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基于高斯滤波的数值预测具体详细的matlab程序。(The specific details of the MATLAB program about numerical prediction based on Gauss filter)

GENERAL POWER ELECTRONICS SIMULIK MODELS

铱星系统的空中接口采用QPSK调制，发送滤波器采用平方根升余弦滤波器，该程序是铱星系统的发送信号仿真模型。(Iridium air interface using QPSK modulation, transmit filter using square root raised cosine filter, the program is sending signals Iridium system simulation model.)

说明：  一个多目标跟踪的matlab代码,里面附有说明文档.其中背景差分法可以实现实时更新.该代码在检测与跟踪少量目标时效果很好,但是跟踪目标大于8后,效果下降很多(A multi-target tracking matlab code, which accompanied by documentation. Including real-time background subtraction method can be updated. The code in small target detection and tracking works well, but the tracking target is greater than 8, the effect of decreased number of)

三元半波偶极子线性阵列的辐射功率的求解函数(Half-wave dipole linear array radiation power)

该文给出了一种利用matlab系统实现频谱分析与显示的方法。该方法对语音信号进行基于FFT的短时频谱分析，频谱图的伪彩色映射及显示。(This paper presents a system implementation using matlab spectrum analysis and display methods. The method is based on the speech signal short-time FFT spectrum analysis, spectrum and display pseudo-color mapping.)

文档中介绍了matlab数值分析的方法，并且有一些实例。(The document describes the method of numerical analysis matlab, and there are some examples.)

16QAM预失真 通过信道 及附加白噪声(16QAM pre-distortion by the channel)

用 MATLAB 编写的 模糊C均值聚类法源程序 和模糊k均值聚类法源程序,比较实用。(using MATLAB fuzzy c-means clustering source and fuzzy k-means clustering source, more practical.)

信号与系统软件实验工具箱，本系统包括七个实验，分别是：信号的时域基本运算、连续信号的卷积与连续时间系统的时域分析、离散信号的卷积与离散时间系统的时域分析、信号的频域分析、连续信号的采样与恢复、系统的频域分析、信号的幅度调制与解调。为了加强学生的计算机编程能力和应用能力，所有实验均提供设计性实验内容，让学生参与编程。本系统既可作为教师教学的实验演示，又可作为学生动手实验的实验系统。(Signals and Systems Software experimental toolbox, the system includes seven experiments, namely: basic operations signals in time domain, the convolution of continuous signals and continuous-time system time domain analysis, convolution of discrete signals and discrete-time systems when domain analysis, frequency domain signal analysis, continuous signal sampling and recovery, system frequency domain analysis, signal amplitude modulation and demodulation. In order to strengthen the student s computer programming skills and ability to provide all the experiments were designed experiment content, allowing students to participate in programming. This system can be used as experimental demonstration of teaching, but also as a student hands-on experiments the experimental system.)