l2dwave

用部分传输序列算法降低OFDM信号峰均功率比算法(Reduction algorithm with Partial Transmit Sequence OFDM signal PAPR Algorithm)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

说明：  PWM整流器，包括电流环。电压环。孤岛检测(PWM rectifier, which includes a current loop. Voltage loop. Islanding detection 双语对照)

局部放电试验所采集的信号中往往混有白噪声、周期干扰信号去除。此处采用常用db系列小波中的db6小波进行9尺度的多分辨分解后，根据白噪声能量特性，估算各尺度的阈值大小，采用硬值进行处理，后进行重构。(Partial discharge test of the signal collected is often mixed with white noise, periodic interference signal removal. Here the use of commonly used wavelet db Series DB6 wavelet carried out in the 9-scale multiresolution decomposition, based on the energy characteristics of white noise to estimate the scale threshold size, the use of hard-value deal, after the remodeling.)

说明：  小波神经网络的MATLAB原代码，十分经典，大家一起学。(WNN MATLAB source, classical, we must all learn.)

说明：  基本蚁群算法求解TSP问题 该程序是运行过的没有问题的(Basic Ant Colony Algorithm for TSP problem is to run the program had no problem)

using matlab, for prediction systems

系统辨识中的限定记忆法，用于系统参数辨识(Limited memory in the system identification method for system parameter identification)

基于clean算法的雷达多目标分离与提取(Based on the clean radar multi-target separation and extraction of the algorithm)

说明：  原理：以待处理的像素作为中心，取一个nXn的模板，在模板中选择k个与待处理像素的值最接近的像素，将这k个像素的均值替换原来的像素值。 假设n=3，k=5，调用方法：b = KNNMeanFilter(a, 3, 5)(Principle: to be treated as the center pixel, take a nXn template select the template and the pending k-nearest pixel values of pixels, this k pixels mean replacing the original pixel value. Assuming n = 3, k = 5, call the method: b = KNNMeanFilter (a, 3, 5))