GPS_INS-tightly

Performance of QPSK and DQPSK in AWGN and Rayleigh Fading Channel. A detailed Report of the work done in the source code is also attached as another file

Geomagic_Studio中文学习教程，提供简单的图片介绍和说明。(Geomagic_Studio Chinese learning tutorial provides a simple picture description and explanation.)

本程序主要用来计算根据灰色理论建立的模型的预测值。 应用的数学模型是 GM(1,1)。 原始数据的处理方法是一次累加法( Of the procedures used to calculate the main theory in accordance with the gray of the predictive value of the model. The application of the mathematical model is GM (1,1). Handling of the raw data is a cumulative method)

说明：  图像进行边缘检测后的像素连接处理，希望大家支持。(Image pixel edge detection connection handling, hope you will support.)

本Matlab程序对脑区域图像进行分析，计算脑体积。(The Matlab program to analyze images of brain regions, calculated brain volume.)

对8PSK完美建模，其中通过改变码元速率和载波频率，再计算相应的环路滤波器的参数，即可实现多种QPSK模型的解调，且该模型可通过SYSTEM generator进行量化，从而生成ISE能直接使用的HDL代码。(Perfect modeling of 8PSK, wherein by changing the symbol rate and carrier frequency, and calculate the corresponding parameters of the loop filter, to achieve a variety of demodulated QPSK model, and the model can be quantified by SYSTEM generator, thereby generating ISE HDL code can be used directly.)

对于扩散反应方程的格子boltzmann仿真实验 我们要达到解决反应项的问题(Diffusion-reaction equation for the lattice boltzmann simulation experiment we want to solve the problem of response)

贝叶斯网络的matlab实现。可以创建贝叶斯网络、训练模型，以及实现统计推理。这里是最新的1.0.4版(Bayesian networks to achieve matlab. Bayesian networks can be created, the training model, and the achievement of statistical inference. Here is the latest version 1.0.4)

In mathematics, the method of steepest descent or stationary phase method or saddle-point method is an extension of Laplace s method for approximating an integral, where one deforms a contour integral in the complex plane to pass near a stationary point (saddle point), in roughly the direction of steepest descent or stationary phase.

This is a beta version of the superpixel code. It hasn t been thoroughly tested on different architectures. It was tested on a Linux system with Matlab 7.1, with gcc and g++ compilers. (The random walker algorithm was introduced in the paper: Leo Grady and Gareth Funka-Lea, Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials , in Proceedings of the 8th ECCV04, Workshop This is a beta version of the superpixel code. It hasn t been thoroughly tested on different architectures. It was tested on a Linux system with Matlab 7.1, with gcc and g++ compilers. )