Blind-deconvolution-program

zernike 7乘7模板的检测算法，模板可以自己添加，附加了一部分说明文字(zernike 7 x 7 template detection algorithm, the template can add their own, additional part of the description text)

这个程序用来模拟windows计算器,为薜定宇老师<<科学运算语言MATLAB5.3程序设计与应用>>的习题而做(It is suitable for beginners to master matlab deep into the second developed a good teaching examples of great reference value)

matlab code for Perturb and Observe (P&O) Algorithm for PV MPPT

本人通过用matlab仿真，实现了BA无标度网络，非常实用的程序(I by matlab simulation to achieve a BA scale-free network, a very practical program)

利用FFT快速计算，线性排列阵子方向图。( This function computes and returns the gain radiation pattern for a linear array It uses the FFT to computes the pattern *INPUTS********** Nr ==> number of elements dolr ==> element spacing (d) in lambda units divided by lambda theta0 = steering angle in degrees winid ==> use winid negative for no window, winid positive to enter your window of size(Nr) win is input window, NOTE that win must be an Nr X 1 row vector nbits ==> number of bits used in the pahse shifters negative nbits mean no quantization is used *OUTPUTS****************** theta ==> real-space angle patternr ==> array radiation pattern in dBs patterng ==> array directive gain pattern in dBs ***************************************** )

Vector gradient of RGB image

using the maping and composite method to calculate the integration of exp(-x2/2)

3 phase induction motor

matlab人脸检测函数 以及灰度变换函数 可以直接运行的(Matlab face detection function and gray transform function can be run directly)

A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and subspace estimation is proposed. It is shown that the detector can be expressed as an anchored signal in the signal subspace and the coefficients can be estimated by the Kalman filter using only the signature waveform and the timing of the desired user.(A new blind adaptive multiuser detection s cheme based on a hybrid of the Kalman filter and subs pace estimation is proposed. It is shown that th e detector can be expressed as an anchored signa l in the signal subspace and the coefficients ca n be estimated by the Kalman filter using only th e signature waveform and the timing of the desir ed user.)