matrix-operations-in-matlab

有限体积法求解一维欧拉方程，有助于理解近似黎曼解的概念(Finite volume method for solving one-dimensional Euler equations, contribute to an understanding of the concept of approximate Riemann solutions)

模式识别的经典算法之一，动态聚类的k均值算法，采用matlab进行编程(One of the classic pattern recognition algorithms, dynamic clustering k-means algorithm using matlab programming)

Matlab源代码 应用于神经网络的工具箱 (Matlab source code used in neural network toolbox)

非线性设计方面的论文，能结合simulink进行设计(some paper for NCD，it can be designed in simulink)

MATLAB中有专用的通信工具箱，里面提供了相当多的通信方面的函数，使用户能 轻松地进行通信方面的分析与处理，用户也可以自己编程解决问题(There are dedicated MATLAB toolbox of communication, which provides a considerable number of communications functions, allows users to easily communicate analysis and processing, the user can also be programmed to solve the problem themselves)

利用超大规模集成电路技术实现高精度的A/D转换器通常采用过采样技术，该技术包括调制器和数字滤波两部分。(The use of VLSI technology to achieve high-precision A/D converters typically using oversampling technique including modulator and digital filter in two parts.)

There are many compressed sensing (CS) recovery algorithms that have been proposed. Here I list some of them, and provide the corresponding experimental results. Essentially, the recovery algorithms are similar to the sparse coding based on the over-complete dictionary.

Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (LARS) and elastic net (LARS-EN) regression. There also exists a method for calculating principal components with sparse loadings. This software package contains Matlab implementations of these functions. The standard implementations of these functions are available as add-on packages in S-Plus and R. Keywords LASSO, LARS, SPCA, Matlab, Elastic Net, Sparse, Sparsity, Variable selection

基于matlab，数值分析，代码编程实现，作业(Matlab, the numerical analysis, programming code )

《kalman滤波理论及其在导航系统中的应用》,对卡尔曼滤波在导航中的应用有很好的指导作用("Kalman" filter theory and its application in navigation system, a very good role in guiding the application of Calman filter in the navigation)