turboencoder

Implementation of cyclic coder and decoder using matlab

应用遗传算法与类神经网络于混沌系统之辨识.pdf(application of genetic algorithms and neural networks in the chaotic system of identification. Pdf)

Wireless Sensor Networks have been proposed for a multitude of location-dependent applications. For such systems, the cost and limitations of the hardware on sensing nodes prevent the use of range-based localization schemes that depend on absolute pointto- point distance estimates. Because coarse accuracy is sufficient for most sensor network applications, solutions in range-free localization are being pursued as a cost-effective alternative to more expensive range-based approaches.

本代码是通过matlab程序实现摄像头的调用功能，可自行控制连拍操作。(This code is realized by matlab camera call function, can control the operation.)

39 IEEE Bus system in Simulink

说明：  最大功率跟踪，实现光伏发电最大功率跟踪，输出完美波形(Maximum power tracking, realize the maximum power tracking of photovoltaic power generation,output perfect waveform)

粒子群优化工具箱，采用Matlab编写的PSO程序工具箱(Development Notes for psopt toolbox Future plans (in no particular order): * Performance improvement: Automatically check for existence of constraints, skip boundary-checking if unconstrained. * Performance improvement: Automatically vectorize fitness functions supplied by user, if not already vectorized. * Performance improvement: Detect and eliminate dependent (i.e. redundant) linear constraints. * Performance improvement: Automatically choose "penalize" versus "soft" constraint handling method based on type of constraints in problem. If any equality constraints exist, using "penalize", otherwise default to "soft". If "soft", automatically switch to "penalize" if more than a given percentage of particles (initial or interim) are infeasible. * Feature: An output function defined by options.OutputFcns that can save current swarm state in a file which can be reloaded later as a problem structure, in case of a system crash. * Feature: Implement multiobjective optimization option)

在混沌研究中，求系统整体LE指数的matlab源代码(In the study of chaos, seeking overall system LE index matlab source code)

bp_innerloop.m Inner loop of the backpropagtion learning algorithm. One hidden layer. Uses tanh as the transfer function. Uses the following global variables for input and/or output: Inputs1 - input patterns Desired - desired output patterns LearnRate - learning rate parameter Momentum - momentum parameter DerivIncr - increment to the derivative of the transfer function (Fahlman s trick typical value 0.2) Weights1 - first weight layer (updated by this routine) Weights2 - second weight layer (updated by this routine) deltaW1 - initialize to 0 before first call deltaW2 - initialize to 0 before first call TSS - total sum-squared error (set by this routine) Recurrent state

本程序画出了时间序列下的各变量变化图，得到混沌性质，从而在区域内对变量进行取值，达到模拟出混沌的目的(This procedure draws the time series of each variable changes in plans, the chaotic nature, and thus in the region of variable values, to simulate the purpose of Chaos)