jielianguandao

信号在噪声幅值为1000倍时的提取和数据处理，相关滤波器的设计(Signal in the noise amplitude is 1000 times as extraction and data processing, correlation filter design)

说明：  有关学习MATLAB的WORD文档，很全，在我刚学习MATLAB的时候给了我很大帮助，希望也能帮助大家(MATLAB-WORD documents about learning, it is all in my time just to learn MATLAB gave me great help, hope that we can help you)

基于TDOA原理，经过我本人测试过的fang算法，很好用的。(TDOA-based principle, after I tested fang algorithm, very good use.)

source code for MPC algoritm in SISO system

某火箭在空中沿直线做匀加速飞行，加速度为 ，发动机推力的波动一定会引起加速度波动，雷达以间隔时间不断测量该火箭距离远点的距离 ，由于雷达的测量噪声使得火箭距离测量值 中含有噪声。现在欲通过雷达对火箭距离的测量数据求得火箭的真实距离、速度和加速度。(A linear constant acceleration rocket flight in the air along the acceleration, the engine thrust fluctuation will cause the fluctuation of acceleration time interval measurement, radar to constantly the rocket from the far point of the distance, because the noise radar makes the rocket range measurements with noise. Now, the real distance, velocity and acceleration of the rocket are obtained by measuring the distance of the rocket by radar.)

Abstract— We propose a simple speech compression algorithm using subband division and ADPCM (Adaptive Differential Pulse Code Modulation) algorithm. Although speech data are stored in a semiconductor memory device, its capacity and the available network capacity are limited. Therefore, it is necessary to compress the data as much as possible. The first is that the reconstructed datum must be understood correctly. Speech signal is compressed with a ratio of 1/4 using the proposed subband division and ADPCM (Adaptive Differential Pulse Code Modulation) algorithm.

这个是对16QAM各种界的一个整理，给出了仿真程序，对于初学者来说具有重要的意义。(This is a finishing 16QAM various circles, the simulation program, for beginners is of great significance.)

线性连续系统的数字PID控制（用GA整定PID参数） (Linear continuous system of digital PID control (with GA tuning PID parameters))

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))

Periodic Noise Reduction by Frequency Domain Filtering