channel-estimation-and-prediction

1.本书在MATLAB环境下实现了各类PID控制算法,具有很强的工程参考价值. 2、将光盘中的仿真程序复制到硬盘MATLAB运行的路径中，便可仿真运行。 3、本书算法在MATLAB 5.3版下运行成功，并适用于其他版本。 (1. This book has all kinds of MATLAB environment to achieve PID control algorithm, has a strong engineering reference value. 2, CD-ROM in the simulation program will be copied to the hard disk to run the path of MATLAB, the simulation can be run. 3, the book version of algorithm in MATLAB 5.3 running under success, and apply to other versions.)

This m_file uses a PLL to demodulate an FM modulated carrier

matlab中文帮助文档,matlab强大的数据处理和图像处理能力(matlab help in Chinese)

线性回归问题，内有简单matlab程序（可运行）以及PPT详解。(Linear regression, there are simple matlab (runs) and PPT explain.)

为了提高使用精度，研究了某型号MEMS陀螺仪的随机漂移模型。采用游程检验法分析了 该陀螺仪随机漂移数据的平稳性，并根据该漂移为均值非平稳、方差平稳的随机过程的结论， 采用梯度径向基（RBF）神经网络对漂移数据进行了建模。实验结果表明：相比经典RBF网络模 型而言，这种方法建立的模型能更好地描述MEMS陀螺仪的漂移特；相对于季节时间序列模型而 言，其补偿效果提高了大约15％。(In order to improve accuracy, to study a particular model of the MEMS gyroscope random drift model. Using run-length analysis of the test gyro random drift data stationarity, and in accordance with the drift for the average non-stationary, the variance of the random process a smooth conclusion, the use of gradient radial basis (RBF) neural network drift data to build mode. The experimental results show that: compared to the classical RBF network model, this method of establishing a model to better describe the MEMS gyroscope drift special compared with the seasonal time series model, the effect of their compensation increased by approximately 15.)

Computer Networking - Go Back N

MIMO Tool is a toolbox for MATLAB (it works fine in every version from 5.3 until 7.8) developed with the aim to offering a complete toolbox for continuous time MIMO linear systems analysis and robust control synthesis.

读取一些特定的数据中的函数 简单！其他有待开发(Read some of the specific data in a simple function)

find the area of circle, temprature(celcius-far), logic design in matlab for 3 variable

利用MATLAB实现图像的离散余弦变换的源代码(MATLAB realization of the use of discrete cosine transform image of the source code)