fourierslice

RGB, YCbCr, HSV, HSL, CIE Lab, CIE Luv, CIE Lch等颜色空间相互转化的matlab实现。 (RGB, YCbCr, HSV, HSL, CIE Lab, CIE Luv, Lch CIE color space such as conversion of the Implementation of Matlab.)

Mtalba Code for MPEG 1 2 3 4

HHT中一种新的包络线算法——分段幂函数法，自己编写的。(segment power function)

DWT base watermarking

scrollbar重绘。很好的例子程序，可以用来学习一下。(scrollbar redrawn. Good example of a program that can be used to learn about.)

加速度传感器测得的过载信号，通过matlab处理，得到光滑曲线。 其中有滤波，频谱等计算。(The overload signal measured by the acceleration sensor is processed by MATLAB, and the smooth curve is obtained. There are filters, spectrum and other calculations.)

用C或者matlab编写基2 FFT快速算法，输入点数是2的幂次方，序列视作既包含实部也包含虚部。要求一个函数计可以做正变换，也可以做反变换。编写输入序列，先进行正反向变换，得到离散频谱，再将离散频谱加载到输入端进行验证，从输出端获取序列，和原来的序列进行比较，看看是否相等。序列可随意设为2的幂次项！(Written by C or matlab base 2 FFT fast algorithm, the input power of 2 points is the sequence includes both the real part as the imaginary part is also included. Require a meter to do is change the function, you can also do the inverse transform. The preparation of the input sequence, first the forward and reverse transformation, discrete spectrum, discrete spectrum and then loaded into the input validation, access to sequence from the output side, and the original sequences were compared to see if equal. Sequence can be arbitrarily set to a power of 2 items!)

说明：  有关语音的一篇文章 详细介绍了语音MATLAB实现 并有源程序(An article in the voice of the voice MATLAB implementation details and a source)

This function calculates the RND from a cross-section of put prices using the PCA method as described in O. Bondarenko. ``Recovering Risk-Neutral Densities: A New Nonparametric Approach, UIC working paper, September 2000. (This function calculates the RND from a cross-section of put prices using the PCA method as described in O. Bondarenko. ``Recovering Risk-Neutral Densities: A New Nonparametric Approach, UIC working paper, September 2000. )

无香粒子滤波的一个matlab例程，其中有ekf,ukf,pf,upf(In these demos, we demonstrate the use of the extended Kalman filter (EKF), unscented Kalman filter (UKF), standard particle filter (a.k.a. condensation, survival of the fittest, bootstrap filter, SIR, sequential Monte Carlo, etc.), particle filter with MCMC steps, particle filter with EKF proposal and unscented particle filter (particle filter with UKF proposal) on a simple state estimation problem and on a financial time series forecasting problem. The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar-xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this di)