Dspex

系统是关于用于移动通信中的窄带智能天线系统(Full system design for narrowband smart antenna systems used in mobile communications. )

利用matlba编写的遗传算法工具箱，功能强大，设置简单，运行效率高。非常好用的工具。(Matlba prepared using genetic algorithm toolbox, powerful, easy setup, operation and high efficiency. Very useful tool.)

本书介绍啦MATLAB 7.X版本与其他语言混合编程的方法，内容包含在MATLAB中以文件导入，导出数据，在Windows和Linux开发FORTRAN语言MEX文件(You introduce the book MATLAB 7.X version and other languages mixed programming methods, contents included in MATLAB in order to document import, export data, Windows and Linux at the development of FORTRAN language MEX file)

这个源码能够对ofdm系统进行仿真，得出仿真结果，计算误码率(This source can OFDM system simulation, simulation results obtained to calculate the bit error rate)

Sumas parciales de Fourier de la función diente de sierra. Sumas de fejer de la funcion salto. Sumas parciales de fejer de la funcion delta

递归核最小二乘算法，来至MIT大学的wingate教授，含6个源码，有实例！(dict_init.m- Part of the dictionary implementation used by KRLS algorithm. Can stand alone. dict.m- Part of the dictionary implementation used by the KRLS algorithm. Can stand alone. krls_init.m- Kernel recursive least squares initializer. krls.m- Main KRLS function. Repeatedly called with new data points. krls_query.m- Query the resulting estimator. krls_example.m- An example script showing the different parts. )

短期负荷预测通常是指24小时的日负荷预测和168小时的周负荷预测，本文主要预测的是日平均负荷，对于短期负荷预测(short-term load forecasts usually refers to the 24-hour daily load forecasting and 168 hours a week load forecasting, In this paper, the forecast is the average load, short-term load forecasting)

Cell Center users Interference calculation

自适应线谱增强算法通过自适应技术减弱噪声，并增强有用信号的功率谱。(This demonstration illustrates the application of adaptive filters to signal separation using a structure called an adaptive line enhancer (ALE). In adaptive line enhancement, a measured signal x(n) contains two signals, an unknown signal of interest v(n), and a nearly-periodic noise signal eta(n). The goal is to remove the noise signal the measured signal to obtain the signal of interest)

线性预测编码的实现 对于初学者来说还是比较好用的