AudioFeatures

说明：  自己编的MATLAB计算复杂潮流的程序，用的幅度和相角(Their series trend of the computational complexity of the program MATLAB)

用基于 Matlab 的小容量 FFT (比如 256×256)程序，将取样窗口划分为 若干个全等的小矩形,对每个小矩形内离散点的复振幅作 FFT 变换,然后将所有变 换结果叠加，再乘以复数相位因子,相当于对整个物面上点进行菲涅耳衍射计算， 利用这种方法可以迅速的实现高精度的轴对称傍轴光学系统中的激光衍射计算 (With a small volume based on Matlab FFT (eg 256 × 256) procedure to sample window divided into a number of small identical rectangles, each small rectangle of discrete points within the complex amplitude for the FFT transform, and then transform the results of all the superposition multiplied by the complex phase factor, the equivalent point on the object plane Fresnel diffraction calculation, the use of this method can rapidly achieve high-precision optical system axis of symmetry in the paraxial calculation of laser diffraction)

edge detector using Sobel and Gradient Operator in Matlab

遗传算法求解VRPTW,可运行，附带说明(VRPTW-GA Genetic Algorithms for VRPTW Solution, Running, with Description)

系统容量与误块率的统计函数，适合在仿真平台中使用(system capacity and block error rate statistics function, suitable for the use of simulation platform)

子空间法计算DOA AOA，ESPRIT旋转不变法程序(Subspace method DOA AOA, ESPRIT rotation invariant method program)

This is an archive for background remove images.

使用matlab进行仿真，还有pca降维，kl变换方法进行人脸识别的参考论文(Using MATLAB simulation, and the PCA dimension reduction, the KL transform method for face recognition reference papers)

支票印鉴图的R、G、B三个分量的显示图像并将RGB图转换为灰度图像(Check seal map R, G, B three components of the display image was converted to grayscale and RGB images)

数字基带系统将数字信号从时域上看时数字滚降，需要画出滚降前后的波形展示出来。频域上带宽变化了。输入滤波器之前的波形与采样判决之后的波形。采样判决前的频谱。 采样判决后的码型。 2、眼图（采样判决之前的眼图）（信噪比大眼图清晰） 3、误码曲线，（横坐标时信噪比，纵坐标时误码率） 4、Arfa变化对误码特性的影响，变好还是变差(变好)，眼图清晰度变化（清晰），传递函数的带宽的变化。（带宽越大）(1.Digital baseband system point of view the digital signal from the time domain when the number of roll-off, you need to draw the waveform displayed before and after the roll-out. The frequency domain, the bandwidth change. Input filter and sample ruling before the wave after wave. Sample pre-judgment spectrum. Sampling pattern after the verdict. 2, the eye diagram (eye before sampling decision) (SNR big eye clear) 3, the error curve (abscissa when the signal to noise ratio, bit error rate when the vertical axis) 4, Arfa impact of change on BER performance, get better or worse (getting better), change of eye-definition (clarity), the transfer function of the bandwidth changes. (The greater the bandwidth))