klt_lee

计算Mel倒谱系数的matlab程序： MELCEPST Calculate the mel cepstrum of a signal C=(S,FS,W,NC,P,N,INC,FL,FH) 使用: c=melcepst(s,fs) ％ calculate mel cepstrum with 12 coefs, 256 sample frames(Mel cepstrum coefficients calculated the matlab procedure: MELCEPST Calculate the mel cepstrum of a signal C = (S, FS, W, NC, P, N, INC, FL, FH) using: c = melcepst (s, fs) calculate mel cepstrum with 12 coefs, 256 sample frames)

这是一个粒子群算法（pso）的MATLAB源程序(This is a particle swarm optimization (pso) the MATLAB source code)

passive suspension model

Wiener滤波matlab程序,望多多指教.(Wiener filtering process, and hopes the exhibitions.)

Antenne parabolique alimentée par guide d onde

利用各种算子对图像进行边缘检测，效果很好(edge test by Roberts，Sobel，prewitt，Kirsch，Laplac )

Physics-Based Modeling Methods Improve Control System Design Multidomain systems (mechanical, electrical, hydraulic, chemical) 􀂃 Successful controller development requires thorough and accurate understanding of plantControllerElectricalMechanicalDeviceActuatorsSensorsPlant(Physics-Based Modeling Methods Improve C ontrol System Design Multidomain systems (mec hanical, electrical, hydraulic, chemical))

matlab工具箱函数汇总，对matlab编程非常有用！(Matlab toolbox function)

实现24位RGB彩色图像，先转化为灰度图像，而后用大津法实现二值化，并显示阀值。(To achieve 24-bit RGB color images, the first converted to grayscale images, then using Otsu binarization method to achieve and display threshold.)

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)