AuditoryToolbox

无线信道阴影效应和多径效应的MATLAB仿真程序，来自 Modeling the Wireless Propagation Channel(Shadowing and Multipath)

该程序仿真QPSK传输系统，有助于对基本传输方式研究的学习。(Simulation program to realize QPSK transmission system)

1、 降噪步骤： （1） 一维信号的小波分解。选择一个小波并确定分解的层次，然后进行分解运算。 （2） 小波分解高频系数的阈值量化。对各个分解尺度下得高频系数选择阈值进行软阈值量化处理。 （3） 一维小波重构。根据小波分解的最底层低频系数和各高频系数进行一维小波重构。 matlab里面有关于去噪的函数，你可以找一下~~ 这说的只是基本原理，希望有所帮助(1, noise reduction steps: (1) one-dimensional signal wavelet decomposition. Select a wavelet decomposition level and determining, and then divide the operation. (2) high coefficient wavelet thresholding. For each decomposition scales have high coefficient selection threshold soft threshold quantization. (3) one-dimensional wavelet reconstruction. According to the lowest level of the low frequency wavelet coefficients and high frequency coefficients of each one-dimensional wavelet reconstruction. There are about denoising matlab function, you can find some ~ ~ This says just the basic principle, we hope to help)

基于灰度投影的人脸特征定位--matlab(Based on gray-scale projection of facial feature location- matlab)

仿真移动机器人避障的实验,是机器人在制定的环境中避开障碍，到达目的地。(Simulation of mobile robot obstacle avoidance experiments, is in the formulation of the robot environment to avoid obstacles, reach their destinations.)

数字聚类识别,基于图像模式识别-VC++技术实现书的基础上完成的(Number of cluster identification, image-based pattern recognition technology-VC++ based on the completion of the book)

the noise deteriorates the interpolation performance in digital images, it is effective to employ denoising prior to the interpolation. In this paper, we propose a novel interpolation framework in which denoising and image sharpening methods are embedded. In the proposed framework, the image is first decomposed using the bilateral filter into the detail and base layers which represent the small and large scale features, respectively. The detail layer is adaptively smoothed to suppress the noise before interpolation and an edge-preserving interpolation method is applied to both layers. Finally, the high resolution image is obtained by combining the base and detail layers. Experimental results show that the proposed algorithm outperforms the conventional methods

Unscented Kalman Filter (UKF) exemplified on FitzHugh-Nagumo neuron dynamics. Voltage observed, currents and inputs estimated. FitzHughNagumo.m is the main program which calls the other programs. If you use these programs for your publications etc., please refer to H.U. Voss, J. Timmer & J. Kurths, Nonlinear dynamical system identification from uncertain and indirect measurements, Int. J. Bifurcation and Chaos 14, 1905-1933 (2004). I will be happy to email this paper, which contains a tutorial about estimation of hidden states and unscented Kalman filtering. For commercial use and questions, please contact me.

记忆多项式数字预失真，能够完成功率放大器的预失真，效果良好。(Memory polynomial predistortion, to complete the pre-distortion power amplifier with good results)

说明：  协作通信下AF协作模式的MATLAB仿真代码(cooperative communication)