ARPS-users-guide

这是本很好的Matlab图像处理实验指导书，Word格式，一共六个实验，每个实验有具体的matlab编码例子及具体讲解(This is a good guide book Matlab image processing experiments, Word format, a total of six experiments, each experiment has specific and concrete examples to explain matlab code)

The file introduces a modified method for maximum power point tracking of a photovoltaic array by the short circuit method.

DCT and DST funnctions in MATLAB for arbitrary dimensions

BPSK调制与解调的simulink仿真模型(the simulation model for BPSK modulation and demodulation)

说明：  用Hilbert-Huang变换进行脑电信号处理可以细致的看到脑电信号的频率变化规律。 (With the Hilbert-Huang Transform EEG signal processing can see detailed changes of the frequency of EEG.)

a matlab code for easy

捷联惯导航姿系统C语言实现，可以方便的得到飞机的飞行姿态。(Navigation position system SIMU program development, you can easily get the aircraft attitude.)

利用小波分析对图像进行二级分解和重构的Matlab代码，带有中文注释，包括哈尔小波、上/下采样子函数(Using wavelet analysis to the image of the secondary decomposition and reconstruction of the Matlab code, with Chinese translations, including the Haar wavelet, up/down sampling Functions)

文中基于耦合模理论和简化的阶跃折射率单模光纤三层模型的包层模理论，提出了长周期光纤光栅的传输谱特性仿真的主要步骤及 matlab程序实现，为长周期光纤光栅的数值仿真提供了一种简便的方法(Text-based coupled mode theory and a simplified three-step-index single-mode fiber cladding mode theory model, proposed long-period fiber grating transmission spectrum characteristics of the main steps and matlab simulation program implementation, as the value of long-period fiber grating Simulation provides an easy way to)

在源信号和传输信道未知情况下，只利用接收天线的观测数据抽取源信号，称为盲信号分离.盲信号分离不仅是信号处理界、而且也是神经网络界的研究热点课题，在无线数据通信、雷达、图像、语音、医学以及地震信号处理等领域都具有广阔的应用前景.采用自然梯度法和分阶段学习法。(The source signal and transmission channel is unknown circumstances, using only observational data extraction receiving antenna source signal, known as blind signal separation. Blind signal separation is not only the signal processing community, but also a neural network hot topic in research circles, in the wireless data communications , radar images, audio, medical and seismic signal processing and other fields have broad application prospects. and the phases using the natural gradient learning method.)