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东北大学 薛定谔的高等应用数学问题MATLAB求解的源代码(Northeastern University, Applied Mathematics Higher Schrodinger problem solving MATLAB source code)

《MATLAB6.0数学手册》 本教程按逻辑编排，自始至终用实例描述，既适用于初学者自学，也适用于高级 MATLAB 用户。可作为高等数学、数值分析、工程数学、数学建模、线性规划等课程的教 学参考书，也可作为科技工作者学习和使用MATLAB 的参考书，还可作为数学实验的教学 用书，特别适合用作理工科大学生学习数学课程的教学辅导书。(" MATLAB6.0 Mathematics Handbook," this tutorial logically arranged from beginning to end examples describing both self-study for beginners, but also to advanced MATLAB users. Can be used as advanced mathematics, numerical analysis, engineering, mathematics, mathematical modeling, linear programming courses teaching reference books, but also can be used as scientific and technological workers to learn and use MATLAB reference books, but also as an experimental teaching mathematics books, in particular, suitable for science and engineering students to study mathematics curriculum counseling books.)

MQAM在AWGN信道下的星座图与误码率分析(MQAM constellation and BER Analysis)

matlab用法教程，非常详细，是我大学老师自己编的(Usage matlab tutorial, very detailed, is my own series of university teachers)

this work getting you a good start for nonlinear approximation of nonlinear systems

捷联惯导系统放置在室内测试台上做静态测试，测试时间4500s。 1）取前180数据做粗对准（解析对准法）； 2）取第181s~900s数据做精对准（Kalman滤波法）； 3）从第901s开始做纯惯导解算； 4）用国军标的导航系统位置精度评价方法评估系统定位精度（分别计算CEP50 和 CEP95 下的定位精度）。(The strapdown inertial navigation system was placed on the indoor test bench for static test with a test time of 4500s. 1) take the first 180 data for rough alignment (analytical alignment method); 2) accurate alignment of 181s-900s data (Kalman filtering method); 3) pure inertial navigation solution is performed from 901s; 4) the positioning accuracy of the navigation system is evaluated by the method of position accuracy evaluation of the national military standard (the positioning accuracy under CEP50 and CEP95 are calculated respectively).)

classic direction of arrival and beam forming method matlab implementation

matlab graph toolbox. It includes many algorithms which are used to find out a cycle basis and the shortest path of a graph

Noise estimator for SENSE MRI The Maximum Spacing Noise Estimation in Single-coil Background MRI Data Signal Dependent Noise Level Estimation Fast Noise Estimation in Images Detail Preserving Anosotropic Diffusion for Speckle Filtering (DPAD) 2-D adaptive noise-removal filtering Noise estimators for MRI data Toolbox Noise estimation rician noise corrupted images

matlab代码实现分形维数计算1，2,3维图形的盒维数(The following examples illustrate how to use the Matlab package boxcount to compute the fractal dimension of 1D, 2D or 3D sets, using the box-counting method.)