Code-of-Basic-PIO

自适应中的牛顿法。结论，当u靠近0.5时，wk 迅速增加到最佳权， 当u小于0.5时，wk 沿着一个方向单向靠近最佳权；u大于0.5时wk沿着起始点指向最佳权的方向左右振荡并向最佳权收敛 ！ (The Newton method adaptive. Conclusion, when u close to 0.5, wk quickly right to the best, when u is less than 0.5, wk along the a direction close to the best the right way u greater than 0.5 wk point along the starting point about the best direction for the right to the right of oscillation and convergence of the best!)

Peak Detection algo in ECG for matlab.

经典图像边缘检测(微分法思想)——Roberts微分交叉算子 优点：模板小，计算量小；(Classic edge detection (differential method thought)- Roberts differential crossover advantages: template small, small amount of calculation )

可以得到很精确的幅值、频率、相位估计，FMCW调频连续波雷达的测距测角，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。( You can get a very accurate amplitude, frequency, phase estimation, FMCW frequency modulated continuous wave radar range and angular measurements, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm.)

录制自己的一段语音，时间控制在15秒到30秒左右；利用wavread函数对自己的语音进行采样，记住采样频率。 （1）画出原始语音信号的时域波形，而后以1秒为间隔，求出每秒数据的功率谱。 （2）根据语音信号特点，分别设计FIR及IIR滤波器，分别画出滤波器幅频和相频特性曲线。用设计的滤波器对信号滤波，画出滤波后时域波形。用sound函数回放语音信号。 （3）求出特征频段语音信号随时间变化的曲线（每间隔0.05秒求一次功率谱）。 (Record your own voice for some time (15 seconds to 30 seconds) use wavread function of the voice samples, remember the sampling frequency. (1) Draw the original speech signal in time domain waveform, and then to 1 second intervals, the data obtained power spectrum per second. (2) According to the voice signal characteristics, FIR and IIR filters were designed, namely to draw the amplitude and phase frequency characteristic curve. With the design of the filters on the signal filtering, to draw the filtered time-domain waveform. Playback with sound function of the speech signal. (3) Find the characteristic band speech signal curve over time (0.05 seconds intervals seeking a power spectrum.))

cmac与pid并行控制在matlab中的编程(the cmac pid parallel control programming in matlab)

低通滤波器，用Matlab编程实现低通滤波器的功能(Low-pass filter, using Matlab programming function of the low-pass filter)

实现最小交叉熵 最大熵 OTSU算法的小程序 简单实用(Minimum cross entropy maximum entropy OTSU algorithm procedure is simple and practical)

matlab example: DISP Display array.

Performance comparison of RLS and LMS channel estimation techniques with optimum training sequences for MIMO-OFDM systems Performance comparison of RLS and LMS channel estimation techniques with optimum training sequences for MIMO-OFDM systems