GeneticAlgorithm

详细具体地记录了在matlab平台中fir滤波器的设计过程(Detailed record of the matlab platform fir filter design process)

完成M=4的PSK通信系统的蒙特卡洛仿真，信号波形为sbr2p(snr_in_dB) 求出以dB为单位的给定信噪比的比特误码率和符号误码率(Completion of M = 4 of the PSK communication system Monte Carlo simulation, the signal waveform is sbr2p (snr_in_dB) calculated in units of dB signal to noise ratio for a given bit error rate and symbol error rate)

基于matlab的随机行走案例，希望对各位有所帮助，如有不对，还请批评指正(case based on matlab)

In this document has been introduced how to solve different partial differential equations in Matlab programming language.Everbody can solve Heat Conduction Equation, Helmholtz Equation, Laplace Equation and Wave Equation for different initial and boundary conditions. This document is elemantary of to understand how to solve partial differential equations with the aid of a porgramming language.

常见的角度传感器的资料及选型，在选择角度传感器时可借鉴！(Common point of view sensor data and selection, the choice of angle sensor could draw!)

wimax system with matlab codes

此文件包含了在需求不确定的情况下给定客户服务水平或缺货率的EOQ经济订货批量模型的MATLAB源代码(This file contains the case of uncertainty in the demand for a given level of customer service or out of stock rate EOQ economic order quantity model for MATLAB source code)

说明：  利用 matlab 分别基于 ACF 和 W-AMDF 求基音频率，程序均调试通过。其中的 word 文档为下载资源，供大家参考对比(compute fundamental frequency of speech signal base on ACF and W-AMDF respectively, while the download word document for your reference.)

本源码通过声音传通数据，将数据调制二进制PSK(即BPSK)信号从喇叭发出来，另外一个接收程序接收到声音后，便可以解码出来，用到的技术有PSK编码、PSK解码、Windows录音，为了防止传输过程中出现的误，本原码采用rss纠错码，使得通讯更加稳定可靠。(The Source by voice through the data, binary modulation PSK (ie, BPSK) signals emitted the speaker, the other receiving program after receiving the sound, you can decode it, the techniques used have PSK encoding, PSK decoding, Windows Recording in order to prevent accidental transmission occurs, the primitive code using rss error correction code, making communications more reliable.)

This code calculated the LDP histogram and is based on B Zhang, Y Gao, S Zhao & J Liu, "Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor," Image Processing, IEEE Transactions on, vol.19, no.2, pp.533,544, Feb. 2010