RFID

一维平板SN方法的程序，可以广泛应用于反应堆中中子通量密度的计算。(The program of one dimensional flat SN method)

线性调频脉冲信号（Chirp信号）脉冲压缩实验，40MHz和400MHz时的chirp信号仿真以及STFT（短时傅里叶变换）。(Linear frequency modulated pulse compression experiment (Chirp signal), Chirp signal simulation at 40MHz and 400MHz, and STFT (short-time Fourier transform).)

hiperlan协议中mac接入仿真,针对不同随机访问信道数（RCH）进行吞吐量的比较(one proposed way for random RCH number-hiperlan agreement mac access simulation, one proposed way for random number RCH )

说明：  针对框架结构使用常加速度法和威尔逊法进行简谐荷载下的响应计算(The response of frame structure under harmonic load is calculated by constant acceleration method and Wilson method)

数字信号处理——基于计算机的方法（第四版）（英文改编版）光盘内容(Digital signal processing- computer-based methods (fourth edition) (English adaptation) CD-ROM content)

Raptor and Fountain Codes

用差分法解有限宽轴承静载平衡压力分布,求解椭圆形方程(Finite difference method with wide-bearing solution containing a balance of static pressure distribution, solution of elliptic equations)

说明：  本程序是QPSK的AWGN通道下的误码率分析，里面包括matlab源程序，(Analysis of BER in AWGN channel of QPSK)

二维主分量分析（2DPCA）变换程序.程序测试已通过。用于图像特征提取。(This program is the 2DPCA codes written by the matlab software. This program has been tested and it can be used to extract image features.)

说明：  前已提出的频谱感知方法主要包括匹配滤波器检测、 能量检测、 循环平稳特征检测以及多分辨率频谱感知. 这些方法均为单节点感知方法.然而，在阴影和深度衰落情况下， 单个节点的感知结果并不可靠， 因此， 需要对多个节点的感知结果进行融合，以提高检测可靠性， 即协作感知技术. 文献采用“或” 准则对各个 CR 感知结果进行融合. 文献则提出了基于 D-S 证据理论的协作频谱感知算法，虽然该算法的性能比“或” 准则或“与”准则要好， 但需要存储大量历史信息， 算法的计算复杂度也很高. 文献中分析了采用似然比检测(likelihood ratio test， LRT) 的软判决与采用“与” 准则的硬判决的性能， 结果表明采用软判决的协作感知性能更优(Previously proposed spectrum sensing methods mainly include matched filter detection, energy detection, cyclostationary feature detection and multi-resolution spectrum sensing. These methods are all single node sensing methods. However, in the case of shadow and deep fading, the sensing results of single node are not reliable, so, It is necessary to fuse the sensing results of multiple nodes to improve the detection reliability, i.e. cooperative sensing technology. In the literature, "or" criterion is used to fuse the CR sensing results. In the literature, a cooperative spectrum sensing algorithm based on D-S evidence theory is proposed. Although the performance of the algorithm is better than "or" criterion or "and" criterion, a large amount of historical information needs to be stored, The computational complexity of the algorithm is also very high. In the literature, the performance of the soft decision based on the likelihood ratio test)