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用matlab来模拟振荡器谐振腔失谐情况(Matlab oscillator used to simulate the situation of resonant cavity detuning)

This function calculates the radial derivative of an input image. Input parameters: inputImage - the image to calculate the derivative from radialFilterLength - the length of the filter to use, total length will be 2*radialFilterLength+1 centerX and centerY - the point that is considered the center of the image, for the calculation minRadius and maxRadius - the minimum and maximum radius to calculate the angular derivative for. radialApproach - set to 1 to use a radius and angle search method, or 0 for a per-pixel approach

高斯脉冲波形及其频谱波形主要应用于各种通信领域(Gaussian pulse waveform and its spectrum is mainly used in a variety of communications)

演示在给定初始位置和速度（含大小和方向）下verlet三粒子体系的二维演化运动情况(Demonstration verlet at a given initial position and velocity (including magnitude and direction) under the three-dimensional evolution of the particle system movement)

matlab 使用神经网络工具箱进行识别的例子，使用了bezdekIris数据作为实例，代码中包含数据，需用到matlab的神经网络工具箱。(matlab neural network toolbox identification using examples, the use of bezdekIris data as examples, the code contains test data, it required matlab neural network toolbox to run.)

说明：  关于带通带阻滤波器的设计，巴特沃思滤波器 压缩包里有： bendpass.m 为带通程序 bendblock.m 为带阻程序 SE144.wav 采用的声音文件，请放在 C:\下 bendpass.wav 通过带通滤波器之后的声音，保存在C:\ bendpass.wav bendblock.wav 通过带阻滤波器之后的声音，保存在C:\ bendblock.wav (on Bandpass Filter with the design, Butterworth filter bag is compressed : bendpass.m for band-pass procedures for bandstop bendblock.m procedures SE144.wav the voice file, on the C : \ under bendpass.wav through bandpass filter after the voice preserved in C : \ bendpass.wav bendblock.wav band stop filter through after the voice preserved in C : \ bendblock.wav)

用斜率的方法来求时间序列的lyapunov exponent,在非线性动力学和时间序列处理中经常用到。很实用的小程序。(slope of the methods used to the time series for the lyapunov exponent. Nonlinear Dynamics and the time sequence processing frequently used. Very small practical procedures.)

SPEAKER RECOGNITION SYSTEM

给予遗传算法的航迹规划和路径规划算法，含全部源程序，提供大家共同学习(Route planning and path planning algorithm given genetic algorithm, including all source code, provided we learn together)

主要实现图像处理中的细化，这种算法的效率非常的高，复杂度也比较小(Major refinement of image processing)