The-mDoppler-in-Radar-With-DVD

matlab开发的滤波器有程序 使用简单方便 值需要改几个参数就可以实现对任何信号的滤波 程序中还就如了相关注解 有利于读者理解！(matlab filter developed procedure is simple and convenient to use the value of the need to change a few parameters can be achieved for any signal of the filtering process also, such as the relevant comments in favor of reading!)

利用数值变换求解算发此程序，利用数值变换求解算发此程序，利用数值变换求解算发此程序(Solved using numerical transform operator made this procedure, the numerical calculation made to solve this transformation process, made use of numerical calculation to solve the program transformation)

读入ORL人脸库的指定数目的人脸前前五张(训练) 输入：nFacesPerPerson --- 每个人需要读入的样本数，默认值为 5 nPerson --- 需要读入的人数，默认为全部 40 个人 bTest --- bool型的参数。默认为0，表示读入训练样本（前5张）；如果为1，表示读入测试样本（后5张）(Read into the ORL face database face before the specified number of five sheets (Training) Input: nFacesPerPerson--- everyone needs to read the sample size, the default value is 5 nPerson--- the number of people need to read , the default for all 40 individual bTest--- bool type parameters. The default is 0, read the training samples (top 5) If 1, read that the test samples (after 5))

Speech Recognition Thesis

matlab实现的粒子滤波器源代码，多若干实例并有与Kalman滤波器性能的比较(realize the particle filter matlab source code, and more with some examples and compare the performance of Kalman filter)

this is basic matlab explanation. i will upload 5documents.

这是自己用MATLAB写的角点检测源程序，非常简单，效果良好(This is written using MATLAB corner detection source, very simple and effective)

本文中介绍了matlabpdetool在求解偏微分方程中的应用，不错的入门资料(This article introduces the matlabpdetool in solving partial differential equations in the application of good introductory information)

理解无码间串扰的条件；利用matlab仿真，验证无码间串扰的条件，画出相关波形及眼图，并画出有噪声时的误码率特性曲线；对仿真结果进行性能分析 (Understand the inter-symbol interference-free conditions using matlab simulation, verification without inter-symbol interference conditions, draw relevant waveforms and eye diagram, bit error rate characteristic curve and draw when there is noise performance analysis of simulation results)

信号的一些时域指标计算，有效值，峰峰值，峭度，能量，倾斜度等(Calculation, effective value, some indexes of time domain signal peak, kurtosis, energy, gradient)