Chapter5

Economic Load Dispatch Program for simple six bus system

用汉宁窗函数法设计一个数字FIR高通滤波器，要求通带边界频率为500Hz，阻带边界频率为400Hz，通带最大衰减1dB，阻带最小衰减40dB，抽样频率为2000Hz，用MATLAB画出幅频特性，画出并分析滤波器传输函数的零极点(With han ning window function method to design a digital FIR high-pass filter, request bandpass boundary frequency for 500 Hz, stop-band boundary frequency for 400 Hz, bandpass biggest 1 dB attenuation, stop-band attenuation least 40 dB, sampling frequency for 2000 Hz, MATLAB draw the amplitude frequency characteristics, painted and analysis filter transmission function of zero poles)

Hough Transform to recognize circles shapes an image.

matlab图像水印嵌入处理，运用DCT算法进行嵌入和提取。(Matlab watermark embedding process, using DCT algorithm to embed and extract. )

不用音乐播放控件，使用别的方法播放音乐。功能不全。(Do not have music player controls, the use of other means to play music. Insufficiency.)

好几个LMS和RLS的自适应滤波算法,系统便是和噪声对消(Several LMS and RLS adaptive filtering algorithm )

FIR(Finite Impulse Response)滤波器：有限长单位冲激响应滤波器，是数字信号处理系统中最基本的元件，它可以在保证任意幅频特性的同时具有严格的线性相频特性，同时其单位抽样响应是有限长的，因而滤波器是稳定的系统。因此，FIR滤波器在通信、图像处理、模式识别等领域都有着广泛的应用。 (FIR (Finite Impulse Response) filters: finite impulse response filter unit, digital signal processing system is the most basic components, it can ensure that any increase in the frequency characteristics of both a strictly linear phase frequency characteristics, while its unit sample response is finite, and therefore the system filter is stable. Therefore, FIR filters in communications, image processing, pattern recognition and other fields have a wide range of applications.)

F-K偏移，来自加拿大crewes小组的MATLAB程序(FK offset, MATLAB program teams Canada crewes)

平稳随机信号谱估计 使用两种谱估计方法将信号和噪声分离：周期图法谱估计和Levinson-Durbin递推法谱估计。其中每种方法又细分为自编程序和使用matlab自带函数两种。( Random signal model is estimated using two methods of spectrum signal and noise separation: periodogram spectral estimation method and Levinson-Durbin recursive spectrum estimation method. Each method which is divided into self-fine procedures and the use of two matlab own function.)

形象展示粒子滤波过程的代码，与扩展卡尔曼滤波进行比较，部分代码含注释，易于理解(Image display code particle filter process, compared with the extended Kalman filter, part of the code with comments, easy to understand)