▍1. matlab9
MATLAB 程式设计与应用,非常好的学习者资料 (MATLAB program design and application,Good learners material)
MATLAB 程式设计与应用,非常好的学习者资料 (MATLAB program design and application,Good learners material)
说明: 七单元天线阵DOA估计 clear clc d=1 天线阵元的间距 lma=2 信号中心波长 q1=1*pi/4 q2=1*pi/3 q3=1*pi/6 q4=3*pi/4 四输入信号的方向 A1=[exp(-2*pi*j*d*[0:6]*cos(q1)/lma)] 求阵因子 A2=[exp(-2*pi*j*d*[0:6]*cos(q2)/lma)] A3=[exp(-2*pi*j*d*[0:6]*cos(q3)/lma)] A4=[exp(-2*pi*j*d*[0:6]*cos(q4)/lma)] A=[A1,A2,A3,A4] 得出A矩阵 n=1:1900 v1=.015 四信号的频率 v2=.05 v3=.02 v4=.035 d=[1.3*cos(v1*n) 1*sin(v2(we)
说明: matlab的噪声模型,在原有噪声模型的基础上作出了一些改进。(matlab noise model, noise model on the basis of the original made some improvements.)
说明: Matlab编程,可用于对二维图像进行处理,得到相应的轮廓图、Sobel边界图、柱状图等,可以进行灰度调整 (This program is used for 2D image.It can be used to give the outline,Sobel bounadry map and histogram of the image.Also,it can ajust the gray of the image.)
matlab book related to fuzzy logic
说明: 带约束算子的粒子群算法,用于matlab环境,对于搞研究的教师有很大帮助(Operator Constrained Particle Swarm Optimization for the matlab environment, engage in research for teachers are very helpful.)
reconnaissance de parole par des HMM
我的智囊团项目完整的源代码,可以作为HSS学习的例子,但是注意要导入相应的包! (I think-tank project the complete source code can be used as HSS learning example, but note that you want to import the appropriate package!)
步态识别的一篇博士论文,对学习步态识别非常有用.(Gait recognition of a doctoral dissertation on the study and gait recognition is very useful.)
设计可以闪烁的文字和图形,自定义的控件,具有可重用性(Design can be flashing text and graphics, custom controls, with reusable)
前馈ANC系统的模型,但是,不详细,可以参考!(the model of two earphone active noise control)
VC和matlab平台编程,实现实时录音,与语音信号的断点检测。注意,不是查询方式,是回调函数实时处理。(VC and matlab platform for programming, real-time recording, and voice signals breakpoint detection. Note that the query is not a way, is a callback function, real-time processing.)
matlab hello world程序、windows对话框的mex程序,对于学习matlab混合编程很有帮助(matlab hello world programs, windows dialog mex program, very helpful for learning matlab Hybrid Programming)
matlab访问串口的程序,包括:打开、关闭和清除串口对象;读串口、写串口;串口的数据流控制;还包括:怎么用matlab发送手机短信的例程;这是学习matlab访问系统硬件的原理,不可多得的经典例程!(matlab serial port access procedures, including: open, close and clear the serial port object read serial port and write serial port serial data flow control also include: how to send SMS using matlab routine it is to learn the principle of the hardware to access the system matlab , rare classic routines!)
F16飞机的动态仿真。使用MATLAB和C++混合编程。(F16 aircraft dynamic simulation. The use of MATLAB and C++ mixed programming.)
This package contains some MatLab tools for multi-scale image processing. Briefly, the tools include: - Recursive multi-scale image decompositions (pyramids), including Laplacian pyramids, QMFs, Wavelets, and steerable pyramids. These operate on 1D or 2D signals of arbitrary dimension. Data structures are compatible with the MatLab wavelet toolbox. - Fast 2D convolution routines, with subsampling and boundary-handling. - Fast point-operations, histograms, histogram-matching. - Fast synthetic image generation: sine gratings, zone plates, fractals, etc. - Display routines for images and pyramids. These include several auto-scaling options, rounding to integer zoom factors to avoid resampling artifacts, and useful labeling (dimensions and gray-range).
应用MATLAB软件设计FIR数字滤波器,并对所设计的滤波器 进行仿真 应用DSP集成开发环境一CCS调试汇编程序,用TMs3加C5416来实现了FIR数字滤波。 (digital filte,DSP,FIR,MATLAB )
GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data.
matlab 代码 k-means 算法 实现2-D数据的聚类(matlab code for k-means algorithm is 2-D data clustering)
说明: 相当全面的介绍云计算与云存储的资料,据说这是计算机科学最有发展前途的方向之一(A fairly comprehensive introduction to cloud computing and cloud storage data, which is said to computer science the most promising directions of)