peak-finding

pid control based on matlab

matlab数字信号处理实例；MATLAB下的数字信号处理实现示例(matlab digital signal processing examples MATLAB under the sample implementation of digital signal processing)

This about the chaos and the heredity algorithm nerve networktraining algorithm and the research article

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.)

fading channel model

In the following figure is a system of two water tanks. Mass flow into the top tank at a fixed rate q0 and exits this tank through an orifice of area A1. This exit water then flows into a second tank which has an orifice of area A2 at its bottom. Each tank has constant cross section of area A, with A>>A1,A2. (a) Determine the ODE model which governs the heights z1 and z2 of water in the system. (b) Determine the equilibrium given a fixed rate q0. (c) Linearize the system model about the equilibrium. (d) Compare the step responses of the nonlinear model and linearized model by choosing reasonable system parameters. ( (b) Plot the flow v.s. pressure drop curve with the estimated c to validate your estimation

说明：  使用MATLAB进行的SIMULINK仿真，实现了磁悬浮PID控制(SIMULINK simulation with MATLAB realizes the PID control of magnetic levitation)

说明：  kalman非常详细的原理说明,主要有介绍了几个原理公式,同时用了一个例子形象的说明原理(the introdution of kalman)

系统讲解MATLAB基本环境和操作要旨，阐述符号计算、数值计算、计算结果可视化及编程精要，有Simulink的功能级和元器件级仿真能力实例。(Explain basic operations, Symbolic computation, numerical omputation, visualization and programming calculations of MATAB.)

some exemple of code matlab for some pictures