u_f_svpwm

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)

说明：  cma自适应恒模算法，由接受信号估计信道的自适应恒模算法(cma constant modulus adaptive algorithm, to receive signals from the adaptive channel estimate constant modulus algorithm)

《matlab统计分析与应用：40个案例分析》一书的全部代码(Matlab statistical analysis and application: 40 case studies of a book all the code)

该程序和文档研究了在单径瑞利信道中，BPSK的误码率性能，画出比特信噪比与误码率的关系曲线，具体公式在文档中给出。(The study of the relationship between programs and documents in a single path Rayleigh channel curve, the BER performance of BPSK, draw the bit error rate and signal to noise ratio, the specific formula is given in the document.)

本课件为通信专业本科学习matlab入门课件，学习简单，适用范围广并且附有实际编程例子代码。而且还有易懂的simulink仿真(The courseware for the communications matlab introductory undergraduate learning courseware, learning simple, with a wide range of application and the actual programming code examples. But also to understand the simulink)

分析ssvep脑电信号的程序，有整体框架(SSVEP EEG signal analysis procedures, there is an overall framework)

对一维噪声信号进行信号处理，设计软阈值去噪、硬阈值去噪、以及多种阈值规则(to solve some problems)

说明：  用于画出lorenz的利亚普诺夫指数，该文件算法优秀，比同类程序运算速度快很多(Draw for the Australian Punuo Fu Index lorenz)

子波高分辨谱估计方法及其在毫米波雷达目标一维距离成像中的应用(Wavelet resolution spectral estimation method and its application in the millimeter-wave radar target from imaging)

可用于降噪，压缩传感等，迭代阈值求解最优解，(Can be used for noise reduction, compression sensing and iterative threshold to solve the optimal solution)