odedemo

来自maxim公司的噪声系数测试方法，包括详细的图表信息。(Noise from the maxim' s testing methods, including a detailed chart information.)

两个模拟信号的分离与模拟，并通过图例说明问题(two signal to seperat)

firfilt.m for filtering

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 )

核直接线性判别方法（kdda），主要用于人脸识别，模式分类。(nuclear direct linear discriminant method (kdda), mainly used for face recognition, pattern classification.)

说明：  数据通道剥离伪码后的载频估计,数据通道剥离伪码后的载波估计问题。对直接序列扩频系统的数据通道，假定接收设备已“完美”地锁定接收信号伪码，并实现了伪码剥离其中，信号幅度、电文、载波多普勒和载波相位均未知。电文的速率为10Hz。由于信源与接收端信号传输时延的不确定性，收到的信号电文是从某个未知时刻开始的。 利用数据文件 估计信号幅度、载波多普勒和载波相位(Data channel after stripping pseudo-code carrier frequency estimation)

Weighted covariance function. Allows to give more weight on recent observations.

关于模糊控制与卡尔曼滤波结合的相关论文，包括模糊控制，模糊pid等等(Kalman filter on the combination of fuzzy control and the related papers, including fuzzy control, fuzzy pid, etc.)

Wagner-Whitin算法的matlab语言程序(Wagner-Whitin Algorithm use matlab)

Range Kutta 2 method used for solving ordinary differential equation.