Weibull

Qam 16 in rayleigh channel

拓扑优化程序，添加两种新的Heaviside敏度过滤方法。(Topology optimization program, adding two new Heaviside sensitivity filters.)

矩形排样的剩余矩形优化算法。在matlab中的实现。(The rectangle layout of the remaining algorithm, MATLAB optimization and efficient use of raw materials )

1. 给一段原始的语音信号（可以是自己录制的一段语音），加上一频率为3.8kHz的高频余弦噪声和频率为3.6kHz的高频正弦噪声（幅度自己可以选择），用窗函数设计一滤波器（要求最小阻带衰减为50dB）对加噪后的语音信号进行滤波，画出滤波器的频率响应曲线，画出滤波前后的时域图和频谱图。 需要用到的函数： fir1 用窗函数设计FIR滤波器的函数 2. 用GUI设计一界面（如图1所示）完成如下功能： 1） 输入一语音信号，画出语音信号的时域图和频谱图； 2） 对语音信号加噪处理，画出加噪后的时域图和频谱图； 3） 给定滤波器的性能指标，采用几种不同的方法设计滤波器对加噪信后进行滤波，画出各滤波器的频率响应曲线，画出滤波后的时域图和频谱图。 (1. to some of the original speech signal (which can be a voice you record yourself), plus a cosine frequency of 3.8kHz frequency noise and frequency of 3.6kHz frequency sinusoidal noise (in the range that they can choose), with a window function to design a filter (requires a minimum stop band attenuation is 50dB) after adding noise to the speech signal is filtered, the filter frequency response curve to draw, draw diagrams and time-domain spectrum before and after filtering. Need to use the function: function fir1 with window function design FIR filter design 2. Using a GUI interface (Figure 1) complete the following functions: 1) an input speech signal, the speech signal in the time domain to draw graphs and spectrum 2) adding noise to the speech signal processing, draw diagrams and time-domain plus noise spectrum after 3) to set the filter performance, using several different methods designed to filter letter after adding noise filtering, draw the frequency response curve of each )

使用拉亚普诺夫指数的公式，采用了小波去噪的思想，基于互功率谱的时延估计，最小均方误差（MMSE）的算法，自己编的5种调制信号，利用贝叶斯原理估计混合logit模型的参数。

自己编的，经典的功率谱减法程序，不带VAD检测的程序(Own, the classic power spectrum subtraction procedure, non-VAD detection procedures)

image processing by interpolation

Matlab algorithm to calculat Lyapunov exponent from ODE

对文献《Simulation Models With Correct Statistical Properties for Rayleigh Fading Channels》提出的Rayleigh信道模型的仿真，仿真了信道的自相关，互相关，以及四阶统计量。仿真结果与文献一致。目前PDF的仿真的效果不好，还未奉上。关于LCR,AFD也没有做。但是总体说来，目前的仿真结果与文献是完全符合的。对应的文献也放到压缩包了。(This matlab code for paper, <Simulation Models With Correct Statistical Properties for Rayleigh Fading Channels>.This papar is very popular in channel estimation simulation.The paper is also upload with the code.)

应用条件随机场知识对图像进行分割，场景理解。(Application CRFs knowledge of image segmentation, scene understanding.)