MATLAB RGB色彩空间转换

Pass the specification values to the object rather than accepting the default values for N, Fc1, and Fc2. Include the sampling frequency Fs as the final input argument. Design the filter and plot the results.

模拟退火算法，经过调试可以运行，效果不错(simulated annealing algorithm which has been tested with good performance)

这个有中文注释，看得明白，包括主成分分析、因子分析、贝叶斯分析，BP神经网络的整个训练过程。( The Chinese have a comment, understand it, Including principal component analysis, factor analysis, Bayesian analysis, The entire training process BP neural network.)

MATLAB 下的数字信号处理实现示例 附录一 信号、系统和系统响应 1、理想采样信号序列 （1）首先产生信号 x(n),0<=n<=50 (MATLAB under the realization of digital signal processing examples in Appendix 1 signal, systems and systems to respond to one, the ideal sampling signal sequence (1) First of all, have a signal x (n), 0 )

Designs a linear phase FIR lowpass filter such that it: - minimizes the maximum passband ripple - has a constraint on the maximum stopband attenuation( This is a convex problem. minimize delta s.t. 1/delta <= H(w) <= delta for w in the passband |H(w)| <= atten_level for w in the stopband where H is the frequency response function and variables are delta and h (the filter impulse response). )

基于ADABOOST的人脸检测代码，使用继承的策略，包括特征的计算，提取，ADABOOST训练，级联，最后训练出数据，还有注释，可以帮助大家研究ADBOOST(face detection code based on ADABOOST using inheritance strategies, and it includs the calculation and extraction of features, the training and cascade of ADABOOST, and the data will be trained out at last,annotations is also given as well , it can help you research ADBOOST)

这是一个介绍Matlab7.0的工具书，内容简单基础，适合初学者。(This is a presentation tool Matlab7.0 book, the content is simple foundation for beginners.)

MATLAB程序设计基础教程的视频教程，对初学者比较有帮助(MATLAB Programming Essentials video tutorial for beginners and more help)

对异常声音做时延的模拟，并得出四个模拟麦克风接收的音频信号。(On the unusual sound of analog delay to do, and come to the microphone to receive the four analog audio signals.)

求解O-S方程特征值，可以适用于多种条件下的O-S方程特征值计算(To solving OS Equation characteristic value, can be applied to a variety of conditions OS equation eigenvalue calculation)