numerical-identities

JPEG DCT based baseline method which divides the image into 8x8 blocks and quantize anthen entropy coded.

说明：  有关信号与信息系统的matlab程序--傅立叶级数和变换(Signal and information systems related to the matlab procedure- Fourier series and transform)

实现k维度的核密度估计，包含了点积核和常规核函数的实现(implement k-dimensional kernel density estimation， supports product kernels ，Gausiankernel 。)

本程序针对信号检测与估计中极大极小化准则的仿真，画出贝叶斯风险曲线、极大极小化风险等，帮助大家更好理解极大极小化准则。(This procedure for signal detection and estimation of the minimax criterion simulation, draw the Bayesian risk curve, greatly minimizing risk, to help you better understand the enormous minimization criterion.)

M03 - LVTTL UART to Wi-Fi (IEEE 802.11 b/g) AT Command and User Manual

该程序我编写的用于轴承振动数据的归一化处理。(the program i wrote is to normaliate the vibration signals of bears.)

PID ABS的控制系统，参数已经整定完毕，采用的是单轮模型(PID ABS control systems, parameter tuning has been completed, using a single wheel model)

Specific bus support for PMC-TWI compliant implementation on MSP71xx.

matlab上实现网格空时码（STTC）的仿真。(Simulation of trellis space time code (STTC) on matlab.)

计算机视觉中最重要的研究之一就是运动目标检测，其不但在模式识别方面具有相关的研究，而且在图像理解领域也有非凡的意义。运动目标检测是通过通过图像序列帧图像来提取运动目标，通过运用相关的算法一幅图片被划分为前景点和背景点。运动目标检测算法是后续的运动目标分类、运动目标跟踪和分析提供了基础。本论文讲述了几种常用的视频运动目标检测算法，并就背景差分法进行了重点研究，通过两种方法来对比差分法的特点。其中背景差分法算法的主要流程为：视频获取、视频转化为图片序列、图片灰度化处理、去除噪声、差分图片、对图片进行后续处理。此次课题的完成采用的是比较常见的数学软件matlab，其具有强大的工具箱。对处理图像这块具有很广泛的支持。(Computer vision and video image processing is one of important research in the field of video moving object detection, whether in the domains of pattern recognition and image understanding has special significance. Moving target detection is to extract video moving object in successive frames, the image is divided into foreground and background. Moving target detection algorithm for subsequent movement target classification, target tracking and analysis provides the basis. This paper tells the story of several common video moving object detection algorithm, and to the study on the background difference method, through the two methods to contrast the characteristics of the finite difference method. The background difference method algorithm is the main process is: the video capture, video into image sequence and image grayscale processing, remove noise, difference image, for subsequent processing images. The completion of this subject is the more common mathematical software matlab, whi)