transient-stability-

ksvd字典学习算法，matlab环境下运行(ksvd dictionary leanrning algorithm, run in matlab)

1. 给一段原始的语音信号（可以是自己录制的一段语音），加上一频率为3.8kHz的高频余弦噪声和频率为3.6kHz的高频正弦噪声（幅度自己可以选择），用窗函数设计一滤波器（要求最小阻带衰减为50dB）对加噪后的语音信号进行滤波，画出滤波器的频率响应曲线，画出滤波前后的时域图和频谱图。 需要用到的函数： fir1 用窗函数设计FIR滤波器的函数 2. 用GUI设计一界面（如图1所示）完成如下功能： 1） 输入一语音信号，画出语音信号的时域图和频谱图； 2） 对语音信号加噪处理，画出加噪后的时域图和频谱图； 3） 给定滤波器的性能指标，采用几种不同的方法设计滤波器对加噪信后进行滤波，画出各滤波器的频率响应曲线，画出滤波后的时域图和频谱图。 (1. to some of the original speech signal (which can be a voice you record yourself), plus a cosine frequency of 3.8kHz frequency noise and frequency of 3.6kHz frequency sinusoidal noise (in the range that they can choose), with a window function to design a filter (requires a minimum stop band attenuation is 50dB) after adding noise to the speech signal is filtered, the filter frequency response curve to draw, draw diagrams and time-domain spectrum before and after filtering. Need to use the function: function fir1 with window function design FIR filter design 2. Using a GUI interface (Figure 1) complete the following functions: 1) an input speech signal, the speech signal in the time domain to draw graphs and spectrum 2) adding noise to the speech signal processing, draw diagrams and time-domain plus noise spectrum after 3) to set the filter performance, using several different methods designed to filter letter after adding noise filtering, draw the frequency response curve of each )

This is the source code for various digital modulation schemes(QAM,MSK,DPSK,MFSK,QPSK)

ms-garch model forcasting

用DFT近似计算连续时间周期信号的频谱，对matlab新手适用。(Approximate calculation using DFT spectrum of continuous-time periodic signal of matlab novice apply.)

controlled Half wave rectifier circuit with inductive load and gives positive half cycle and block negative half cycle.

a radix-2,3 and 5 FFT, hopefully this is new and helpful :)

说明：  matlab键盘输入模型程序，用simulink制作。在7.0以上版本直接运行 运行过程中按一下键盘就会看到示波器上出现一个脉冲信号。(Matlab keyboarding model procedures used Simulink production. In version 7.0 to run over the course of operation under the keyboard will see what appeared on an oscilloscope pulse signal.)

自适应采样,可以根据灰度变化的不同来进行采样。matlab代码(adaptive sampling)

人脸对齐基于论文《fps3000》中训练集构建时生产68个特征点的matlab脚本文件。提供交互窗口，按顺序点左眼右眼和嘴巴，即可自动生成68个点，再用鼠标对个别点进行人工修正。满意后保存即生成一个文本文件，存有68个点的坐标。(Face aligned on the paper fps3000 production when the training set to build 68 feature points matlab script file. Provide interactive window, press the right and the left dot sequence mouth, you can automatically generate 68 points, then the mouse on the individual points manually corrected. The satisfaction of saving a text file that is generated, there are the coordinates of 68 points.)