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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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Author: 吴江华 |
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Description: 几种常见混沌时间序列matlab实现
1)chua flow
2)duffing flow
3)Rossler flow
4)Lorenz flow
5)ikeda flow
6)Mackey_Glass flow
7)logistic map
8)henon map
9)Quadratic map(二次图)
也欢迎大家提供更多的混沌方程或映射的经典matlab实现。
-several common chaotic time series to achieve a Matlab) chua flow 2) duffin 3 g flow) Rossler flow 4) Lorenz flow 5) ikeda ss w 6) 7 Mackey_Glass flow) Logistic map 8) henon m ap 9) Quadratic map (Second) of welcome we provide more chaotic or mapping equations by the Code Implementation of Matlab.
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Size: 21504 |
Author: 呆雁 |
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Description: This a set of simple implementations for aligning scans of range-bearing laser data. They are written as demonstrations of basic algorithm implementations and are not designed for real-world (ie, efficient) application. The source code consists of MatLab scripts, mex-files and C++ code.
to objects). This demo also provides a nice example of using "placement new" and explicit destruction.
-This a set of simple implementations for aligning scans of range-bearing laser data. Th are written as a journalist in demonstrations of basic algor ithm implementations and are not designed for r Leveraging-world (ie, efficient) application. The source code consi sts of MatLab scripts, Mex-files and C code. to objects). This demo als o provides a nice example of using the "placement ne w "and explicit destruction.
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Size: 2665472 |
Author: sunxiaodian |
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Description: 一本关于3G方面的书籍,重点分析了WCDMA 和CDMA2000.-a 3G on the books, focusing on the WCDMA and CDMA2000.
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Size: 1611776 |
Author: Yaya |
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Description: 用matlab simulink写的W-CDMA的仿真过程的整个代码。
包含信道编码，交织，速率匹配，调制，扩频，信道模型，RACK接收机和相应的解码程序。
本源码对整个系统进行了仿真，非常具有参考价值，对研究WCDMA系统的任何模块都有帮助-using Matlab Simulink write W-CDMA simulation of the entire code. Includes channel coding, interleaving, rate matching, modulation, spreading, Channel model, RACK receiver decoder and the corresponding procedures. The source of the entire system for simulation, the very reference value, Study on the WCDMA system will help any module
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Description: Matlab与VC混合编程技术精华收集以及我自己的总结"w-”开头的文章都是我自己总结的，看了一定可以搞定混合编程问题。-Matlab and VC mixed programming technology essence collection and my own conclusion "w-" the beginning of the article I summed up all the reading will be able to get mixed programming problems.
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Size: 3878912 |
Author: 龚勋 |
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Description: he power method will be applied to the jacobian matrix of the
2-D henon map to approximate the first Lyapunov exponent by creating
a graph of ln|yn| vs. n, where n is the number of iterations of the
power method and yn = 1/n*ln|DG^n(xo)*yo|. The slope will be an
approximation to the largest Lyapunov exponent.-he power method will be applied to the jacob ian matrix of the 2-D map to approximate henon th e first Lyapunov exponent by creating a graph of ln | yn | vs. n, where n is the number of iterations of the power m ethod and yn = a/n* ln | DG ^ n (xo)* yo |. The slope w ill be an approximation to the largest Lyapunov exponent.
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Size: 1024 |
Author: 杨蒙 |
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Description: ％The phase locked loop(PLL),adjusts the phase of a local oscillator
％w.r.t the incoming modulated signal.In this way,the phase of the
％incoming signal is locked and the signal is demodulated.This scheme
％is used in PM and FM as well.
％We will implement it by using a closed loop system.Control systems
％techniques are applied here.- The phase locked loop (PLL), adjusts the phase of a local oscillator wrt the incoming modulated signal.In this way, the phase of the incoming signal is locked and the signal is demodulated.This scheme is used in PM and FM as well. We will implement it by using a closed loop system.Control systems techniques are applied here.
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Size: 2048 |
Author: 张勇 |
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Description: Motion-Compensated Noise Reduction in B&W Motion Picture Films,基于运动补偿的视频降噪，matlab实现，有完整文档说明-Motion-Compensated in B Noise Reduction
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Size: 222208 |
Author: 严刚 |
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Description: The Game:
Make the snake grow longer by directing it to the food.
Extra bonus points are given from hearts, eat them as fast as possible as amount of bonus points decreases with time.
Higher level gives more points for the food but will also make it tougher to steer a long snake as speed increaces.
Five different mazes as well as play w/o maze are possible.
-The Game : Make the snake grow longer by directing it to the food. Extra bonus points are given from hearts. eat them as fast as possible as amount of bonus po ints decreases with time. Higher level gives mo 're points for the food but will also make it tough er to steer a long snake as speed increaces. Five different mazes as well as play w/o maze are poss ible.
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Size: 5120 |
Author: 阳关 |
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Description: Kalman filter that can be simulated under windws-Kalman filter that can be simulated under w indws
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Size: 733184 |
Author: wei |
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Description: This toolbox implements the algorithm in a fairly general way in a C file that can be called from Matlab. It allows to perform the traditional NL-means for denoising (for both B&W and color images) but also to use an arbitrary set of patches to perform the denoising.
-This toolbox implements the algorithm in a fairly general way in a C file that can be called f rom Matlab. It allows to perform the traditiona l NL-means for denoising (for both B
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Size: 1406976 |
Author: 张文国 |
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Description: 图论中最小生成树Kruskal算法 及画图程序 M-函数
格式 [Wt,Pp]=mintreek(n,W)：n为图顶点数,W为图的带权邻接矩阵，不构成边的两顶点之间的权用inf表示。显示最小生成树的边及顶点, Wt为最小生成树的权,Pp(:,1:2)为最小生成树边的两顶点,Pp(:,3)为最小生成树的边权,Pp(:,4)为最小生成树边的序号 附图,红色连线为最小生成树的图
例如
n=6 w=inf*ones(6)
w(1,[2,3,4])=[6,1,5] w(2,[3,5])=[5,3]
w(3,[4,5,6])=[5,6,4] w(4,6)=2 w(5,6)=6
[a,b]=mintreek(n,w)
-Graph theory Kruskal minimum spanning tree algorithm and Paint program M-function format [Wt, Pp] = mintreek (n, W): n for the map Vertices, W for weighted graph adjacency matrix, does not constitute the edge of the two vertices of between the right to express with inf. Show the minimum spanning tree of edges and vertices, Wt right for the Minimum Spanning Tree, Pp (:, 1:2) for the minimum spanning tree edges of the two vertices, Pp (:, 3) for the minimum spanning tree of the right side, Pp ( :, 4) For the minimum spanning tree graph edge serial number, red connection for the minimum spanning tree of graph such as n = 6 w = inf* ones (6) w (1, [2,3,4]) = [ 6,1,5] w (2, [3,5]) = [5,3] w (3, [4,5,6]) = [5,6,4] w (4,6) = 2 w (5,6) = 6 [a, b] = mintreek (n, w)
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Size: 1024 |
Author: lluo |
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Description: bp神经网络算法是解决最优化问题的先进算法之一，本论文讨论了神经网络中使用最为广泛的前馈神经网络。其网络权值学习算法中影响最大的就是误差反向传播算法（back-propagation简称BP算法）。BP算法存在局部极小点，收敛速度慢等缺点。基于优化理论的Levenberg-Marquardt算法忽略了二阶项。该文讨论当误差不为零或者不为线性函数即二阶项S(W)不能忽略时的Hesse矩阵的近似计算，进而训练网络。-bp neural network algorithm to solve optimization problems, one of the advanced algorithm, the paper discusses the neural network in the most widely used feed-forward neural network. Its network weights learning algorithm in the greatest impact is the error back-propagation algorithm (back-propagation algorithm referred to as BP). BP algorithm for the existence of local minimum points, such as the shortcomings of slow convergence. Optimization theory based on the Levenberg-Marquardt algorithm ignores the second-order item. In this paper, the discussion when the error is not zero or not that is second-order linear function of S (W) can not be ignored when the Hesse matrix of approximate calculation, and then training the network.
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Size: 19456 |
Author: 刘慧 |
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Description: 根据W. Bender的《Techniques for data hiding》编写
％用补丁方法对图象做DCT域的水印嵌入和提取，
％效率极高，程序简洁，属信息隐藏中常用的方法之一。
％作者：辽宁大学 信息学院 范铁生
％email:fts0@163.com-W. Bender in accordance with the
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Size: 1024 |
Author: gao |
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Description: This MATLAB code is an example of how to train the GCRF model
described in "Learning Gaussian Conditional Random Fields for
Low-Level Vision" by M.F. Tappen, C. Liu, E.H. Adelson, and
W.T. Freeman in CVPR 2007. If you use this code in your research,
please cite this paper
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Size: 43008 |
Author: 代松 |
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Description: Welch法：Welch法对Bartlett法进行了两方面的修正：一是选择适当的窗函数w(n)，并在周期图计算前直接加进去，加窗的优点是无论什么样的窗函数均可使谱估计非负。二是在分段时,可使各段之间有重叠，这样会使方差减小。-Welch method: Welch method of Bartlett method amendments in two respects: First, select the appropriate window function w (n), and in the cycle before CALPHAD directly incorporated, plus the advantage of the window, no matter what kind of window function can be so spectral estimation of non-negative. Second, when in subparagraph can overlap between paragraphs, this would reduce the variance.
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Size: 1024 |
Author: 赵西玲 |
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Description: D-S.Kim, Y.S.Lee, W.H.Kwon, and H.S.Park, "Maximum Allowable Delay Bounds in Networked Control Systems", Control Engineering Practice (Elsvier Science) (Simulation Example - Matlab Code), PP.1301-1313, Vol.11, Issue 11, December, 2003-D-S.Kim, Y.S.Lee, W.H.Kwon, and H.S.Park, "Maximum Allowable Delay Bounds in Networked Control Systems", Control Engineering Practice (Elsvier Science) (Simulation Example- Matlab Code), PP.1301-1313, Vol.11, Issue 11, December, 2003
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Size: 3072 |
Author: 田之秋 |
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Description: H.S.Park, D-S.Kim, and W.H.Kwon "A Scheduling Method for Network-based Control Systems", IEEE Transaction on Control System Technology, Vol.10, No.3, pp. 318-330, May, 2002 (Simulation Example 1- Matlab Code) -HSPark, DS.Kim, and WHKwon A Scheduling Method for Network-based Control Systems , IEEE Transaction on Control System Technology, Vol.10, No.3, pp. 318-330, May, 2002 (Simulation Example 1- Matlab Code)
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Size: 3072 |
Author: 田之秋 |
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Description: ％ EM algorithm for k multidimensional Gaussian mixture estimation
％
％ Inputs:
％ X(n,d) - input data, n=number of observations, d=dimension of variable
％ k - maximum number of Gaussian components allowed
％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none)
％ maxiter - maximum number of iteration allowed ([] for none)
％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none)
％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none)
％
％ Ouputs:
％ W(1,k) - estimated weights of GM
％ M(d,k) - estimated mean vectors of GM
％ V(d,d,k) - estimated covariance matrices of GM
％ L - log likelihood of estimates
％- EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates
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Size: 3072 |
Author: Shaoqing Yu |
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