Y080642-ASPhomework

用凯泽窗设计线性相位带通FIR滤波器 计算理想带通滤波器单位抽样响应ha(n)的M函数文件dbpfr.m 计算凯泽窗函数wk(n)的M函数文件kwnd.m(Keyser window design with linear phase FIR bandpass filter calculate an ideal band-pass filter response ha sampling units ( n) M function calculation Keyser dbpfr.m document window function wk (n) M-function document kwnd.m)

基于matlab的PCM调制的程序源代码(Based on the matlab source code modulation PCM)

简单的gui界面下的有关静定梁的受力分析(A simple gui interface on statically determinate beam Stress Analysis。)

非常基础的设置产生方波波形的matlab程序举例(A matlab program examples to generate square wave shape .)

波束形成相关程序，包括窄带常规波束形成及MVDR波束形成的波束图和方位估计仿真，还有宽带小数时延常规波束形成器的仿真。本程序主要基于水声背景，模型是最简单的线列阵，但对其他阵型只要修改至相应方向相应向量即可，对雷达和语音阵列信号处理修改相应波速频率即可。(Beam forming procedures, including conventional narrowband beamforming and beamforming MVDR beam pattern and orientation estimation simulation, as well as conventional broadband fractional delay beamformer simulation. This program is mainly based on the background the sound of water, the model is the simplest linear array, but as long as the formation of other modifications to the corresponding direction vector corresponding to, radar array signal processing and voice modify the velocity frequency.)

通过使用matlab优化工具箱中的函数fmincon解决有约束的非线性优化问题，有详细的代码过程。(By using the matlab optimization toolbox function fmincon to solve constrained nonlinear optimization problem, has detailed the process code.)

MPSK调制体制在黑障信道下的MATLAB/Simulink仿真(MPSK modulator simulate in blackout using MATLAB/Simulink)

pattern classification homework 2

运动目标的检测是视频处理过程中后续跟踪技术的基础,其检测结果的好坏直接关系到能否跟踪到运动目标及跟踪准确度问题。运动目标的检测就是从机器视觉系统获取的序列图像中把前景,运动,目标分割提取出来的过程。本文描述了机器视觉中运动目标检测的主要方法?介绍了其中背景减除法的几种典型算法的原理、特点、背景差分法的基本流程?主要包括四个步骤为,预处理、背景建模、目标检测、后处理。然后在matlab环境下运用背景减除算法完成了视频中运动目标的检测,并对检测结果图像进一步处理.(Moving target detection is a follow up video processing technology based on the test results is directly related to the ability to track moving targets and tracking accuracy. Moving target detection prospects, movement, object segmentation extracted from the sequence of images acquired by the machine vision system. This paper describes the main method of moving target detection machine vision ? introduced the principle of which several typical algorithms for background subtraction method, the basic flow characteristics, background difference method ? mainly includes four steps, preprocessing, background modeling target detection, post-processing. Use background subtraction algorithm in Matlab environment complete video moving target detection, and detection results of images for further processing.)

Leaf disease detection and classification in matlab..i t contains input images. it can classify well with a disease name. it needs to be improved in matlab