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该资料是我当时在学MATLAB时使用的资料，很好用的。(MATLAB)

本组设计的声音导引系统使用双MCU结构，采用基于时间差的声源定位算法（利用三路接收器的时差信号）结合PID算法判断并控制移动声源的速度。本设计的特色在于使用四阶Butterworth带通滤波器对声音信号进行处理，使其具有较强抗干扰能力。且系统设计性价比高，功耗低。(Our group design the Sound Guidance System based on Bi-MCU configuration, using time difference sound source orientation arithmetic（the time difference signal from three receivers）combining PID arithmetic to determine and control the mobile sound source’s velocity. The feature of the designation is processing the sound signal by four-order Butterworth band-pass filter. This enhances the anti-jamming ability. Furthermore, the system has the high performance and low price.)

层次分析法的程序代码，不错的一段代码，希望能喜欢(AHP program code, a good piece of code, hoping to enjoy)

有关介绍MATLAB内容的有关教程，主要讲解了MATLAB的使用方法。(Tutorial on MATLAB content, mainly on the use of MATLAB.)

分数阶PID仿真程序，用D分割法求取分数阶PID稳定域(Fractional PID simulation program, to obtain the order stability region of PID fraction with D segmentation method)

sedumi是一个做二阶锥规划的很有用的MATLAB工具包，在进行阵列信号处理，波束优化设计方面有着很好的作用(sedumi is a second-order cone programming to do useful MATLAB tool kit, making array signal processing, beam optimal design has a very good role)

有限脉冲神经网络MATLAB源码，由波兰国立大学生物医药信号处理实验室提供。FIR 神经网络属于一种BP神经网络。(Finite Impulse Response (FIR) neural network models each synapse as a linear filter to provide dynamic interconnectivity. Temporal backpropagation is used to train the network in which error terms are symmetrically filtered backward through the network)

3310 lcd programming

本系统主要是设计一个简单的比例放大器，使小车能以指定的速度运动。采用“自下而上”，“分层”建模思想而设计的。主要包括了理论分析与设计、仿真系统的创建、仿真结果、仿真操作说明、结论等五部分。使用Matlab7.1实现(This system is mainly to design a simple proportional amplifier, so the car can be specified speed of movement. " Bottom up" and " layered" modeling idea. Include theoretical analysis and design, the creation of the simulation system, the simulation results, simulation instructions, conclusions of five parts.)

主要分析了ofdm系统中空时频分组编码的性能，并比较了st－ofdm与sft－ofdm(major analysis of the OFDM system at the frequency of hollow block coding performance, and compared st-OFDM and sft-OFDM)