SQP-Algorithm

位场数据处理完整程序包，完整好用，多多指教!(The complete program for potential field data processing.)

很多源代码的集合，我个人觉得比较有用，大家看看先。(source code pool, I personally think that the more useful, we look at first.)

An Optimal Design Methodology of an Interleaved Boost Converter for Fuel Cell

it s a software made of

有关风机模型包括的矢量控制内容，有关的人可以参考(On the fan model, including the contents of the vector control, the person can refer to)

人工神经网络中用Oja网络求解模式的主分量问题(Oja networks using artificial neural network model of the main components of problem solving)

Extremely high performance radio-access technology that offers full vehicular speed mobility and that can readily coexist with HSPA and earlier networks. OFDM/OFDMA technology is introduced for the LTE downlink, supporting very high data rates of up to 300Mbps while Single-Carrier FDMA (SC-FDMA) is used in the uplink with data rates of 80Mbps possible. Additionally, LTE supports operation both in paired and unpaired spectrum (FDD and TDD) using channel bandwidths of approximately 1.4MHz up to 20MHz. The frequency domain scheduling can be done in OFDMA. One of the main challenges in OFDMA is the high peak-to-average radio of the transmitted signal, which requires linearity in the transmitter. The linear amplifiers have low efficiency therefore, OFDMA is not an optimized solution for a mobile uplink where the

A good Code for Wiener filter.. Tested Ok!

教你如何将点M文件制作成EXE文件，并且让没有安装MATLAB的电脑也可以使用本EXE文件(Teach you how to make the point M files into EXE files, and MATLAB is not installed on the computer so that you can use the EXE file)

　传统的信号理论，是建立在Fourier分析基础上的，而Fourier变换作为一种全局性的变化，其有一定的局限性。在实际应用中人们开始对Fourier变换进行各种改进，小波分析由此产生了。小波分析是一种新兴的数学分支，它是泛函数、Fourier分析、调和分析、数值分析的最完美的结晶；在应用领域，特别是在信号处理、图像处理、语音处理以及众多非线性科学领域，它被认为是继Fourier分析之后的又一有效的时频分析方法。 小波变换与Fourier变换相比，是一个时间和频域的局域变换因而能有效地从信号中提取信息，通过伸缩和平移等运算功能对函数或信号进行多尺度细化分析（Multiscale Analysis），解决了Fourier变换不能解决的许多困难问题。(The traditional signal theory, is based on Fourier analysis based on Fourier transform, and as a kind of global change, it has some limitations. In the actual application of Fourier transform people began to various improved, wavelet analysis produced. Wavelet analysis is a new branch of mathematics, it is functional, Fourier analysis, harmonic analysis, numerical analysis of the crystallization of the most perfect In the fields of application, especially in signal processing, image processing, audio processing as well as many nonlinear scientific fields, it is considered to be the Fourier analysis after another effective time-frequency analysis method. Wavelet transformation and Fourier transform, compared is a time and frequency domain and the local transform can effectively extract information from signal, through the telescopic peace shift etc operation function of the function ? )