PSNR_correct

宽带数字接收机，英文经典，相比中文版，更加原汁原味(Wideband digital receivers, the English classic, compared to the Chinese version, more authentic)

提供多种函数来计算perform uncertainty and sensitivity analysis，并用散点图和柱状图来显示计算结果。(We implemented many scripts and functions to perform uncertainty and sensitivity analysis (for PRCC and eFAST) and display scatter plots (for sample-based methods only). The scripts are written in Matlab7.1. The Statistical Toolbox is required to run them. The HIV ODE model is used as a template to illustrate the functions.)

地面上方单导线传输线的单位长度电容的矩量法求解(Ground above the single-wire transmission line capacitance per unit length of the moment method)

matlab中AR模型功率谱估计中AR阶次的实现(matlab power spectral estimation of AR model order of the realization of the AR)

MATLAB实现对录音信号的滤波，包括低通，高通和带通，以及时域和频域分析(MATLAB realize filtering of audio signals, including low-pass, high pass and band-pass, as well as the time domain and frequency domain analysis)

说明：  matlab7.0在数字信号处理中的应用.pdf 机械工业出版社出版(matlab7.0 in digital signal processing application. pdf Machinery Industry Publishing House)

由于多径和移动台运动等影响因素，使得移动信道对传输信号在时间、频率和角度上造成了色散，如时间色散、频率色散、角度色散等等，因此多径信道的特性对通信质量有着至关重要的影响，而多径信道的包络统计特性成为我们研究的焦点。根据不同无线环境，接收信号包络一般服从几种典型分布，如瑞利分布、莱斯分布和Nakagami-m分布。(Because multipath and mobile and other sports influence factor, makes mobile channel in transmission in time and frequency signal and Angle caused the dispersion, such as time dispersion, frequency dispersion, Angle dispersion, and so on, thus multipath channel of communication with the characteristics of quality is very important, while the effect of multipath channel (the statistical properties become the focus of our research. According to different wireless environment, receiving signals envelope general subject to several typical distribution, such as Rayleigh distribution, rice distribution and Nakagami-m distribution. )

压缩包内源码的主要用途是：OOK调试方式的matlab实现(The main purpose of this source is the matlab implementation of OOK debug mode)

We present in this paper a new method for blind source separation which is adapted to the case where the sources have different morphologies. We show that the morphology diversity concept leads to a new and very efficient method, even in the presence of noise.

matlab 仿真最大比合并分集与选择式合并分集接收性能比较(matlab simulation maximal ratio combining diversity with selective combining diversity receiver performance comparison)