DS_CDMA_communication_system

说明：  通过编程实现通过共轭梯度法和Gauss-Seidel迭代法两种方法求解方程组(By programming through the conjugate gradient method and Gauss-Seidel iteration method for solving equations of two)

说明：  文章详细分析了OFDM技术的实现原理，用MATLAB软件对OFDM的传输性能进行了仿真模拟并对结果进行了分析。(The article detailed analysis of the OFDM technology to achieve the principle of OFDM using MATLAB software for the transmission performance and simulation results are analyzed.)

matlab实现thomas算法对三角矩阵解线性方程组(matlab thomas algorithm to achieve the solution of the triangular matrix of linear equations)

pattren matching the DP algorithm

同步发电机，用于仿真用，6.5以上可打开(Synchronous generator for the simulation used to open more than 6.5)

FFT的详细介绍，并附带一个简单的例子予以说明(the instruction of the FFT,and it offers a simple example to make you undersatand it.)

SEGMENTATION CODE FOR LUNG CANCDDER

This function calculates displacement response at interfaces of an elastic multilayered medium to a vertically propagating unitary SV or SH elastic wave. The function can be used to calculate the displacement response in a layered soil profile. Transfer functions between interfaces can be easily calculated by division of the total (=upward+downward) displacement response on the corresponding interfaces.

实现3个动态障碍物和若干个静态障碍物的环境建模，动态障碍物能显示其运动路径(Achieve environmental modeling three dynamic obstacles and obstructions several static and dynamic obstacles can show its movement path)

Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. (Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique.)