API

本代码主要实现非线性环境下的势均衡多目标多伯努利滤波器的ukf实现，能有效地解决杂波环境下的多目标跟踪问题。(This code mainly realize the potential of nonlinear environment balanced multi-objective multi-bonuli filter ukf achieve, can effectively solve the problem of multi-target tracking clutter environments.)

matlab程序画图，常见分形图，function cantor(A,B) c=1 p=0 figure hold on plot([A(2) B(2)],[A(1) B(1)], r* ) while norm(A(1,:)-B(1,:))>=1 C=[] D=[] for i=1:size(A,1) a=A(i,:)+(B(i,:)-A(i,:))/3 b=A(i,:)+2*(B(i,:)-A(i,:))/3 C=[C A(i,:) b] D=[D a B(i,:)] end A=C B=D p=p+1 (matlab program drawing, common fractal images function cantor(A,B) c=1 p=0 figure hold on plot([A(2) B(2)],[A(1) B(1)], r* ) while norm(A(1,:)-B(1,:))>=1 C=[] D=[] for i=1:size(A,1) a=A(i,:)+(B(i,:)-A(i,:))/3 b=A(i,:)+2*(B(i,:)-A(i,:))/3 C=[C A(i,:) b] D=[D a B(i,:)] end A=C B=D p=p+1 )

超声波信号自适应消噪和滤波程序，可用于除噪，用于去除背景环境影响(Adaptive noise cancellation and filtering procedures can be used for noise removal)

说明：  Matlab从入门到精通中所有的源程序。(Matlab from entry to master all of the source.)

根据MATHWORKS的plot3c改编，绘制色彩渐变曲线。转自棒棒(Plot3c in accordance with the MATHWORKS adaptation, gradual curve drawing color. Private Bang Bang)

使用pMatlab改写BPSK和QPSK 的Monte Carlo 仿真程序。在多核PC上实现MC仿真速度翻倍（附原程序）(PMatlab rewritten using BPSK and QPSK the Monte Carlo simulation program. In the realization of multi-core PC on MC simulation speed doubled (with the original program))

Total variation grayscale and color image denoising

Model Predictive Control Eduardo F. Camacho and Carlos Bordons

噪声语音信号的处理。能够事项语音信号的自动去噪处理。效果良好。是M文件。语音信号要自己录制。( The noise speech signal processing. Automatic speech signal denoising. The effect is good. Is the M file. The speech signal to be recorded. The noise speech signal processing. Automatic speech signal denoising. The effect is good. Is the M file. The speech signal to be recorded. )

能量检测，根据以URKOWITZ 在1967年发表的能量检测文章以及Digham 2003、Ghasemi 2007发表的一系列文章为参考， 在AWGN信道中，给定SNR下，先产生一个原始信号（单音或者BPSK基带信号），然后叠加高斯噪声， 再进行能量检测(Energy detection, according to URKOWITZ the energy released in the 1967 test articles, and Digham 2003, Ghasemi 2007 series of articles published as a reference, in the AWGN channel, for a given SNR, the first generating an original signal (mono or BPSK baseband signal), and then superimposed Gaussian noise, then the energy detection)