rader_homework

利用matlab模擬IS95AReverseTransmitter的狀況(using Matlab simulation of the situation IS95AReverseTransmitter)

画出射线跟踪的图形,自动填充的技术，自己写的，希望能有用(Draw the pattern of the ray tracing)

基于Matlab的PID参数最优化设计(fminsearch单纯形法)(Matlab-based design of PID parameter optimization (fminsearch simplex method))

基于短时自相关法的基音周期估计，用matlab编程实现。(Pitch estimation based on short-term auto-correlation method, using Matlab programming.)

运动估计，图像配准，能应用在视频的超分辨上。(Motion estimation, image registration, can be applied in the super-resolution video.)

lm2500的燃气轮机的动态建模仿真，很好很强大(lm2500 gas turbine dynamic modeling and simulation, very very strong)

CHP 5 - Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954 - Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954(CHP 5- Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954- Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954)

小区初搜为GSM系统中的一个关键过程，本程序为GSM小区初搜过程的第一部，查找频率校正突发的matlab程序，输入数据由采样数据得到，在转换成所需格式后进行处理。若其中包含fcch,则输出找到信息。若没有，则查找下一个突发。内付算法详细说明文档()

说明：  迭代法求解线性方程组，可以运用数值计算方法中的雅克比迭代法求解线性方程组(diadaifa)

基于Matlab的一MMSE的噪声PSD的执行跟踪的语音增强算法。这个包是一所描述的算法实现在“基于MMSE的低噪声PSD的跟踪与复杂性”，由理查德亨德里克斯，理查德Heusdens和Jesper詹森，IEEE国际会议声学，语音和信号处理，03/2010，达拉斯，德克萨斯州，p.4266 - 4269，（2010年）。 该算法具有较低的复杂性，但能够准确地估计非平稳的延迟相当低噪声PSD的跟踪噪声。(Matlab implementation of an MMSE based noise PSD tracking algorithm for speech enhancement. This package is an implementation of the algorithm described in "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY", by Richard C. Hendriks, Richard Heusdens and Jesper Jensen, IEEE International Conference on Acoustics, Speech and Signal Processing, 03/2010, Dallas, TX, p.4266-4269, (2010). The algorithm has rather low complexity, but is able to accurately estimate the noise PSD for non-stationary noise with rather low tracking delay. )