digital-signal-processing

递归式最小均方（RLS）算法的基本思想是力图使在每个时刻对所有已输入信号而言重估的平方误差的加权和最小，这使得RLS算法对非平稳信号的适应性要好。与LMS算法相比，RLS算法采用时间平均，因此，所得出的最优滤波器依赖于用于计算平均值的样本数，而LMS（NLMS）算法是基于集平均而设计的，因此稳定环境下LMS（NLMS）算法在不同计算条件下的结果是一致的(Recursive least-mean-square (RLS) algorithm for the basic idea is to try to make in every moment of all the input signal in terms of re-evaluation of the weighted squared error and the smallest, which allows non-stationary RLS algorithm for adaptive signal better. Compared with the LMS algorithm, RLS algorithm uses the average time, therefore, the resulting optimal filter depends on the used to calculate the average number of samples, and the LMS (NLMS) algorithm is designed based on set average, and therefore a stable environment LMS (NLMS) algorithm in different conditions, the results of the calculation is consistent)

Implementation of Digital predistortion in simulink using Saleh Memoryless Non-linearity and Least Squares method. I modified inbuilt OFDM block with Raised cosine block

自编的采用Hough变换的方法估计运动模糊图像的方向，含一个M文件，注释详细，希望对学习图像复原的朋友有一些帮助。(The use of self Hough transform to estimate the direction of motion blurred images, with an M file, comment in detail, hoping to restore the images to the friends learn that some help.)

calibration matlab code

完整的GSM信道编码 为话音信道的卷积编译码 还有交织(integrity of the GSM channel coding for voice channel convolution encryption also intertwined)

该程序利用多相滤波结构实现了宽带信号的信道化，相比传统信道化方法，节省了资源，提高了效率。(The program uses the polyphase filter structure to achieve a broadband signal channelization, compared to traditional methods channel, save resources and improve efficiency.)

line codes: bipolar of a bits secuence

说明：  雷达数据处理程序，对于虚假目标的产生，采用在距离、方位角、俯仰角三个方面分别产生随机噪声。(There are six tracks in the main function, which are straight track 1, circular track, straight track 2, straight track 3, figure 8 Track and ellipse track. The generation method is to first generate the track in rectangular coordinate system according to the motion equations of various tracks, in which 8-word track and ellipse track are generated by calling the functions of eighttrack and ellipsetrack respectively, and then use the coordinate system transformation to convert the value of rectangular coordinate system into the value of polar coordinate system, that is, distance, azimuth and pitch angle. It is worth noting that the image should be considered in the transformation process)

3D registration using Matlab

convolution signal continue