Introduction-to-digital-signal-processing-and-fil

实现了对语音信号的FFT处理，用matlab(Realization of the speech signal FFT processing, using matlab)

波前曲扭和幅度变化对阵列测向中相干源分辨的影响(Twisted and curved wavefront amplitude variation to distinguish the impact of coherent source direction finding in an array)

使用基于LDA算法的人脸识别程序，附有相应的论文(LDA algorithm based on the use of face recognition procedure, with the corresponding papers)

用于计算dft函数相关性的代码，包括自相关和互相关(To Calculate DFT correlation function)

MATLAB Codes for Finite Element Analysis Solids andS tructures

MATLAB在工程应用中的学习指南，有代码，有详解，特别适合新人学习。(MATLAB applications in engineering study guide, there are code, explain, especially for newcomers to learn.)

各种kalman滤波器的设计，用于建立主成分分析模型，使用拉亚普诺夫指数的公式，可实现对二维数据的聚类，从先验概率中采样，计算权重，本科毕设要求参见标准测试模型，基于SVPWM的三电平逆变的matlab仿真，BP神经网络用于函数拟合与模式识别。(Various kalman filter design, Principal component analysis model for establishing, Raya Punuo Fu index using the formula, Can realize the two-dimensional data clustering, Sampling a priori probability, calculate the weight, Undergraduate complete set requirements refer to the standard test models, Based on SVPWM three-level inverter matlab simulation, BP neural network function fitting and pattern recognition.)

说明：  不带像素操作的机器视觉代码-The brain transforms and discards pixels. The transformation is a smoothing and differencing filter. The output of an individual filter is ambiguous.The output of 5 filters lets us find edges and corners. A small number of filters covers the entire image. This method is fast and discards irrelevant information(Without pixel machine vision operation code-The brain transforms and discards pixels. The transformation is a smoothing and differencing filter. The output of an individual filter is ambiguous.The output of 5 filters lets us find edges and corners. A small number of filters covers the entire image. This method is fast and discards irrelevant information)

该程序是由matlab语言针对<先进PID控制及其MATLAB仿真>编写的,希望对大家有用.(the procedure is against Matlab language)

独立成分分析ICA利用MATLAB实现。可以运行，简单易懂，方便学习(Independent component analysis ICA using MATLAB implementation. You can run, easy to understand, easy to learn)