work

说明：  对有噪信号采用4种不同的阈值算法，实现信号的去噪(In noisy signal in 4 different threshold algorithm, realize signal denoising )

说明：  光学干涉，包括单缝干涉，多缝干涉等多种干涉实验仿真代码，(Optical interferometry, including the single-slit interference, multi-slit interference experiment and other simulation codes, )

本书实现了基于Matlab 与Excel 的实验数据自动处理，有助于完成自动化测试(Based on the book to achieve the automatic processing of the experimental data with Excel, Matlab, helps automate the testing)

LQR连接外部数据处理，教学实验都可以采用(LQR connection to external data processing, teaching experiments can be used)

Ensure the default values are set for any receiver, activity, service, etc. of Calendar.

本程序实现了java调用matlab功能，java向matlab传得参数是一个wav文件的地址(This program implements the java call matlab functions, java matlab pass to get a wav file parameter is the address of)

DiseqC Switch project full for sattelite recievers

fuzzy logic code for temperatute process in sugar evaporator

GM(1,1)模型1-4 1：GM(1,1)模拟模型，在matlab中的输入方法为gm1（x），x指要模拟的序列。 2：GM(1,1)预测模型，在matlab中的输入方法为gm2（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 3：GM(1,1)群模拟模型，在matlab中的输入方法为gm3（x），x指要模拟的序列。 4：GM(1,1)群预测模型，在matlab中的输入方法为gm4（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 gm4对序列趋势比较好的数据预测效果较好，对上下变动的数据，特别是后4个数据趋势跟前面的数据相反的，预测效果很差。 gm2对上下变动的数据，预测效果比gm4好，但对趋势较好的数据，预测精度没有gm4高。 gm3比gm1模拟精度要高。 可以以x=[1 3 5 7 9 11 13 15]进行实验。x输入默认行向量。 所有程序在matlab6.0上调试通过。(GM (1,1) 1-4 1 : GM (1,1) simulation model Matlab in the input method for gm1 (x), x entail simulation sequence. 2 : GM (1,1) model, in the Matlab input method for gm2 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. 3 : GM (1,1)- simulation model, in the Matlab input method for gm3 (x), x entail simulation sequence. 4 : GM (1,1)- forecasting model, in the Matlab input method for gm4 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. Gm4 right sequence relatively good trend data predicted better results, the next change in the data, especially after four data with the previous trend data contrary, predict poor. Gm2 next to the change in forecast resu)

this is an matlab code for acoustic echo cansellation