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iris recognition iris gamma adjust

针对无线射频识别(radio frequency identification，RFID)系统的多标签碰撞问题，在分析RFID标签编码规则的基础上，提出根据标签编码规则进行标签分组和标签预淘汰的方法，在读写器识别的初始阶段根据特定的规则淘汰部分标签，从而减少系统工量，提高系统工作效率.实例证明：在不增加标签结构复杂度的基础上，充分利用已有的有效信息能够有效减少阅读器的查询次数和系统的总通信量．(For radio frequency identification (radio frequency identification, RFID) system is a multi-tag collision problem, based on the analysis of the RFID tag encoding rules based on the proposed label grouping and labeling pre-elimination method according to the label encoding rules identified in the initial reader phase-out of the label according to specific rules, thus reducing the amount of system engineering, to improve system efficiency examples demonstrate: the label without increasing the complexity of the structure on the basis of full and effective use of existing information can be effective in reducing the number of queries and reader total traffic of the system.)

说明：  三维机织结构，根据平均化理论利用MATLAB实现编织结构弹性常数的预测，根据使用者输入参数不同，可求多种机织结构(Three-dimensional woven structure, according to the average theory using MATLAB to achieve the prediction of the elastic constants of woven structure, according to the user input parameters, can be different types of woven structure)

2-fsk调制解调，采用相干解调，画出调制前调制后，加噪声，解调的函数图(modulated and demodulated by 2-fsk)

自己觉得很不错的一个matlab 处理音频信号的一段程序,主要功能是对音频信号波形的处理以及幅度的调制()

通过仿真得到 信号误码率与信噪比的关 系, 从而为实际中 调制和解调 系统设计提供一定的理论依据。 同时 , 通过仿真技术的探讨 , 以期能为 专业教学改革提供一些新的思路(Received signal through the simulation bit error rate and SNR, in order to practice the design of modulation and demodulation system to provide a theoretical basis. At the same time, the adoption of simulation technology with a view to a professional teaching reform to provide some new ideas)

基于重复学习控制算法的matlab源代码(Learning control algorithm matlab source code)

说明：  matlab发送端程序,256位FFT,16QAM-OFDM，最后有时域和频域图形显示(matlab sender program, 256 FFT, 16QAM-OFDM, the last times and frequency domain graphics)

单载波频域均衡的完全编码，包括了调制解调，独特字，传输模拟，信道估计，频域均衡器设计等等完全的理论。(Single-carrier frequency domain equalization, including modulation/demodulation, unique words, transmission simulation, channel estimation, frequency-domain-equalizer design, etc.)

Speech Coding and Phoneme Classification Using MATLAB and NeuralWorks