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遗传算法 求下列函数的最大值 obj(x)=x.*(10-x).*sin(2*pi*x), xin[0,10].(Optimization problem by genetic algorithm of a function obj(x)=x.*(10-x).*sin(2*pi*x), xin[0,10].)

现在数字信号处理相关，本章主要讲述自适应滤波器(Modern digital signal processing)

matlab 7.0下册，还有上册，大家一起下载吧。很有用的数学工具。(matlab 7.0 Book, but also on the list and we can work together to download it. Useful mathematical tool.)

OFDM模拟，包括matlaB程序及详细说明(OFDM simulation, including detailed description of procedures and matlaB)

瑞利信道下四节点单中继网络中采用分层调制的误码率(the BER of hierarchical modulation in four node one rayleign networks in ralyleign fading channel )

this file is a simulation of simple boost control in z_zource inverter

说明：  压缩感知（Compressive Sensing(CS)，或称Compressed Sensing、Compressed Sampling）。该理论指出：对可压缩的信号可通过远低于Nyquist标准的方式进行采样数据，仍能够精确地恢复出原始信号。该理论一经提出，就在信息论、信号/图像处理、医疗成像、模式识别、地质勘探、光学/雷达成像、无线通信等领域受到高度关注，并被美国科技评论评为2007年度十大科技进展。(Compressed Sensing (Compressive Sensing (CS), known as Compressed Sensing, Compressed Sampling). The theory states: compressible signal can be much lower than the Nyquist criterion for sampling data, and still be able to accurately recover the original signal. The theory was put forth, to receive significant attention in the field of information theory, signal/image processing, medical imaging, pattern recognition, geological exploration, optical/radar imaging, wireless communications, and Technology Review named the 2007 top ten scientific and technological progress.)

一个强大的自适应boosting算法，十分经典，matlab实现，绝对超值，可以改编成其它语言。(A powerful adaptive boosting algorithm, very classic, matlab realize, absolute value, and can be adapted to other languages​ ​ .)

浅层海洋环境由信源组成声源，海洋形成信道，和水听器阵列组成接收器。在这个传播模型中，信源，信道和接收信号这三者，通常能知二求一，具体应用诸如利用海洋环境参数和接收到的信号来定位声源，或者通过计算发射信号和接收信号之间的差异，反演海洋环境参数。 而在接收器方面，我们通过设置各向同性的水听器阵列。通过算法和处理器，我们便能量化模型，传统是处理器主要基于接收信号是高斯信号，而海洋中存在着大量的有色噪声。本课题的研究目的便是在前人的基础上，在海洋声层析成像的背景下，在信源与接收器阵列之间，引入信号的高阶统计量，对非高斯过程的水下信号源进行定位，并提高算法的性能和准确性。 利用非高斯过程的高阶累积量不恒为零的特点，滤去高斯有色噪声对信号的影响，其又包含了信号的相位信息，便可以极大的优化匹配场处理过程的性能和准确性。(After receiving signals based on high order cumulant matched field processor after matched field localization, the positioning effect will be more accurate, sidelobe suppression more effectively, and compared with other traditional matched field processor in low SNR environment, it can position more accurately.)

也试着把《MATLAB在振动信号处理中的应用》中的ZFFT改为函数，方便其它坛友的调用，并提供调试程序和数据(Also tried to " MATLAB in Vibration Signal Processing" ZFFT change in function to facilitate the other Friends of the altar call, and debug programs and data)