Simulations-for-Radar-Systems-Design

说明：  观察高斯序列 的时域和幅频特性。 ①固定p=8，q分别等于2、4、8，观察它们的时域和幅频特性，了解当q取不同值时，对信号序列的时域和幅频特性的影响 ②固定q=8，p分别等于8、13、14，观察p变化对信号序列时域和幅频特性的影响，注意p等于多少时，会发生明显的泄露现象，混叠是否也随之出现？记录实验中观察到得现象，绘出相应的时域序列和幅频特性曲线(Observed Gaussian sequence in time domain and amplitude-frequency characteristics. ① fixed p = 8, q is equal to 2,4,8 respectively, to observe them in time domain and amplitude-frequency characteristics, to understand when the different values of q, the signal sequence in time domain and amplitude-frequency characteristics of ② fixed q = 8 , p is equal to 8,13,14 respectively, to observe the changes in the signal sequence p in time domain and amplitude-frequency characteristics, note that p is equal to the number when the apparent leakage phenomenon, aliasing is also gone? Records of the experiment was observed phenomenon, draw the corresponding time-domain sequence and amplitude-frequency characteristic curves)

说明：  matlab发送端程序,256位FFT,16QAM-OFDM，最后有时域和频域图形显示(matlab sender program, 256 FFT, 16QAM-OFDM, the last times and frequency domain graphics)

说明：  计算分维数的matlab程序 计算SEM图像的维数(Matlab fractal dimension calculation program to calculate the dimension of SEM images)

A basic matlab code for image blurring this code can be used to blur the given image and the blurred image can be used for comparing restoration algorithms

matlab编程实现FM信号的解调程序，里面有详细的注释。(matlab programming implementation of the FM signal demodulation process, which has detailed notes.)

等温线，matlab等温线经典程序，内置数据(Isotherms)

独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)

codigo de encriptacion de la paltaforma de cesar asi mismo engoy

实现基于卡尔曼滤波的圆球运动轨迹跟踪,程序很简单,适合初学者(Ball trajectory tracking based on Kalman filtering)

a*算法与d算法的路径规划基于MATLAB的实现(Realization of Path Planning of a* and D Algorithms in MATLAB)