Lab3

THIS MATLAB CODE REDUCE THE SPECKLE NOISE IN SAR IMAGE, IT USE WAVELET FILTER THEN USED CASCADE THREE FILTERS IN TIME DOMAIN (HYBRID TIME AND FREQUENCY DOMAIN). THIS CODE NEED SOME MODIFICATIONS SINCE THERE ARE SOME PROBLEMS LIKE BY COMPUTE PSNR AND THE WAVELET HAS SOME ERRORS IN COMPUTE THE DE-NOISING

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 )

实现信号的SVD 分解,对信号中的奇异性进行监测，对突变信号点也可以很好监测(to complete the SVD for signals，Singularity of signal monitoring, signal monitoring point can be very good for mutations)

图像取证，可用于检测图像CFA插值，并给出正确结果(image forensic)

说明：  matlab图像处理，以一一个你一好呵呵合金(matlab)

使用PID算法与FUZZYPID算法仿真并作比较，仿真证明，FUZZYPID效果要好于单纯PID调节(Using the PID algorithm and FUZZYPID algorithm simulation and compare simulation results show, FUZZYPID is better than the simple PID regulator)

雅克比方法求矩阵的特征值和特征向量，matlab文件，已经调试成功了(Methods for Jacobian matrix eigenvalues and eigenvectors, matlab documentation, debugging has been successful)

非常好的学习KNN算法的，能全面掌握关于KNN算法的原理，实现等(Very good learning KNN algorithm, can fully grasp on the principle of KNN algorithm, implementation, etc )

Caro game system specification Netcetric

Spectral Methods using Matlab