DFT

Matlab教程 浅显易懂 推荐初学者学习(Matlab Tutorial for beginners to learn in simple recommendation)

题目：离散富立叶变换（DFT）和频谱分析.matlab实现 1信号函数h(t)= e-a*t*tsin(2πft)2编程计算的离散富立叶变换（DFT）和IDFT图像。3计算振幅谱，相位谱以及检测信号主频(Title: Discrete Fourier Transform (DFT) and spectral analysis. Matlab function to achieve a signal h (t) = ea* t* tsin (2πft) 2 programming computing discrete Fourier transform (DFT) and IDFT image. 3 Calculation of the amplitude spectrum, phase spectrum, as well as detection of signal frequency)

蒙特卡罗法模拟高斯白噪声激励下二自由度振子的瞬态响应(Monte Carlo simulation of Gaussian white noise excitation vibration two degrees of freedom oscillator)

说明：  堆栈的应用，堆栈的存储结构已及常用的基本操作(The application stack, stack, and used storage structure has been the basic operation of)

功能描述： 小数延迟FIR滤波器，对参考阵元信号signal_ref进行 length(tau) M次延迟，分别得到M个阵元的采样信号 关键问题： 若τ 1.2Ts,则Delay(i) 2,tau_valid(i) 0.2Ts 若τ 0.6Ts,则Delay(i) 1，tau_valid(i) -0.4Ts 当tau_valid(i)>0或<0时，从卷积后的数据y_FIR_delay中取值启示位置不同 函数能够实现输入任意延时tau，输出信号波形与理想波形之间误差很小。( Description: fractional delay FIR filter array element of a reference signal signal_ref performed length (tau) M delay times, respectively, to obtain a sample signal array element M key question: if τ 1.2Ts, then Delay (i ) 2, tau_valid (i) 0.2Ts if τ 0.6Ts, then Delay (i) 1, tau_valid (i) - 0.4Ts when tau_valid (i)> 0 or < 0, the volume data y_FIR_delay product after the Enlightenment values at different positions function can be realized enter any delay error between tau, the output signal waveform and the ideal waveform is small.)

图像处理的源代码，matlab图像的处理方面的程序(image processing of source code, Matlab image processing procedures)

卡尔曼算法用于系统逆辨识，代码通俗易懂易修改，通用性强有收敛曲线(Kalman algorithm for system inverse identification code easy to understand and easy to modify, versatility convergence curve)

matlab编程 第二版 菜鸟入门教材。非常适合新手使用(matlab programming second edition rookie primer. Very suitable for novice use)

量子粒子群算法的matlab仿真程序，中文注释。(Quantum particle swarm algorithm matlab simulation program,)

适合初学者关于单机动目标CA,CV,Singer模型对比追踪效果，并配有讲解(For beginners, CA, CV and Singer models for single maneuvering target are compared and explained.)