Image-Registration

说明：  摄像机参数标定，可以标定摄像机参数，进行摄像机参数标定(Camera parameter calibration)

Bee colony optimization continuous

MATLAB Link for CCS Development Tools在DSP系统设计中的应用(The Application of MATLAB Link for CCS Development Tools in the Design of DSP System)

说明：  认知无线电频谱感知方法和程序 希望对大家有用谢谢(Cognitive radio spectrum sensing methods and procedures for the hope that useful thank you)

傅里叶光学仿真，可模拟各种平顶高斯光束并对其参数进行设置。(Fourier optics simulation, can simulate a variety of flattened Gaussian beam and its parameters.)

基于costas环路的载波同步，使收发时钟频率和相位一致，环路包括四个部分乘法器和低通滤波、鉴相器、环路滤波器和数字振荡器组成(Based on the carrier synchronization of Costas loop, the frequency and phase of the transmit and receive clock is the same. The loop consists of four parts, including the multiplier and low-pass filter, phase detector, loop filter and digital oscillator.)

denoise In BayesShrink[5] we determine the threshold for each subband assuming a Generalized Gaussian Distribution(GGD) . The GGD is given by GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6) ¡ 1 < x < 1 ¯ > 0, where ® (¾ X ¯ ) = ¾ ¡ 1 X [ ¡ (3=¯ ) ¡ (1=¯ ) ]1=2 and C(¾ X ¯ ) = ¯ ¢ ® (¾ X ¯ ) 2¡ ( 1 ¯ ) and ¡ (t) = R1 0 e¡ uut¡ 1du. The parameter ¾ X is the standard deviation and ¯ is the shape parameter It has been observed[5] that with a shape parameter ¯ ranging from 0.5 to 1, we can describe the the distribution of coefficients in a subband for a large set of natural images.Assuming such a distribution for the wavelet coefficients, we empirically estimate ¯ and ¾ X for each subband and try to find the threshold T which minimizes the Bayesian Risk, i.e, the expected value of the mean square error.

灰色预测系统实验 模拟预测模糊事件matlab(The gray forecasting system experimental simulation and prediction of the fuzzy event matlab)

时频分析的其他应用,一阶时间矩的计算,也可近似计时频曲线(other application of time-frequency and one time moment distribution)

P0701：细胞边缘检测 P0702：癌细胞形态学分析 P0703：癌细胞颜色分析 比较适合Matlab图像处理初学者(P0701: Edge Detection P0702: cell morphology analysis P0703: analysis and comparison of color cancer cells Matlab image processing for beginners)