pe1_3

说明：  设计产生一个连续信号，包含低频，中频，高频分量，对其进行采样，进行频谱分析，使用矩形窗设计不同特性的数字滤波器对信号进行滤波处理，分析所设计滤波器(画出了频率特性曲线)，并对信号进行滤波，画出滤波后信号的时域波形和频谱，并对滤波前后的信号进行对比，同时设计出了一个友好的人机交互界面。(Designed to produce a continuous signal, including low frequency, medium frequency, high frequency components, its sampling, spectral analysis, using rectangular windows of different characteristics of digital filter design the signal filtering, analysis of the designed filter (to draw the frequency characteristic curve), and signal filtering, to draw the filtered signal in time domain waveforms and frequency spectrum, and filtering the signal before and after comparison, the mean time, a friendly interactive interface.)

伪wigner分布，强大好用。修改输入和输出就能很快地使用。(Pseudo wigner distribution, a powerful easy to use. Modify the input and output can be quickly used.)

用于在pls中来提取t2和spe的数值分析(apply in pls to get t2)

java的冒泡排序法，完全自创，请尊重作者的版权(java of the bubble sort method, fully create their own, please respect the)

说明：  NCUT图像分割matlab代码，实现图像分割的较好的方法(NCUT image segmentation matlab code to achieve a better method of image segmentation)

该程序主要是完成MSK的调制这样的一个过程。(The program mainly completes the process of modulation of MSK.)

风力发电并网对电能质量的影响，学习风力发电软件的资料(Of grid-connected wind power quality, the influence of the study of wind power generation software information)

音频无损压缩程序，加入随机噪声，利用前向预测算出预测误差，再用熵编码，组帧，最后解码(Lossless audio compression program, by adding random noise to the prediction error is calculated using the forward prediction, and then entropy coding, framing, and finally decoding)

傅 立叶变换是数字信号处理领域一种很重要的算法。要知道傅立叶变换算法的 意义，首先要了解傅立叶原理的意义。傅立叶原理表明：任何连续测量的时序或 信号，都 可以表示为不同频率的正弦波信号的无限叠加。而根据该原理创立的 傅立叶变换算法利用直接测量到的原始信号，以累加方式来计算该信号中不同正 弦波信号的频 率、振幅和相位。 (The goals for the course are to gain a facility with using the Fourier transform, both specific techniques and general principles, and learning to recognize when, why, and how it is used. Together with a great variety, the subject also has a great coherence, and the hope is students come to appreciate both. )

一个信号处理文件包，对于学习数字信号处理算法的还是很值得借鉴(digital signal processing.)