threelevelhyster0108

时域有限差分方法在一维格子中计算麦克斯韦旋度方程(the finite-difference time-domain solution of Maxwell s curl equations over a one-dimensional space lattice comprised of uniform grid cells)

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.))

直接扩频序列的频谱分析，从DSSS信号的产生到接收，不错的直接扩频序列分析函数，以测试通过，有图产生(Spectrum analysis of direct sequence spread spectrum, from DSSS signal to produce received a good direct sequence spread spectrum analysis function to test, there are plans to produce)

uvm验证方法学入门。step by step，适合IC验证人员入门(uvm verification methodology started. step by step, for IC verification personnel entry)

作者详细给出了四轴飞行器建模的仿真实验过程，适合飞行爱好者阅读(The author gives a detailed simulation modeling process Four aircraft for flight enthusiasts reading)

本程序的性能已经达到较高水平，采用波束成形技术的BER计算，有详细的注释，可以得到很精确的幅值、频率、相位估计。( The performance of the program has reached a high level, By applying the beam forming technology of BER There are detailed notes, You can get a very accurate amplitude, frequency, phase estimation.)

Induction motor fed by voltage inverter controlled by hysteresis PWM

主动轮廓模型CV算法，实现核磁共振脑实质分割(active contour CV Algorithm)

QAM 4,16,64 OFDM DC useful

binary information regarding matlab code for cognitive radio. primary user and secondary users sense the spectrum using co operative sensing scheme