code-QAM

Optimum MUD for DS-CDMA in Multi-Path Fading Channel 2 USERS( Optimum MUD for DS-CDMA in Multi-Path Fading Channel 2USERS)

ofdm and its use and how to simulink it in matlab

MATLAB SIMULINK建模与仿真实例精讲_程序(MATLAB SIMULINK)

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 )

1.深入理解最佳基带系统的概念。 2.掌握用Matlab进行通信系统仿真的方法。(digital low-pass filter)

这个文件是语音处理里面的端点检测源程序，可以直接编译运行，效果还比较好(This document is a voice processing of endpoint detection inside source, you can direct the compiler to run, the effect is still relatively good)

point process of pose estimation

在盲辨识系统中，非常关键的是如何获得最好的辨识效果，这里采用了多种方法，通过系统建模，并比较方法(In blind identification system is critical to identify how to get the best effect, this uses a variety of ways, through system modeling, and comparison)

改变图像的灰度级数，通过输入的数值确定灰度级(change degree of gray )

this is classifier using Euclidean distance measure for palm print recognition