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应用MATLAB语言编写低通滤波器,对含噪图像作低通滤波处理( Using the MATLAB language compilation low pass filter, to contains chirp the image to make low-pass filtering processing )

SCM code, including code, picture, application.

量子遗传算法源程序，采用的是权重系数法求解(Quantum Genetic Algorithm source code, using the weight coefficient method)

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)

512x512 Benchmarks for Image Processing

关于matlab简单的教程 关于matlab简单的教程(course for matlab)

Radio communcation Matlab source codes problems

LM滤波器组程序，用于图像纹理提取和处理，共有48个滤波器组成，在图像处理中应用(LM filter banks in matlab )

对陀螺输出噪声误差进行数值分析，提高精度(umerical analysis was carried out on the gyro output noise error, and improve the precision)

说明：  均值类恒虚警检测器（ML-CFAR），包含了平均检测器（CA-CFAR）和最值检测器（GO-CFAR和SO-CFAR），运算速度快，非常适合于单目标的检测(detectors based on mean level constant false alarm rate (ML-CFAR))