bayescode

IIR Filter Coefficient Quantization Example ％ written by DRB on 6-Dec-2004 for ECE3703 ％ ％ Looks at unquantized filter (ideal), direct form, and cascaded second ％ order section (SOS). (IIR Filter Coefficient Quantization Exam ple% written by DRB on 6-Jan-2004 for ECE3703%% Looks at unquantized filter (ideal). direct form, and cascaded second order section% (SOS).)

cognitive radio, GUI interface, dynamic traffic genration

使用MATLAB的GUI接口设计一个简单的计算器，实现两个数的基本运算。(Use the GUI interface of MATLAB to design a simple calculator,realizing basic operations of two numbers.)

说明：  3d spiht code for image compression

基于SVPWM的三电平逆变的matlab仿真，计算互信息非常有用的一组程序,包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度。( Based on SVPWM three-level inverter matlab simulation, Mutual information is useful to calculate a set of procedures, Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation.)

The problem of image registration subsumes a number of problems and techniques in multiframe image analysis, including the computation of optic flow (general pixel-based motion), stereo correspondence, structure from motion, and feature tracking. We present a new registration algorithm based on spline representations of the displacement field which can be specialized to solve all of the above mentioned problems. In particular, we show how to compute local flow, global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of the above problems. Using a spline-based description of the flow removes the need for overlapping correlation windows, and produces an explicit measure of the correlation between adjacent flow estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D projective scene geometry. We also provide results on a number of standard motion sequences.

Hespanha混杂系统模拟仿真教程的Matlab算例4(Matlab example 4 Simulation of hybrid systems (Hespanha))

Calculation of gradient and objective for Least Squares (binary classification)

近似熵的matlab实现程序Code for computing approximate entropy for a time series(Approximate entropy )

使用统计方法进行系统不确定性的分析，包含m函数和Simulink模型(Using Statistics for Uncertainty Analysis in System Models)