SAR456

algorithme FCM code matlab type .m

小波包分解重构程序，克服小波分解在高频段的频率分辨率较差(Wavelet packet decomposition and reconstruction program, overcome the wavelet decomposition in the poor frequency resolution in high frequency )

车牌识别， 源程序，车牌识别matlab 程序(License plate recognition source)

this is useful to generate noise in communication channels at the time of simulation

simulator of wireless sensor network operates under matlab(simulator of wireless sensor networkoperates under matlab)

自己做的： （一）用双线性变换法设计并用实验系统实现一个三阶的契比雪夫Ⅰ型低通数字滤波器，其采样频率Fs =8KHz，1DB通带边界频率为fp=2KHz。 （二）用双线性变换法设计并用实验系统实现一个三阶的契比雪夫Ⅱ型高通数字滤波器，其采样频率Fs =16KHz，阻带边界频率为fst =4KHz，As=20dB。 ((A) design using the bilinear transformation method and the experimental system of a third-order Chebyshev low-pass type Ⅰ digital filter, the sampling frequency Fs = 8KHz, 1DB passband boundary frequency is fp = 2KHz. (B) Bilinear transformation method used to design and use of the experimental system of a third-order Chebyshev type Ⅱ high-pass digital filter, the sampling frequency Fs = 16KHz, stopband boundary frequency fst = 4KHz, As = 20dB.)

三维激光点集及处理的matlab程序。。(And the processing procedures of MATLAB 3D laser point set.. )

基于matlab编写的数字高程模型DEM插值程序(a program for DEM interpolation)

协作频谱感知虽然可提高系统的感知性能， 但随着感知节点数目的增加， 系统资源的占用越来越多， 系统传输效率下降． 分析了协作频谱感知方法的感知性能， 得到协作频谱感知的感知性能与感知节点数目和接 收信噪比之间的关系， 提出了一种新的次级用户节点的选择方法， 该方法有效保证了所选择节点的感知性能， 仿真验证了该算法的有效性和可靠性．(Although the cooperative spectrum sensing can improve the perceived performance of the system, but with the perception of the number of nodes increases, more and more system resources, the system transmission efficiency decreased. Cooperative spectrum sensing method of analysis of the perceived performance of collaborative spectrum sensing by the perception of performance and perception of the number of nodes and the relationship between the received SNR, a new secondary user node selection method, which effectively guarantee perceived performance of the selected node, the simulation proves the validity and reliability.)

AM RECEIVER based on super heterodyne principle virtually used in all modern radio and television receivers. The approach mainly involves the use of heterodyning or frequency mixing. The signal from the antenna is filtered sufficiently at least to reject the image frequency and possibly amplified. A local oscillator in the receiver produces a sine wave which mixes with that signal, shifting it to a specific intermediate frequency (IF), usually a lower frequency. The IF signals is itself filtered and amplified and possibly processed in additional ways. The demodulator uses the IF signals rather than the original radio frequency to recreate a copy of the original modulation (such as audio). The project is coded in MATLAB.