discrete

天文上常用的zernike多项式数值模拟包(Astronomy on the common zernike polynomial numerical simulation package)

msk的malab仿真，其中详细绘制了msk调制解调的信号图形(msk malab the simulation, which detailed mapping msk the modulation and demodulation of signals Graphics)

齐次坐标变换有很多形式，本程序证明采用不同形式时对应的转换矩阵不同(homogeneous coordinate transformation)

bit error rate performance for 16 QAM simulation in matlab programme

基于牛顿-拉夫逊法的电力系统潮流计算程序，33节点系统。matlab-Based on the Newton- Raphson method of power flow calculation program, matlab(Based on the Newton- Raphson power flow calculation program, a 33-node system. matlab-Based on the Newton-Raphson method of power flow calculation program, matlab)

说明：  超高频RFID读写器研究与设计 本课题以超高频RFID读写器硬件实现为主要本文设计RFID读写器硬件基带和射频部分的参数都可以满足要求，读写器可 以正常读、写符合15015000一6C或者 EpCglobalClasslGenZ协议的电子标签， 其上传速率可以达到640kbPs，配合上层的软件设计可以实现读写器考勤功能，经 过测试验证本系统可以长时间地稳定工作。 (UHF RFID reader research and design of this issue using the UHF RFID reader hardware designed in this paper as the main RFID reader hardware, baseband and RF part of the parameters are to meet the requirements of a normal reader can read, 15.015 million was in line with the agreement of a 6C or EpCglobalClasslGenZ electronic tags, its upload speeds can reach 640kbPs, with the top of the software design can be achieved reader attendance functionality, the system can be tested and verified for a long time stable jobs.)

这是一个产生混沌时间序列Ikeda吸引子的程序(Ikeda)

融合程序,matlab的源代码。内含两个程序。(Fusion program, Matlab source code. Contains two procedures.)

ask调制解调程序，包括序列的产生，加噪，频谱分析，低通滤波输出，抽样判决等(ask modulation and demodulation process, including the sequence generation, noise, spectrum analysis, low-pass filtered output, sample sentences, etc.)

仿照着《小波去噪中软硬阈值的一种改良折衷法》一文写的程序，对比了软、硬以及软硬阈值折衷法的信噪比及均方根误差。仿真出来之后，原信号的信噪比是负的，不知道为什么？均方根误差的值也比较大，不知何解？信噪比和均方根误差是参照《基于matlab的小波去噪仿真》：吴伟，《信息与电子工程》 一文写的(Modeled on the written procedures of the hard and soft threshold wavelet de-noising an improved compromise " , compared to the soft and hard compromise between the hard and soft threshold signal-to-noise ratio and root mean square error. Out of the simulation, the signal-to-noise ratio of the original signal is negative, do not know why? The value of the root mean square error is relatively large, do not know why? Signal-to-noise ratio and root mean square error with reference to the wavelet denoising matlab-based simulation: Wu Wei, " Information and Electronic Engineering" written)