daisymiaoshuzi

this program treat image processing and segmentation methods and can help for functions which concern segmentation

使用低通滤波器从含有噪声的信号中提取有用的正弦波 (见实验指导书 实验九 数字滤波器中的第一题) 目的：用数字滤波器从含有高频噪声的采样数据中提取正弦信号。 要求：①输入信号为一正弦波，并加入一个白噪声的干扰来模拟信号传输中的随机干扰信号（用以模拟含有噪声采样序列）。 （模拟含有噪声采样序列具体可用正弦波信号叠加高频噪声来实现，为了使滤波效果明显，本实验的高频噪声是用高频均匀分布白噪声（Uniform）通过Butterworth高通滤波器过滤生成的，高通滤波器的截止频率设为10倍输入信号频率。） ②在程序中设计一个低通巴特沃斯滤波器，以滤除信号中的噪声分量，提取输入的正弦波信号 。 ③可调节信号滤波器的截止频率和阶数，可显示滤波前与滤波后的时域信号。 ④给出滤波前与滤波后的频谱特性的显示。 (Using low pass filter extracting useful sine wave signal containing noise(see experiment instruction digital filter in the first nine questions)Objective: to use digital filter sampling data extract containing high frequency noise sine signal.Requirements: (1) the input signal is a sine wave, and add a white noise interference to simulate the random disturbance signal of the signal transmission (to simulate contains noise sampling sequence).(simulated the sampling sequence contains noise available sine wave signal superposition of high frequency noise, in order to make the filtering effect is obvious, the experiment of high frequency noise is Uniform distribution with high frequency white noise (Uniform) by Butterworth high-pass filter to filter generated, high-pass filter cutoff frequency set to 10 times the size of the input signal frequency.)(2) in the program design a low-pass butterworth filter, in order to filter out the noise in the signal component, extract the input sine wav)

里面的内容还是不错 能够好好参考 matlab功能强大哦 ^_^(The contents of which is good to make reference to matlab powerful ^ _ ^ Oh)

LOG算子，实现边沿检测，内附readme(LOG operator, to achieve edge detection, included readme)

说明：  Calculating an average temperature of the rod as a numerical double integral using Simpson 1/3 algorithm

Matlab code for the SCFDMA simulation for ber computation and capicty...

说明：  matlab高阶谱（双谱）分析直接法和间接法，可用于时差估计等(matlab order spectrum (bispectrum) of the direct method)

语音信号处理综合运用了数字信号处理的理论知识，对信号进行计算及频谱 分析，设计滤波器，并对含噪信号进行滤波 (Speech signal processing of digital signal processing integrated use of theoretical knowledge, to calculate the signal and spectrum analysis, design filter, and filter the noisy signal)

说明：  时间序列的人口预测，采用三次指数平滑，还有灰色预测，有数据提供参考。(The population forecast of time series adopts three exponential smoothing and grey forecast, which provides reference for data.)

Interacting MIMO without decoupling