biometrie

《无线通信FPGA设计》一书中例子的Matlab及verilog代码(" Wireless FPGA Design" a book example of Matlab and the verilog code)

循环平稳在通信与信号处理中的应用的一篇高质量的外文文献(Cyclostationary applications in communications and signal processing, a high-quality foreign literature)

已知系统的差分方程，用matlab实现输出信号的自相关计算并画出图形。(Differential equations known system, the output signal using matlab autocorrelation calculated and drawn graphics.)

说明：  关于功率放大器非线性建模和线性化的两篇论文资料，详细介绍了所采用的模型和相关算法，很有参考价值。(Those papers are related with pa modeling and linearization, which introduce the pa models and algorithms for those models.)

this is the code for generating membrane function using matlab GUI

a hvdc model simulink a model of distribution

如题，很简单的小工具，信噪比snr和均方mse的MATLAB代码。(As topic,a very simple tool, SNR and MSE MATLAB code.)

我自己编写的ofdm系统的matlab仿真的源代码(matlab simulation ofdm the source code)

考虑L的三个不同值：L＝256（3个数据段），L＝128(7个数据段)和L=64（15个数据段）。各自的谱估计图如上图所示。可以明显的看到，加窗明显的减小了频谱上的假谱峰，但也更加进一步平滑了谱峰。所以，对于L＝64的情况，在ω＝0.8π的谱线可以很确定的辨认，但是那两个靠近的谱峰不容易区分。对于L＝128的情况，这种情况提供了在分离和检测间最好的均衡。当然，对于在L＝256时的情况，效果是更好的，能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外，还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等，在功率谱估计上也能取得较好的结果。(consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power)

本书介绍使用ＭＡＴＬＡＢ进行电路、信号与系统的分析，主要内容有三篇：学用ＭＡＴＬＡＢ、 电路分析、信号与系统分析。第一篇为ＭＡＴＬＡＢ语言的基础知识，介绍ＭＡＴＬＡＢ数值计算、 程序设计、符号运算及图形绘制方面的功能和指令。第二篇为ＭＡＴＬＡＢ在电路分析中的应 用，按电路分析的三大基本内容分章：电阻电路、动态电路的时域分析、频域分析。本篇除介 绍使用ＭＡＴＬＡＢ进行电路分析的基本方法外，还给出了作者自编的通用符号电路分析程序 ｓａｎａ．ｍ，它使线性电路的分析问题变得十分简单。第三篇主要配合高等教育出版社出版、赵 录怀等编的《信号与系统分析》教材编写，共七章：信号的可视化、ＬＴＩ系统的时域数值分析、 拉普拉斯变换、ｚ变换、连续时间信号与系统的傅里叶分析、离散时间信号与系统的傅里叶分 析、模拟与数字滤波器。(This book describes the circuit, signal and system analysis using MATLAB main content three: Learning with MATLAB Circuit analysis, signals and systems analysis. MATLAB language basics first describes the MATLAB numerical calculation, Program design, symbolic computation and graphics rendering functions and instructions. Second MATLAB in circuit analysis should With three basic circuit analysis is divided into chapters: resistive circuits, dynamic time-domain circuit analysis, frequency domain analysis. This in addition to referral Shao circuit analysis using MATLAB, but also gives the universal symbol circuit analysis program of self sana. m, it is very simple linear circuit analysis. The third major with the Higher Education Press, Zhao Recorded pregnant edited "Signals and Systems Analysis" textbook written seven chapters: the visualization of the signal, LTI system time domain numerical analysis, Laplace transform, z transform, continuous-time signals and systems, Fourier an)