a1

说明：  对uwb的ppm调制的时域和频域进行分析,画出它的图形(ppm of UWB modulation of the time domain and frequency domain analysis, to give its graphics)

matlab做的有源电力滤波器的仿真模型，做的有点乱。(matlab to do the simulation model of active power filter, do a bit messy.)

在平稳瑞利多径信道下，用BPSK调制，用matlab 仿真由最大似然译码的性能。(It discuss a receiver structure called Maximum Likelihood (ML) decoding which gives us a better performance. We will assume that the channel is a flat fading Rayleigh multipath channel and the modulation is BPSK.)

盲分离算法，处理声音信号的分离，供语音识别使用(Blind separation algorithm, which handles the separation of sound signals, is used for speech recognition.)

说明：  累加弦长的参数三次样条曲线方法求插值曲线，给定顶点(cumulative long string parameter cubic spline curve interpolation methods for curve, given vertex)

主要设计了在matlab下异步电动机双闭环控制的仿真。(The main design of the closed-loop control of asynchronous motor in matlab simulation.)

Fuzzy clustering methods including subtractive and Fuzzy C-means and comparing them to Kmeans clustering method

A discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. DCTs are important to numerous applications in science and engineering, lossy compression of audio (e.g. MP3) and images (e.g. JPEG) (where small high-frequency components can be discarded), to spectral methods for the numerical solution of partial differential equations. The use of cosine rather than sine functions is critical for compression, since it turns out (as described below) that fewer cosine functions are needed to approximate a typical signal, whereas for differential equations the cosines express a particular choice of boundary conditions.

A little example for Audiofingerprinting in Matlab that shows how shazam took it first steps

自己用Simulink做的mc_cdma链路仿真，运行结果还不错，有需要的可以参考一下(Their own to do with the mc_cdma link Simulink simulation, the results also is true that there is a need to look at the can)