shili58

多载波的采用二进制移相键控BPSK调制的性能matlab仿真(none)

Mathematic Algorithm to make complexion of two images

VERY USEFUL BOOK FOR DESIGNERS

FSK调制解调MATLAB源代码 高斯白噪声 调制 眼图 信噪比 (FSK modulation and demodulation MATLAB source code modulation Gaussian white noise signal eye diagram )

说明：  关于matlab gui的能读取avi文件的例子，很用啊(About matlab gui s can read avi file example, it is with ah)

信号与系统的实验报告：信号系统的系统响应，应用FFT对信号进行频谱分析，用双线性变换法设计IIR滤波器，用窗函数设计FIR滤波器(Signal and system test report: system response signaling system, application FFT spectrum analysis of signals using bilinear transform IIR filters, FIR filter design using window function)

汽车高斯曲面拟合 --- 2程序，以适应到表面二维高斯： 子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的 这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。 autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。 autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种(Auto Gaussian Surface fit --- 2 routines to fit a 2D Gaussian to a surface: zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit. autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals))

现代移动通信中的调制技术研究及Matlab实现(Modulation of modern mobile communication technology research and Matlab,)

锁相环相关知识，包含二阶 三阶 锁相环的介绍以及编程实例汇总(Phase-locked-related knowledge, presentation and programming examples included 2nd and 3rd order PLL summary)

To de-noise pictures the salt-pepper noise using an adaptive median filter