jiazaosheng

PAMSE - measure the distortion degree of distorted image imd with the reference image imo using the Gaussian smoothed MSE(PAMSE- measure the distortion degree of distorted image imd with the reference image imo using the Gaussian smoothed MSE)

本书主要讲述以MATLAB为分析工具的量化投资，有 MATLAB入门 、“MATLAB量化投资基础”和“MATLAB量化投资相关函数详解”3篇组成。(This book focuses on MATLAB as analytical tools to quantify investment, " MATLAB Started" , " MATLAB-based quantitative investment" and " MATLAB Detailed quantitative investment related functions" three components.)

用于对文本的分类，并用于预测，达到一定的精确度。(in order to be use classify，and be used pretected,in order to be certain accuracy)

MIMO-OFDM系统信道估计算法研究(LS,LMMSE),对受加性高斯白噪声干扰，多径效应影响的信号，仿真研究MIMO-OFDM的性能(A Study on the Channel Estimation Algorithms of MIMO-OFDM System)

this matlab source code that can watermark an image with image

The signal received by a user over the forward link in such a high data rate system contains interference from the neighboring base stations. we note that the strength of this interference is a function of the network load in the neighboring cells. we obtain an expression for the received SINR (Signal to Interference and Noise Ratio) as a function of the traffic load in the interfering cells. Using this result, we propose an improvement to the SINR estimation scheme that is implemented in the current cellular data network. The proposed scheme provides a more accurate estimate of the user SINR by taking better account of the contribution of inter-cell interference. It builds on top of the current SINR measurement scheme by using a combination of pilot measurement and traffic load measurement

This part implements the copypaste forgery detection.

matlab写的数字识别程序，功能基本完成Demo1(matlab write digital identification Demo1)

关于MOPA结构光纤激光器的程序，介绍了MOPA光纤激光器的发展现状，了解国外先进水平(About MOPA MOPA structure of fiber laser program introduced the developing situation of fiber laser learn foreign advanced level )

Input-Output Time-Series Prediction, Forecasting, Dyanamic modelling Nonlinear autoregression, System identification and Filtering