EXAMPLE

编程实现基于小波变换尺度相关性去噪算法，结合例子验证该算法的去噪性能。(Programming based on wavelet transform denoising algorithm scale correlation, combined with examples verify the performance of our method.)

说明：  仿真一个瑞利衰落信道的信道冲激响应，横坐标是信道采样阶数，纵坐标是对应采样阶数的幅值.(Simulation of a Rayleigh fading channel the channel impulse response, the abscissa is the order of channel sampling, corresponding ordinate is the amplitude of the order of sampling.)

Time_FFT_Narrow band.mat It has input data

车辆工程平顺性方面的1/3倍中心频率的有关程序，我自己用的。大家可能要改一下。()

matlab的mpiv工具箱，用于处理mpiv图像(matlab progam s mpiv tools)

1. 给一段原始的语音信号（可以是自己录制的一段语音），加上一频率为3.8kHz的高频余弦噪声和频率为3.6kHz的高频正弦噪声（幅度自己可以选择），用窗函数设计一滤波器（要求最小阻带衰减为50dB）对加噪后的语音信号进行滤波，画出滤波器的频率响应曲线，画出滤波前后的时域图和频谱图。 需要用到的函数： fir1 用窗函数设计FIR滤波器的函数 2. 用GUI设计一界面（如图1所示）完成如下功能： 1） 输入一语音信号，画出语音信号的时域图和频谱图； 2） 对语音信号加噪处理，画出加噪后的时域图和频谱图； 3） 给定滤波器的性能指标，采用几种不同的方法设计滤波器对加噪信后进行滤波，画出各滤波器的频率响应曲线，画出滤波后的时域图和频谱图。 (1. to some of the original speech signal (which can be a voice you record yourself), plus a cosine frequency of 3.8kHz frequency noise and frequency of 3.6kHz frequency sinusoidal noise (in the range that they can choose), with a window function to design a filter (requires a minimum stop band attenuation is 50dB) after adding noise to the speech signal is filtered, the filter frequency response curve to draw, draw diagrams and time-domain spectrum before and after filtering. Need to use the function: function fir1 with window function design FIR filter design 2. Using a GUI interface (Figure 1) complete the following functions: 1) an input speech signal, the speech signal in the time domain to draw graphs and spectrum 2) adding noise to the speech signal processing, draw diagrams and time-domain plus noise spectrum after 3) to set the filter performance, using several different methods designed to filter letter after adding noise filtering, draw the frequency response curve of each )

OFDM Modulation and Demodulation Matlab Source Code

这个函数用于多目标跟踪数据关联，结合了最近邻数据关联个CJPDA数据关联算法，每个目标分配最多一个量测(This function is used for multi-target tracking data association, combined with nearest neighbor data association a CJPDA data association algorithm, each target allocation up to a measurement)

本文講述了一個基於FAN4800 連續PFC 前端的雙管正激電源的功率級設計。回顧了這種電源的設計選擇。討論的實際課題包括功 率器件選型，電磁設計，佈局和電磁干擾 (EMI)，目的在於幫助工程師加速並改善其設計。(This article about a front-end based on the FAN4800 PFC consecutive two-transistor forward power stage power supply design. Review this power supply design options. The actual topics discussed include the selection of power devices, electromagnetic design, layout, and electromagnetic interference (EMI), designed to help engineers to speed up and improve its design.)

1Dimension of SLAM asks the following question: “Is it possible for an autonomous vehicle to start in an unknown location in an unknown environment and then to incrementally build a map of this environment while simultaneously using this map to compute vehicle location ?