lowpass

Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification and regression problems .It can better deal with the small sample, nonlinear and (Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification and regression problems. It can better deal with the small sample, nonlinear and)

fir filter design for digital signal proccessing

matlab编写的一个音频加密的程序，格式要求wav的形式，有运行结果。(matlab prepared an audio encryption procedures, the form of wav format requirements, and the results.)

fft快速滤波，用fft实现序列的快速滤波(fft fliter)

MATLAB的EMD工具箱，主要是对信号进行IMF分解，然后进行希尔伯特变换。得到信号的瞬时频率，并画出能量图。 使用是解压到matlab的work里面即可。(MATLAB toolbox of EMD, decomposition IMF, then Hilbert transform signal. The instantaneous frequency of the signal, and draw the energy diagram. Use extract to matlab can work inside.)

denoising of cardic signal by digital fir filters

小波分析与信号处理 理论、应用及软件实现(Wavelet analysis and signal processing theory, applications and software)

blind equalization for adaptive filtering

滑模变结构的控制系统仿真 基于龙哥库塔法 matlab实现(Sliding mode control system simulation matlab to achieve)

说明：  每个传感器具有一定的范围和精度，而且周围环境可能对它们产生干扰。即单传感器只能提供部分不精确的信息，从而不能排除对外界环境描述的歧义性。鉴于各传感器性能上的差异表现出的互补性，如果综合各个传感器的信息，就能得到比单一传感器所能提供的更准确可靠的信息。简言之，与单一传感器相比，多传感器数据融合由于信息的冗余性和互补性存在很多方面的优势。 多传感器融合(Each sensor has a certain range and accuracy, and the surrounding environment may interfere with them. That is to say, a single sensor can only provide some inaccurate information, so it can not rule out the ambiguity of the description of the external environment. In view of the complementarity of the differences in the performance of each sensor, if we synthesize the information of each sensor, we can get more accurate and reliable information than a single sensor can provide. In short, compared with a single sensor, multi-sensor data fusion has many advantages due to the redundancy and complementarity of information.)