yichuan

本实验要求掌握时域特征分析原理，并利用已学知识，编写程序求解语音信号的短时过零率、短时能量、短时自相关特征，分析实验结果，并能掌握借助时域分析方法所求得的参数分析语音信号的基音周期及共振峰。基于MATLAB的语音信号时域特征分析(In this study, the analysis required to master the principles of time-domain characteristics, and use the learned knowledge to write programs to solve short-time speech signal zero-crossing rate, short-time energy, short-term autocorrelation features, analysis of the experimental results, and can grasp the time domain by means of analytical methods pitch the determined parameter analysis of the speech signal and formant. Based on time-domain characteristics of the speech signal analysis MATLAB)

gps信号的自相关，以及boc信号的自相关(gps signal autocorrelation, and boc autocorrelation)

基于泊松过程的检测与估计原理和方法，对无符号间干扰信道中的类似问题进行仿真，并最终给出了仿真数据趋势图。(Poisson process based on principles and methods of detection and estimation of inter-symbol interference-free channel to simulate a similar problem, and ultimately gives the simulation data trends.)

HHT gcc代码，专门用于希尔伯特黄变换。(HHT gcc code, specifically for the Hilbert-Huang Transform.)

一个计算欧拉算法的matlab程序 具有较高的精度(Euler algorithm is a calculation procedure has higher accuracy matlab)

Multi- Phase Shift Keying (Digital Communication)

Denoising Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white Gaussian noise is added with a-priori known (or estimated) noise power (variance). The fidelity term to the input image is calculated automatically so that the power of the noise is reduced.

Matlab得基础教程，其在高等数学，线性代数，数值分析中应用和实现，以及较经典的数学建模。(Matlab was based tutorial, its higher mathematics, linear algebra, numerical analysis and implementation of applications, as well as more classical mathematical modeling.)

The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental problems in control theory.

说明：  有偏卡尔曼滤波器可以用来消除无线定位中的非视距误差,本程序加入了非视距检测模块，对于NLOS使用有偏卡尔曼滤波，对于LOS使用标准卡尔曼滤波(Biased Kalman filter can be used to eliminate the wireless location in NLOS error, the program joined the non-line-detection module, for use NLOS biased Kalman filter, using the standard Kalman filter for the LOS)