Newtint

New ccross talk algorithm

基于MATLAB的计算机控制系统，PID控制器的PD（微分，积分）控制仿真分析。(Based on the MATLAB computer control system, PID controller PD (differential, integral) control simulation analysis.)

Abstract— We propose a simple speech compression algorithm using subband division and ADPCM (Adaptive Differential Pulse Code Modulation) algorithm. Although speech data are stored in a semiconductor memory device, its capacity and the available network capacity are limited. Therefore, it is necessary to compress the data as much as possible. The first is that the reconstructed datum must be understood correctly. Speech signal is compressed with a ratio of 1/4 using the proposed subband division and ADPCM (Adaptive Differential Pulse Code Modulation) algorithm.

《MATLAB神经网络30个案例分析》中的第20个例子，案例20 神经网络变量筛选—基于BP的神经网络变量筛选。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 20 cases of 20 neural network variable selection- based on BP neural network of variable selection. Hope to have certain help to everybody!)

Shows single- and two-stage-decomposition of a sample image, as well as reconstructed branches. The reconstruction error is shown. Also demonstrates that better compression can often be obtained if different thresholds are allowed for different subbands.

mokhlesam va kheyli chakeram mehdipoor hastam

利用matlab自带的BP神经网络工具箱对duffing混沌背景模型进行相空间重构与预测，程序中已经给出duffing函数，主函数中也给出了主要注释，方便大家学习交流。(BP' s own use matlab neural network toolbox for duffing chaotic background model and prediction of phase space reconstruction, the program has been given duffing function, the main function also gives the main note, we facilitate learning exchanges.)

说明：  模糊自适应整定PID仿真程序。自适应模糊PID控制器以误差e和误差变化ec作为输入，可以满足不同时刻的e和ec对PID参数自整定的要求。(Fuzzy Adaptive Tuning PID Control.)

光放大器仿真能够计算出放大的信号功率以及噪声功率(optical amplifier)

日前调度计划优化，根据负荷、风电、光伏、燃气轮机、蓄电池出力计划，安排日前调度出力，以成本最优为目标函数进行调度(Recently scheduling optimization, depending on the load, wind power, photovoltaic, gas turbines, battery output plan arranged before scheduling output, optimal scheduling cost as the objective function)