STBCSimulation1

MATLAB的使用讲解，非常详细，包括各种工具箱的使用和SIMULINK的使用，对初学者很有帮助(The use of MATLAB to explain, in great detail, including the use of the toolbox and SIMULINK use, very helpful for beginners)

vb和matlab接口技术方法，用来实现两个软件的共同编程。(an method for vb and matlab)

CA_CFAR GO_CFAR SO_CFAR SWITCHING_CFAR(CA_CFAR GO_CFAR SO_CFAR)

matalab实现银行家算法自己写的仅供交流(for learn from each other ，the matlab code by myself .)

traitement d image pour faire la compression d image selon une méthode réversible

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 )

交互多模型 用于解决机动目标跟踪 问题(IMM for maneuvering target tracking problem solving)

使用bpsk完成ofdm的simulink的仿真！(Bpsk of ofdm using simulink completion of the simulation!)

MSK 完整的调制及解调程序，包含主函数和所有的调用函数。(MSK modulation and demodulation contain main function and subfunction.)

basic image processing