filter_prj

说明：  遗传算法的一个matlab实例，运行测试通过(A genetic algorithm matlab example, run the test)

有源噪声控制(ANC)主要基于LMS算法,但在处理宽带噪声信号和低信噪比情况下,效果不好.影响控制效果的主要原因是输入信号的自相关分布.而小波变换具有消除信号自相关的作用.因此将小波变换引入有源噪声控制(ANC)是解决问题的一种办法(Active noise control (ANC) is mainly based on the LMS algorithm, but ineffective in dealing with the situation of the broadband noise signal and low signal-to-noise ratio, the main reason affecting the control effect of autocorrelation distribution of the input signal. Wavelet transform to eliminate signalautocorrelation role Thus the wavelet transform is a problem-solving approach to the introduction of the active noise control (ANC))

图论应用研究广泛，如最短路问题，最小生成树问题，最大费用流问题，最优匹配问题，网络可靠性问题，图的着色问题，最优序列设计问题，等等。这是一个强大而通用的基于matlab的工具箱 (Graph toolbox)

说明：  用matlab完成基于最小错误率的贝叶斯分类器的设计(Done with matlab error rate based on the minimum design of Bayesian classifier)

航天器动力学中用于计算轨道转换的MATLAB程序，包括平面的转换为空间的与空间的转换为平面轨道。(Spacecraft Dynamics used to calculate the orbit convert MATLAB program, including the conversion plane converted to space and space for flat track.)

模拟了高斯白噪声通过IS-95基带脉冲成形FIR滤波器的过程。绘制了FIR滤波器的频响曲线，噪声输入前与输出后的波形与功率谱(Simulated Gaussian white noise through the IS-95 baseband pulse shaping FIR filter. Drawn FIR filter frequency response curve, noise input and output waveform and power spectrum)

FIR滤波器， 设计一个线性相位有限冲激响应低通滤波器，使其满足如下指标：通带边界为2kHz，阻带边界为2.5kHz，通带波纹 =0.005，阻带波纹 =0.005，抽样率为10kHz。采用多尔夫-切比雪夫窗进行设计，进行频谱分析。(FIR filter, design a linear phase FIR low-pass filter to meet the following indicators: passband border to 2kHz, stopband border to 2.5kHz, passband ripple = 0.005, stop-band ripple = 0.005, sampling rate of 10kHz. Used Dorf- Chebyshev window design, spectral analysis.)

用MATLAB仿真工具实现Floyd算法，求任意两端间的最短路径(MATLAB simulation tool used to achieve Floyd algorithm, for any shortest path between two ends)

induction machine abc_model

ann The models used in MPC are generally intended to represent the behavior of complex dynamical systems. The additional complexity of the MPC control algorithm is not generally needed to provide adequate control of simple systems, which are often controlled well by generic PID controllers. Common dynamic characteristics that are difficult for PID controllers include large time delays and high-order dynamics.