WAVE

matlab code for acrobat

KALS is an algorithm of robust hybrid linear modeling. It is designed to remove impulsive noise (denoising) and scratches (blind inpainting) from images.

qam的matlab程序。m文件，非simulink。各个模块比较全面，希望有所帮助(qam matlab)

An implementation of Unscented Kalman Filter for nonlinear state estimation. (Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system. The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF. For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)

code pso-svm matlab for optimazation.

说明：  简单实用的matlab程序实例，大家有什么不懂的可以问我啊(Matlab procedure simple and practical examples, we can not understand what asked me ah)

face clarification matlab code

一个很好的学习图像处理的函数的例子程序，对于初级学习者来说，有很好的帮助，对于初学习者非常适合！(a good learning image processing function examples procedures for primary learners, good help, very suitable for early learners!)

It is a matlab code for K Nearest Neighbor algorithm.

BPSK 与QPSK 调制解调系统的Matlab 仿真程序,发送滤波器与接收滤波器均为根升余弦滚降滤波器；信道噪声为加性高斯白噪声 绘制BPSK 与QPSK 调制下的误码率与信噪比曲线图，并与理论曲线进行对比(BPSK and QPSK modulation and demodulation system Matlab simulation program, send and receive filters are root raised cosine filter roll-off filter channel noise, BER and SNR draw BPSK and QPSK modulation under additive white Gaussian noise than the graph and compare with the theoretical curve)