GUI--time

一个IEEE802.11b的实用例子，供正在学习的朋友参考。(5.5 Mbps CCK Simulation using specs from IEEE 802.11b, No guarantees and warantees!)

基于贝叶斯网络的风机出力预测，有预测指标等内容(wind power forecast based on the Bayesian method)

Improved ant clustering algorithm

级联形式的最大相关熵准则自适应滤波算法,希望有所帮助(Cascade MCC adaptive filtering algorithm)

Computes the vector gradient of an RGB image

RAKE接收机直接序列扩频系统 一个简单的Simulink的直接序列扩频频谱与RAKE接收系统模型。 (For DS- SS systems RAKE receiver RAKE receiver direct sequence spread spectrum system with a simple Simulink spectrum and direct sequence spread spectrum RAKE receiver model.)

说明：  该文件基于Matlab的GUI界面设计了6自由度串联机器人的运动学、动力学和轨迹规划的算法，用户可以计算PUMA560型的机器人的正逆运动学，正逆动力学和指定的轨迹规划，同时可以动画显示机器人点对点的运动路线。该程序可进行二次开发，用户可根据机器人模型的不同修改参数，针对自身模型进行运动学、动力学和轨迹规划的计算与仿真。(Based on the GUI interface of matlab, this paper designs an algorithm for kinematics, dynamics and trajectory planning of 6-DOF serial robot. Users can calculate the forward and inverse kinematics, forward and inverse dynamics and specified trajectory planning of PUMA560 robot. At the same time, they can animate the point-to-point motion path of the robot. The program can be redeveloped. Users can modify parameters according to different robot models, and calculate and simulate kinematics, dynamics and trajectory planning of their own models.)

一个基于Simulink的UKF教程,它涵盖了从设计，仿真，硬件在环测试，并建立一个独立的嵌入式系统的开发过程。(Unscented Kalman filtering tutorial: Simulink and tilt sensor case study. It covers the development process from design, simulation, hardware-in-the-loop testing, and creating a stand-alone embedded system. The content is supposed to be as simple/introductory as possible.)

鲁棒性控制系统的仿真与CAD，用来学习鲁棒性，在matlab里的仿真，希望对大家有帮助(Robustness of the control system simulation and CAD used to study the robustness of the simulation in matlab everyone)

基于OFDMA系统的多用户资源分配算法，论文配备MATLAB代码，入门的好教材。(— Orthogonal Frequency Division Multiple Access (OFDMA) basestations allow multiple users to transmit simultaneously on different subcarriers during the same symbol period. This paper considers basestation allocation of subcarriers and power to each user to maximize the sum of user data rates, subject to constraints on total power, bit error rate, and proportionality among user data rates. Previous allocation methods have been iterative nonlinear methods suitable for ofine optimization. In the special high subchannel SNR case, an iterative root-nding method has linear-time complexity in the number of users and N logN complexity in the number of subchannels. We propose a non-iterative method that is made possible by our relaxation of strict user rate proportionality constraints. Compared to the root-nding method, the proposed method waives the restriction of high subchannel SNR, has signicantly lower complexity, and in simulation, yields higher user data rates.)