matlab_programming_the_memory_test_program_source_

求解线性矩阵不等式的程序，简单明了，有注释，对于学习LMI有很好的帮助(Procedures for solving linear matrix inequalities, simple and clear, with annotations, very good for learning with the help of LMI)

MATLAB编写的SAR成像程序，数据采用的是仿真数据(matlab prepared SAR imaging program, using the simulation data.)

finding sift use matlab

用LAPLACE方法求解多维沃尔泰拉方程，此处为一个变元的方程，由于该方程同时含有微分和积分，一般求解有一定的困难。此处为MATLAB程序，注意不同的边界条件(used method for multiple preoperational Ertaila equation here as a variable element of the equation, As the same time contain differential equations and integral, the general solution is definitely difficult. MATLAB here for the procedures, attention to the different boundary conditions)

本课题为给语音识别系统提供语音信号端点检测的功能，对语音信号端点检测进行了探讨和研究,主要是侧重语音区间的端点检测...(附软件源码)(Voice Active Detection (VAD) is discussed in this project. Detection between speech section and speechless section and emphasized.(code available).)

turbo编码的map算法，很简洁，有snr曲线(map algorithm for turbo codes, it is simple, there are curves snr)

模型是结构体类型的线性投影Y = linproj(X, model) 其中W.model为线性投影矩阵， Y = model.W *X + model.b b为偏差值( Description: Y = linproj(X, model) linearly projects data in X such that Y = model.W *X+ model.b out_data = linproj(in_data, model) projects in_data.X out_data.X = model.W *in_data.X+ model.b out_data.y = in_data.y Input: model [struct] linear projection: .W [dim x ncomp] Projection matrix. .b [ncomp x 1] Bias.)

We start by giving a brief introduction to reservoirs and reservoir mod- elling at different scales. We introduce a mathematical model for the two- phase flow, before we look at numerical discretizations. In particular we look at the Multiscale Mixed Finite-Element (MsMFE) Method from the Matlab Reservoir Simulation Toolbox (MRST) [3], developed by SINTEF.

This is a simulation of Regular Pulse Excited Long Term Predictor used in GSM 6.10.

virginia tech EE内部DATABASE 的一篇关于MIMO-OFDM的论文，写的很不错，评分是A+(virginia tech EE internal DATABASE an MIMO-OFDM on the papers, written in a very good score is A+)