mmc1

我们假设我们的轨迹从原点（0,0）出发，终点B的坐标是（2,1）。通过Matlab就可以计算出边界条件，最终画出曲线。(We assume that our path from the origin (0,0) starting and ending coordinates of B are (2,1). Matlab can be calculated by boundary conditions, the final draw the curve.)

基于matlab语言编写的利用元胞自动机对图像的边缘进行检测的算法。(Matlab language based on the use of cellular automata on the image edge detection algorithm.)

最优控制内容，关于找到最优解的问题：主要是对极小值原理、动态规划、线性二次型的应用。(Find the optimal solution for the problem，about minimum principle, dynamic programming, linear quadratic applications)

matlab产生长度12的格雷码 matlab函数，可实现golay编码和译码(matlab function, can be realized golay encoding and decoding)

TD-SCDMA系统中的联合检测算法中的最小均方误差线性块均衡器(MMSE一BLE）算法的MATLAB程序 (TD-SCDMA system, the joint detection algorithm in the minimum mean square error block linear equalizer (MMSE a BLE) program MATLAB algorithm)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

Algorithm Collections for Digital Signal Processing

关于matlab学习的好教材 其中包括：MATLAB语言基础，控制系统的数学描述和建模，simulink仿真基础 (Matlab learn about good teaching material, including: MATLAB language-based, the control system of the mathematical description and modeling, simulink simulation-based)

gaussprocess, gaussian processing for montecarlo

Modal analysis in Matlab to calculate all modal parameters from a structure