a-high-window-function-filtering

说明：  MATLAB 程式设计与应用 网络版 内容包括： MATLAB基本运算 MATLAB基本平面绘图 MATLAB基本立体绘图 简单方便的使用手册！(MATLAB programming content and applications online, including: MATLAB basic operations basic MATLAB-dimensional drawings of basic three-dimensional mapping is simple and convenient MATLAB user' s manual!)

附件包含离散信道以及各种信道编码的matlab仿真(Annex contains the discrete channels and a variety of channel coding matlab simulation)

implementation of most algorithms in Simon haykin s book titled "Neural Network a comprehensive foundation."

本程序仿真蒸汽机用于永磁同步电机并网发电的性能以及动静态特性(failed to translate)

Xamarin Essentials eBook

说明：  改进的OMP算法，利用残差变化率作为迭代终止条件，提高了运算速度(The improved OMP algorithm uses the residual change rate as the iteration termination condition, which improves the operation speed)

一个QPSK调制解调的程序，在Matlab环境下实现。(A QPSK modulation and demodulation process in Matlab environment to achieve.)

1．用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图(1. Produce sine wave, square wave, and the white noise signal with Matlab, and their time-domain waveform display 2. FFT transform, display each spectrum, where the sampling rate, frequency, length optional data 3. RMS to make maps of the three signals, power spectrum, as well as the number of RMS map 4. Restored by inverse Fourier transform IFFT signal and displays the time domain waveforms sinusoidal signal recovery)

this is a subfile for motion detection

强主动声纳信号干扰被动声探测的仿真分析.被动声探测是探测和跟踪水中噪声目标的重要手段,但强主动声纳信号的出现将对被动声探测产生很强的干扰作用,影响被动声纳对噪声目标的检测或跟踪。本文通过计算机仿真,分析被动声纳的积分时间、强主动声纳信号的强度、脉冲宽度和发射周期四个因素对强主动声纳信号干扰被动声探测程度的影响。(Simulation analysis of passive acoustic detection of a strong active sonar signal interference passive acoustic detection is an important means to detect and track water noise goals, but the emergence of strong active sonar signal will be passive acoustic detection generate strong interference effect, the impact of passive acoustic satisfied noise target detection or tracking. This paper through computer simulation, and analysis of the four factors of the integration time of the passive sonar, a strong active sonar signal intensity, pulse width, and launch cycle impact of passive acoustic detection of a strong active sonar signal interference.)