monopulse

S7-200 PLC 的初步设计及编程技巧，适合初学者使用。(S7-200 PLC preliminary design and programming skills, suitable for beginners to use.)

卡尔曼滤波器介绍,个人感觉比较好的资料。(kalman (explain in detail) )

MATLAB的主要函数及其注释 可方便查找用(The main function of MATLAB and its notes can be easily used to find)

说明：  利用通信系统中调制信号的循环平稳特性,对频谱空洞进行检测,提升频谱感知技术在低信噪比下的性能。实验结果表明:与传统能量检测方法相比,采用循环特征检测方法改善了认知无线电中频谱空洞的检测能力。(Based on the cyclostationarity of modulation signals, spectrum hole is detected, aiming at the improve- ment of the performance of spectrum sensing in low SNR situation. The results show that comparing with the tra- ditional energy detection technique, cyclostationarity-based spectrum sensing technique has greatly improved the detective ability in cognitive radio.)

使用Matlab计算信源熵，利用信息论与编码所学知识完成实验(Using Matlab to compute source entropy)

说明：  this folder contains VIs related to USRP.

对当前通信信号中常用的数字调相信号BPSK、QPSK、1／4一QPSK、8PSK的调制识别问题，提出了一种基于信号差分高阶累积量的识剐算法。该算法分两个层次进行调制识别，首先利用信号的四阶累积量特征对BPSK、QPSK和{1／4一QPSK、8PSK}信号进行识别，然后再利用信号差分的四阶和八阶累积量特征对1/4-QPSK、8PSK信号进行识别。从理论上分析了的该算法的有效性，并通过计算机仿真验证了算法具有良好的性能。(A recognition algorithm based on differential high-order cumulant is proposed for the modulation recognition problems of BPSK, QPSK, 1/4-QPSK and 8PSK, which are commonly used in current communication signals. The algorithm is divided into two levels for modulation recognition. Firstly, BPSK, QPSK and {1/4-QPSK, 8PSK} signals are identified by using the fourth-order cumulant characteristics of signals, and then 1/4-QPSK and 8PSK signals are identified by using the fourth-order cumulant and eighth-order cumulant characteristics of signal difference. The validity of the algorithm is analyzed theoretically, and the good performance of the algorithm is verified by computer simulation.)

Paper on hetrogenous network

横重要的leach 协议哦对你有很大的帮助 (Oh cross important leach agreement)

这是一本国外的经典教材，讲述了现阶段所有数字信号处理的FPGA实现，从第二章讲述二进制的算法到现阶段数字信号处理的研究热点，基于FPGA实现！包括FIR，自适应滤波，纠错码，调制解调，加密，傅立叶变换等等。更难能可贵的是每个例子都有VHDL和Verilog代码！！(This is a classic foreign materials, described at this stage all the digital signal processing FPGA, from the second chapter about the binary digital signal processing algorithms to the current stage of research focus, based on FPGA implementation! Including FIR, adaptive filtering, error-correcting codes, modulation and demodulation, encryption, Fourier transform and so on. Even more valuable is that each case has a VHDL and Verilog code! !)