numerical-analysis

总体最小二乘方法的谐波频率估计。线性参数估计问题广泛存在于众多科学与工程学科，如信号处理、自动控制、系统理论、物理、化学工程、统计学、经济学、生物学、医学和军事工程等。最小二乘方法是最常用的线性参数估计方法。(Total least squares method of harmonic frequency estimation. Linear parameter estimation problem is widespread in many scientific and engineering disciplines, such as signal processing, automatic control, systems theory, physics, chemical engineering, statistics, economics, biology, medicine and military engineering. Least-squares method is the most common linear parameter estimation methods.)

Electric Power Systems Analysis and Control

介绍了数字通信中的QPSK调制解调的原理，通过用Matlab编写脚本程序对QPSK通信系统的发射和接收过程的具体实现进行模拟仿真，绘出信号在理想信道和加噪信道中模拟传输时的时域图，并对各模块进行了频谱分析，所得到的结果与 理论基本相符，对于理解QPSK系统的性能并在系统的实际应用上作进一步的设计，提供了有效的参考依据。 (The introduction was done with the principle of the QPSK modulation and demodulation in digital communications，a script was written by using Matlab program to CalTy out a simulation of the QPSK communication system．which contains the concrete realization of transmit and receive process．The time-domain diagram is drew separately when the signal transmits in the ideal channel and in the channel with noise，spectral analysis of each module is also done，the results obtained with theoretical results in the main，which provides an effective frame of reference for understanding the performance of QPSK systems，and the practical application in the system to make further designed．)

fuzzy clustring and fcm

人脸识别算法基本代码matlab源代码1(face recognition)

本程序为一个对流层延迟修正模型的matlab代码，可以较为准确的修正对流层延迟修正(This program is a tropospheric delay correction model matlab code, can provide a more accurate correction tropospheric delay correction)

Matlab教学案例，通过实例编程，实现教学(Matlab teaching cases, by way of example programming, teaching)

本文主要是介绍GAMBIT建模的基元和过程(GAMBIT modeling are introduced and the process of primitive)

说明：  Fast kurtogram 的matlab程序，在原始程序上增加了改进(The matlab program of fast kurtogram is improved on the original program)

这是压缩感知领域，一个重构算法--子空间追踪方法，此方法是基于OMP之后的改进算法。(This is a compressed sensing area, a reconstruction algorithm- subspace tracking methods, this method is based on the OMP after the improved algorithm.)