AC-QOS-matlab

LAB2RGB Convert an image from CIELAB to RGB function [R, G, B] = Lab2RGB(L, a, b) function [R, G, B] = Lab2RGB(I) function I = Lab2RGB(...)

图像反转/灰度线性变换/非线性变换/直方图均衡化,源代码.(Image reversal/gray linear transformation and nonlinear transform and histogram equalization, the source code)

用于图像处理的三类边缘保护滤波器，导向滤波、双边滤波、联合双边滤波。(Three types of edge protection filter for image processing-oriented filtering, bilateral filtering, joint bilateral filtering.)

说明：  Estimating the positions of sensor nodes is a fundamental and crucial problem in ad hoc wireless sensor networks (WSNs). In this paper, an accurate node localization method for WSNs is devised based on the weighted least squares technique with the use of time-of-arrival measurements. Computer simulations are included to evaluate the performance of the proposed approach by comparing with the classical multidimensional scaling method and Cram´ er-Rao lower bound.

实现机器人动态收敛（多点收敛），GUI界面，机器人个数自行设定，AVI生成，动态仿真！(Robot dynamic convergence (convergence of multi-point), GUI interface, the number of robots on their own set, AVI generation, dynamic simulation! )

说明：  LMS语音信号去噪matlab代码，可以对一段较长的语音信号进行去噪(LMS speech signal denoising matlab code, you can denoise a long speech signal)

用MATLAB语音实现产生线性同余伪随机数发生器(Generated using MATLAB voice to achieve a linear congruence pseudo-random number generator)

说明：  混沌时序多步预测函数的MATLAB程序,对于研究混沌时间序列的朋友来说是个好程序(Chaos forecast sequential multi-step procedures MATLAB functions for research chaotic time series of friends is a good procedure)

pattern recognition system

无线传感器网络定位用到的无线传输模型 Regular Model, Logarithmic Attenuation Model, DOI Model, RIM Model (Wireless sensor network localization using wireless transmission model, Regular Model, Logarithmic Attenuation Model, DOI Model, RIM Model Achieve functional distance and transmission attenuation swap ~~~~~~~~~~~~~~~~~~~~~~Regular Model~~~~~~~~~~~~~~~ In this model, the radio range is a circle ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ReceivedSignalStrength=SendingPower-PathLoss e.g, RSS=Pt-Pl(d0)-10*η*log10(dist/d0) Pt:transmit power pl(d0):the pass loss for a reference distance of d0 ηis the path loss exponent above parameters are saved in ../Parameters_Of_Models.mat dist:distance between sender and receiver(m) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ typical value:Pt=0-4dBm(max),Pl(d0)=55dB(d0=1m),η(2~4)=4(indoor,outdoor) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~Logarithmic Attenuation Model~~~~~~~~~ In this model, the radio range is a circle ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ReceivedSignal)