kinect-test

Introduction: Genetic Fuzzy Systems This special issue encompasses eight papers devoted to genetic fuzzy systems. All of them are revised and expanded versions of papers presented in a series of two invited sessions organized by the Guest Editors of this special issue at the Seventh International Fuzzy Systems Association World Congress IFSA’97. that was held in Prague, Czech Republic, June 25]29, 1997.

弹性波在饱和多孔介质中传播的BISQ模型MATLAB源码。(Elastic wave propagation in saturated porous media BISQ model MATLAB source. )

说明：  关于lmf算法的论文，用高速DSP在频域上实现LFM信号的实时脉冲压缩(Lmf algorithm on paper, using high-speed DSP in the frequency domain to achieve real-time signal LFM pulse compression)

这是一个经典的把matlab应用于DFT的例子,适合于初学者(This is a classic application of Matlab put DFT example, suitable for beginners)

GUI制作中文资料，以中文的形式介绍如何在matlab中实现创建GUI 界面(Chinese GUI production information to the Chinese in the form of matlab on how to create a GUI interface to achieve)

This simple Matlab function simulates a innovative algorithm for narrow band interference mitigation for wireless communications, esp for satellite comm. The algorithm looks similar to LMS, but error is non-linearly transformed. It works well and a hardware demonstration was successfully fulfilled on Altera FPGA development platform. More details on algorithm refers to "Nonlinear Techniques for Interference Suppression in Spread Spectrum Systems" by R. Vijayan.

fiber optical modes.simulation of optican fiber with figures

目标作蛇形机动matlab仿真，包括卡尔曼和最小二乘滤波，可出x，y方向误差，(Matlab simulation target for maneuver, including the Kalman and least square filtering, the x, y direction of error,)

This document covers various aspects the Heston model. The structure and topics covered is as follows: Chapter 1 introduces the model and provides theoretical and graphical motivation for its robustness and hence popularity. It also discusses pricing using the Partial Differential Equation and Equivalent Martingale Measure techniques Chapter 2 discusses how the different components of the model can be evaluated computationally and how this can be achieved with different methods. These methods are then compared to each other. Chapter 3 addresses the calibration problem. Different methods are presented as well as practical implementation, results thereof, and comparisons. All the MATLAB code required to implement the model is provided in the appendix

粒子群算法，基于粒子群算法的简单程序，主要是粒子群算法(Particle Swarm Optimizer)