
Author: 陈伟 |
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Description: 求取系统的绝对幅度响应、相对的db值幅度响应、相位响应和群延时响应的函数
％
％db为相对振幅(dB)
％mag为绝对振幅
％pha为相位响应
％grd为群延时
％w为频率样本点向量
％b为Ha(z)分子多项式系数(对FIR而言，b=h)
％a为Hz(z)分母多项式系数(对FIR而言，a=1)
％-strike rate system in response to the absolute and relative value range db response phase and group delay response to the response function%% db relative amplitude (dB)% mag as the absolute amplitude% of MTS Phase Response% for the group delay grd% w frequency of sample points for the vector b Ha% (z) elements polynomial coefficient (F IR, b = h)% for a Hz (z) denominator polynomial coefficient (right FIR, a = 1)%
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Size: 1024 |
Author: 吴江华 |
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Description: * 本算法用最小二乘法依据指定的M个基函数及N个已知数据进行曲线拟和
* 输入: m--已知数据点的个数M
* f--M维基函数向量
* n--已知数据点的个数N-1
* x--已知数据点第一坐标的N维列向量
* y--已知数据点第二坐标的N维列向量
* a--无用
* 输出: 函数返回值为曲线拟和的均方误差
* a为用基函数进行曲线拟和的系数,
* 即a[0]f[0]+a[1]f[1]+...+a[M]f[M].
-* The algorithm using the least-squares method based on the designated function of M and N-known curve data to be imported and* : m-- the known number of data points M* f-- From M* n vector function-- known data points the number N-1* x-- known data points of the first N-dimensional coordinates listed Vector* y-- known data points of the second N-dimensional coordinates shown in a vector*-- useless* Output : function return value to the curve-fitting and the mean square error* for the use of a base function and the curve fitting coefficients,* is a f [0] [0] a [1] f [a] ... a [M] f [M].
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Size: 3072 |
Author: xuyan |
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Description: One-channel queuing system simulator (M/M/1)
* Arrival and service times are random and distributed exponetially.
*
* The simulator is time-slice-driven, i.e. the system model is being
* run at discrete time points, with constant increments deltaT.
* At each such time moment, program checks if a new item arrival or
* release has occurred during previus deltaT.-One-channel queuing system simulator (M/1)* Arrival and service times are random and d istributed exponetially.* The simulator is not ime-slice-driven. i.e. the system model is being run at discrete* t ime points, with constant increments deltaT.* At each such time moment, program checks if a new item arrival or release* has occurred during previus deltaT.
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Size: 4096 |
Author: feiteng |
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Description: 该程序实现自适应的复化simpson积分。
含有三个M文件：
main
naadapt
simpson
-The program realization of adaptive restoration of simpson points. M contains the three documents: mainnaadaptsimpson
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Size: 1024 |
Author: leiming691128 |
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Description: Matlab中没有现成的Hermite插值函数，必须编写一个M文件实现插值。
设n个节点的数据以数组x0 （已知点的横坐标）， y0（函数值）， y1（导数值）输入（注意Matlat的数组下标从1开始）， m个插值点以数组x 输入，输出数组y 为m 个插值。编写一个名为hermite.m的M文件。
-Matlab is not off-the-shelf Hermite interpolation function, we must realize the preparation of a document M interpolation. N nodes for the data to an array x0 (known point of abscissa), y0 (function value), y1 (numerical derivative) input (note the subscript Matlat array starting at 1), m to the array of interpolation points x input and output array y for m months interpolation. Hermite.m the preparation of a M-file.
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Size: 1024 |
Author: 贺鼎宏 |
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Description: Matlab中没有现成的Lagrange插值函数，必须编写一个M文件实现Lagrange插值。
设n个节点数据以数组x0,y0 输入（注意Matlat的数组下标从1开始），m 个插值点以数组 x输入，输出数组y 为 m个插值。
编写一个名为lagrange.m的M文件。-Matlab is not off-the-shelf Lagrange interpolation function, we must realize the preparation of an M file Lagrange interpolation. N nodes based data to an array of x0, y0 input (Note Matlat subscript of the array starting at 1), m a x interpolation points to the array input and output array y for m months interpolation. Lagrange.m the preparation of a M-file.
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Size: 1024 |
Author: 贺鼎宏 |
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Description: Matlab做的关于三角波，正弦波，方波的FFT算法，可以分析方波信号、三角波信号的频谱以及采样点数、采样频率对频谱分辨率的影响。-Matlab to do on the triangle wave, sine wave, square wave of the FFT algorithm, can be analyzed square-wave signal, triangular wave signal of the spectrum as well as the sampling points, the sampling frequency affect the resolution of the spectrum.
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Size: 1024 |
Author: venppen |
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Description: 这是我用Delphi和Matlab写的一个程序，可以生成立体图像（3DS Max 脚本）、将平面图像立体化、基本矩阵计算、极线校正。作者保留所有权利。请勿用于商业用途。欢迎大家对它进行完善。-This is what I use Delphi and a program written in Matlab, can generate three-dimensional images (3DS Max script), will be three-dimensional planar images, the basic matrix calculation, epipolar rectification. Author All rights reserved. Do not for commercial purposes. Welcome to perfect it.
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Size: 972800 |
Author: 刘然 |
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Description: Type Classification Code:
main.m (program control)
discretize.m (converts image to discrete values)
plotimg.m (plots images)
dirImg.m (computes the directional image)
extract.m (extracts square portion of image - called by dirImg)
slitSum.m (computes the slit sum direction - called by dirImg)
tileImg.m (tiles the image and computes new directions)
averImg.m (smoothes the image)
angleImg.m (computes the angles from the vector representation)
Poincare.m (computes the core-delta points)
temp.m (extracts the core-delta points and locations)
Correlation Code:
proj.m (program control)
plotimg.m (plots images)
discretize.m (converts image to discrete values)
normalize.m (normalizes images)
corrfft.m (computes the correlation)
--------------------------------------------------------------------------------
-Type Classification Code: main.m (program control) discretize.m (converts image to discrete values) plotimg.m (plots images) dirImg.m (computes the directional image) extract.m (extracts square portion of image- called by dirImg ) slitSum.m (computes the slit sum direction- called by dirImg) tileImg.m (tiles the image and computes new directions) averImg.m (smoothes the image) angleImg.m (computes the angles from the vector representation) Poincare.m (computes the core-delta points) temp.m (extracts the core-delta points and locations) Correlation Code: proj.m (program control) plotimg.m (plots images) discretize.m (converts image to discrete values) normalize. m (normalizes images) corrfft.m (computes the correlation )--------------------------------------------------------------------------------
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Size: 6144 |
Author: 小熊 |
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Description: Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束.-Mean Shift the concept was first used by Fukunaga et al [1] in 1975 in an article on the probability density function estimation of gradient raised its original meaning, as its name implies, is the offset of the mean vector, where is the Mean Shift a noun, it refers to a vector, but with the Mean Shift the development of the theory, Mean Shift the meaning has changed, if we say that Mean Shift algorithm, generally refers to an iterative steps, namely, first calculate the current point Mean offset, move the shift points to its average, and then as a new starting point and continue to move until the end to meet certain conditions.
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Size: 5120 |
Author: maolei |
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Description: OFDM仿真利用MATLAB。M语言编写。很适合新手。连赚点积分。-OFDM simulation using MATLAB. M language. Very fit novice. Even earn points.
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Size: 112640 |
Author: zx |
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Description: 薄板样条，一种很好的拟合曲线的方法。是最近比较常用的拟合方法。-thin plate spline is so nice fitting method.
Features:
(1) support arbitrary control points
(2) allow regularization
(3) estimate the warp parameters from corresponding pairs
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Size: 2048 |
Author: wangwei |
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Description:
Function saveFigures
inputs: fighandle Handle of the figure to save
path Path under which the figure is to be saved
name File name under which the figure is to be saved
optionals: width [cm] default 13
height [cm] default 9
fontsize [points] default 12
orientation default portrait-
Function saveFigures
inputs: fighandle Handle of the figure to save
path Path under which the figure is to be saved
name File name under which the figure is to be saved
optionals: width [cm] default 13
height [cm] default 9
fontsize [points] default 12
orientation default portrait
Platform: |
Size: 1024 |
Author: Pablo |
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