OOK调制的仿真程序

indice de massa corporal em c

说明：  DSP课程例程： ① 为频率特性加频域容差图； ② 在对数幅频特性上加要求的指标标识； ③ 量化子程序的调用。(DSP courses routines: ① to increase the frequency characteristics of frequency-domain tolerances map ② in logarithmic amplitude-frequency characteristics of the indicators require additional identification ③ quantify subroutine calls.)

说明：  matlab高阶谱分析工具箱，用于高阶谱的分析(very usefull )

This simulation script set allows for an OFDM transmission to be simulated. Imagetx.m generates the OFDM signal, saving it as a windows WAV file. This allows the OFDM signal to be played out a sound card and recorded back. Imagerx.m decodes the WAV to extract the data. settings.m contains all the common settings to specify all the simulation parameters such as FFT size, number of carriers, input data source file, input and output WAV files, etc. (This simulation script set allows for an OF DM transmission to be simulated. Imagetx.m gen erates the OFDM signal. saving it as a WAV file windows. This allows the O FDM signal to be played out a sound card and recor ded back. Imagerx.m decodes the WAV to extract t he data. settings.m contains all the common set tings to specify all the simulation parameters such as FFT size, number of carriers, input data source file, input and output WAV files, etc..)

Implementation of the Murty algorithm to obtain the best K assignments. Includes the implementation of the Jonker-Volgenant algorithm. Usual applications are multiple target tracking algorithms, Joint Probabilistic Data Association (JPDA), Multiple Hypothesis Tracking (MHT), Global Nearest Neighbours (GNN), etc. Based on the original code by Jonker-Volgenant, and the Murty Matlab implementation by Eric Trautmann Can be used both from Java or Matlab. Time for a 100x100 assignment problem, with k=20: • Matlab implementation: 54.5 sec • Java implementation: 1 sec

通过设计一个二阶加权系数自适应横向FIR滤波器，对一个加随机噪声的正弦信号实现滤波。 具体设计方案为： 1，生成标准正弦信号S 2，生成等长的随机信号N 3，生成加随机噪声的正弦信号X 4，X通过参数可调数字滤波器，输出Y 5，Y与参考信号作差得到误差E 6，E通过自适应算法调整权值W 7，用LMS算法处理噪声干扰的信号，最终实现滤波器功能(A two order weighted coefficient adaptive transverse FIR filter is designed to filter a sinusoidal signal with random noise. The specific design scheme is as follows: 1, generating a standard sinusoidal signal S 2, generating an equal length random signal N 3, generating a sinusoidal signal X with random noise 4, X can adjust the digital filter by parameter and output Y 5, the difference between the Y and the reference signal is E 6, E adjusts the weight W through the adaptive algorithm 7, the LMS algorithm is used to deal with the noise interference signal, and the filter function is finally realized.)

Code source of Distribution Wigner ville

一个类似于经验模态分解的固有时间尺度分解，可以很好的和emd分解进行比较学习，程序代码完全可以运行，不缺少任何代码(A similar to the intrinsic time scale decomposition of empirical mode decomposition, the comparative study can be very good and the emd decomposition, the program code can be run completely, does not lack any code)

this m file concerning of the subject of interpolation in numerical math of engineering

matlab m - file for semi converter with R load