56666-PCA

GM11灰色预测模型，通过生成数据的gm(1,1)模型所得到的预测值的逆处理结果(Grey Forecasting)

包括matlab使用的经典的一百个例子。能让你从中总结出matlab的精髓(Including the use of matlab classic example of the 100. Allows you to sum up the essence of matlab)

本程序计算HSV空间的非均匀量化直方图，空间维数为36柄(HSV space, the program calculates the histogram of non-uniform quantization, space dimension of 36 handle)

Estimates the power spectral densities (PSDs) using both the ICOMP method and Mallows CL for deciding the diagonal loading.

图像的几何操作：图像旋转，图像剪切，包括旋转角度。(Geometric image operations: image rotation, image shearing, including rotation.)

植物生长模型，能够描述根中水运动的阻力。(Plant growth model, which can describe the resistant of water flow in Xylem.)

给出了MATLAB语言实现IIR滤波器的实现，源文件中还有原理方法(MATLAB language are given the realization of IIR filters, there is the principle source document method)

自适应滤波器的接相关lms算法基于matlab的实现，其中各种参数可以自行修改进行对比(Access-related adaptive filter LMS algorithm is based on the realization of matlab, in which various parameters can be modified compared)

说明：  基于matlab的蚁群算法程序代码---自寻优(Ant colony algorithm based on matlab code--- self-optimizing)

基于Matlab的一MMSE的噪声PSD的执行跟踪的语音增强算法。这个包是一所描述的算法实现在“基于MMSE的低噪声PSD的跟踪与复杂性”，由理查德亨德里克斯，理查德Heusdens和Jesper詹森，IEEE国际会议声学，语音和信号处理，03/2010，达拉斯，德克萨斯州，p.4266 - 4269，（2010年）。 该算法具有较低的复杂性，但能够准确地估计非平稳的延迟相当低噪声PSD的跟踪噪声。(Matlab implementation of an MMSE based noise PSD tracking algorithm for speech enhancement. This package is an implementation of the algorithm described in "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY", by Richard C. Hendriks, Richard Heusdens and Jesper Jensen, IEEE International Conference on Acoustics, Speech and Signal Processing, 03/2010, Dallas, TX, p.4266-4269, (2010). The algorithm has rather low complexity, but is able to accurately estimate the noise PSD for non-stationary noise with rather low tracking delay. )