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基于matlab 的 dft 的 fft 的 是吸纳(the same as before fft dft )

无刷直流电机的模糊PID控制 simulink仿真(Brushless DC motor simulink simulation of the fuzzy PID control)

它是关于矢量量化的语音识别，让看到他学者受益匪浅，日后定能拓展视野！(lovely and satisfactory)

1、研究BFSK在加性高斯白噪声信道下（无突发干扰）的误码率性能与信噪比之间的关系； 2、研究BFSK在加性高斯白噪声信道下（有突发干扰）的误码率性能与信噪比之间的关系；分析突发干扰的持续时间对误码率性能的影响。 3、研究BFSK+信道编码（取BCH码和汉明码）在加性高斯白噪声信道下（无突发干扰）的误码率性能与信噪比之间的关系；分析不同码率对误码率性能的影响。比较不同信道编码方式的编码增益性能。 4、研究BFSK+信道编码（取BCH码和汉明码）在加性高斯白噪声信道下（有突发干扰）的误码率性能与信噪比之间的关系；分析突发干扰的持续时间对误码率性能的影响。分析不同码率对误码率性能的影响。比较不同信道编码方式的编码增益性能。 (The relationship between research BFSK in additive white Gaussian noise channel (non-burst interference) bit error rate performance and signal to noise ratio research BFSK in additive white Gaussian noise channel (burst interference The relationship between), bit error rate performance and signal to noise ratio analysis of the duration of the burst interference on the BER performance. The relationship between the 3 the study BFSK+ channel coding (take BCH code and Hamming code) under the additive white Gaussian noise channel (non-burst interference), bit error rate performance and signal to noise ratio analysis of the different rate of bit error rate the impact of the performance. Comparison of different channel coding, coding gain performance. The relationship between the 4 the study BFSK+ channel coding (take BCH code and Hamming code) under the additive white Gaussian noise channel (burst interference), bit error rate performance and signal to noise ratio duration analysis of bu)

这个资料，集中系统的介绍了MATLAB在通信系统仿真中的应用，分享(This information, focus on the system introduced in the communication system MATLAB simulation, sharing)

Objective Fidelity Criteria(Objective Criteria)

一个关于PCA降维的小例子，用matlab编写(PCA matlab)

基于系统辨识理论和数据驱动建模方法，建立了供水管网 NARX（Nonlinear Auto-Regressive with eXogenous Inputs）神经网络模型(Based on system identification theory and data driven modeling method, a neural network model of water supply network is established.)

利用matlab编写二阶系统的响应过程界面(Prepared using matlab second-order system response interface)

采用自相关法、FFT法，三种改进方法对带噪声的正弦信号做功率谱估计( U91C7 u7289 u7R3 u5B3 u5B3 u5B09 u5B09 U529F u7387 u8C31 u4F30 u8BA1)