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利用预测的方法实现图像的压缩，可以应用于光谱图像谱间去相关(The use of projected images of the compression method can be applied to spectral-spectral images to the relevant)

two dimensional random walk is generated

波达方向（Direction Of Arrival）估计，又称为谱估计（spectral estimation）、波达角（Angle Of Arrival）估计。一个信源有很多可能的传播路径和到达角。如果几个发射机同时工作，每个信源在接收机处形成潜在的多径分量。因此，接收天线能估计出这些到达角就显得很重要，目的是破译出哪个发射机在工作以及发射机所处的可能位置。通过测量辐射信号的波达方向（DOA全称Direction Of Arrival）或波达角（AOA）来估测辐射源的位置。理论上这种估计只需要两个接收阵元就可以确定辐射源的位置，但在实际中，由于受到角度分辨率、多径和噪声限制，所需阵元通常要多于两个。DOA定位技术原理是利用接收机处的阵列天线和波达方向（DOA）估计技术来确定一个从接收机到信源的波达方向线，即为方向线（LOB），最后利用多个接收机估计的DOA进行三角测量，方向线的交点就是信源的估计位置。(DOA (Direction Of Arrival) estimation , also known as spectral estimation (spectral estimation), angle of arrival (Angle Of Arrival) estimation. There are many possible sources a propagation path and the angle of arrival . If several transmitters simultaneously, a potential source for each multipath component at the receiver. Therefore, the receiving antenna can estimate the angle of arrival becomes very important, which aims to decipher the location of the transmitter at work as well as possible in which the transmitter . By measuring the radiation signal DOA (DOA stands for Direction Of Arrival) or the angle of arrival (AOA) to estimate the location of the radiation source . Theoretically this estimate requires only two receiving array element can determine the position of the radiation source , but in practice , due to the angular resolution , multipath and noise limits , usually required more than two array elements . DOA positioning technology is the use of an array of antennas at)

简单说明用matlab实现OFDM调制与解调(Matlab to achieve a simple description of the OFDM modulation and demodulation)

基于粒子群优化与灰色系统理论的多目标优化程序，很好用(Based on Particle Swarm Optimization and gray system theory of multi-objective optimization process, a very good use)

《MATLAB数字信号处理与应用》一书的源代码,可以对应书本学习。("MATLAB and application of digital signal processing," source book, itis easy to use)

Robotic is a special engineering science dealing with designing, modelin& controlling and robots utilization.

这是一个简单的ML算法程序,采用了交替投影AP方法(this is a simple ML program on matlab)

说明：  过程信号的前馈-反馈型自适应盲分离算法：利用神经网络的自学习能力实现信号的盲分离已被证明是实现信号分离的一种有效方法,不同的神经网络模型对分离算法的效能将产生极大的影响 (The process of signal feedforward- feedback-based adaptive algorithm for blind source separation: Using neural networks to achieve self-learning ability of the blind signal separation has been proved to achieve the signal separation is an effective method, different neural network model of the separation algorithm efficiency will be have a great impact on the)

This Matlab program filters the baseline drift in ECG signals using different techniques: - median filtering - moving average filtering - first order Kalman Smoother Filter - first order zero-phase Lowpass filter - Bandpass filter using FFT filtering