gmsk_8psk_equalizer

完成两个混合正弦信号的分离，分离是从频域的角度(Complete separation of the two mixed sine signal, separating from the perspective of frequency domain)

这是一个系统辨识例子，通过该例子可以深入理解系统辨识的相关知识及MATLAB编程(This is an example of system identification, through the example of system identification can be in-depth understanding and knowledge of MATLAB programming)

It is a particle filter tracker implemented in Matlab.

A dynamic estimation of channel is necessary before the transmission of the signals since the wireless channel is time–varying..we use MMSE method for channel estimation. The MMSE method calculates the following, MMSE channel estimator is designed to minimize the estimation MSE. The MMSE estimate the channel responses.

convolution using over add method

非线性滤波框架（nef）,包括了 EKF,UKF,DDF1 DDF2,CDF,迭代滤波器,随机积分滤波器, 组合滤波器, 集合卡尔曼滤波, 高斯和滤波，粒子滤波，自回归最小二乘方法(nonlinear estimation framework (NEF) toolbox A. Implemeted local estimation techniques： a1. (extended) Kalman filter a2. Unscented Kalman filter a3. Divided difference filter 1st order a4. Central difference filter a5. Divided difference filter 2nd order a6. Iteration filter a7. Stochastic Integration Filter B. Implemeted global estimation techniques b1. Ensemble Kalman filter b2. Gaussian sum filter b3. Particle filter)

说明：  Download the file porsch.tiff. Write an M-file that get the image and does the following tasks: i. Smooth the image with a 3×3 filter mask.

matlab智能算法案例之一，无导师学习神经网络(The regression and classification of Extreme Learning Machine. matlab intelligent algorithm case)

多变量神经元PID,隐含层为PID的三个参数，能实现在线调整(Multiply variable nnpid)

此程序参照了IEEE 802.11a ，使用了52个子载波。理论期望papr为52.但是由加扰器的存在，所有子载波很难一直的调制(Per the IEEE 802.11a specifications, we 52 have used subcarriers. Given so, the theoretical maximum expected PAPR is 52 (around 17dB). However, thanks to the scrambler, all the subcarriers in an OFDM symbol being equally modulated is unlikely. )