face_detection

MATLAB CODE FUNCTION CASCADE DETECT FACE AND RECOGNITION

描述一个潜入函数，说明了一个马尔科夫跳变系统在已知转移概率下的仿真 (Describe a dive into the function，illustrate a markov jump to change system known probability in transfer simulation )

Simulink® and Stateflow® model of a full duplex Bluetooth communication link transmitting HV1, HV2, HV3, and SCORT [1] voice packets, and DM1 data packets. A system parameters block configures the whole model s packet type, slot pair and channel type. Stateflow is used to implement the acknowledgement scheme for the data packets and the SCORT receiver state machine. NOTE: A version of this model which works with the current release of MATLAB and Simulink is shipped with the Communications Blockset™ . The model includes wave file I/O, CVSD speech coding, HEC, payload CRC for DM1, FEC, framing, GFSK Modulation, frequency hopping, hop sequence generation, an 802.11b interferer, BER meters, throughput meters, plus spectrum, timing and spectrogram plot (which can be turned-off).

产生一个随机信号和两个不同频率但频率间隔很小的正弦信号，要求对两信号之和进行如下分析： （1） 求该随机信号的自相关性系数、自相关函数，画出对应的图形； （2） 利用不同的参数建模方法求出两个随机信号的功率谱； （3） 利用极大似然估计、递推最小二乘法等常用的参数估计方法估计所建模型，包括AR模型、MA模型和ARMA模型的的参数，阶次自定；并与Matlab工具箱里的一些建模函数的运算结果进行比较； （4） 利用陷波滤波和MUSIC滤波方法对该信号的频谱进行估计； （5） 利用Wiener滤波、LMS滤波对该含噪声的正弦信号进行去噪声处理； （6） 假设该信号是一个飞行器的某个方向的线位移信号，可否利用Kalman滤波对该信号进行滤波？ （7） 利用高阶谱理论对该信号进行谱估计和相应的AR模型、MA模型和ARMA模型估计； （8） 利用小波变换（变换函数可以直接用Matlab里的函数）对该信号进行去噪声处理，并和前面的去噪声方法进行比较。 (Produce a random signal and two different frequency but frequency interval small sine signals, required to make the following analysis of two signals: (1) for the random signal from the correlation coefficients, the autocorrelation function and draw the corresponding graphics (2) make use of different parameters modeling method for out two random signal power spectrum (3) using maximum likelihood estimation, recursive least square method and common parameters estimation method estimates that the model, including AR model, MA model and the parameters of the ARMA model we, order time decided oneself With Matlab toolbox and some of the modeling function is used compared the (4) use trapped wave filter and MUSIC of the signal filter method of spectrum to estimate (5) use Wiener filtering, LMS filtering on the sinusoidal signal with noise to noise treatment (6) assumes the signal is a vehicle of a certain direction of displacement signal line, can you use Kalman filtering on the)

说明：  matlab有优化处理问题，是模式识别等机器学习的关键(There matlab optimization problems is the key to pattern recognition and other machine learning)

应用matlab计算心理声学参数loudness的工具。(loudness calculation)

matlab实例算法1 之图形应用篇 实用 对初学者大有裨益(Matlab algorithm of graphic example 1 articles )

matlab分析输出信号频谱分析的程序，包括读入输入文件等相关程序(matlab fft analyze program)

A self-organizing map (SOM) or self-organizing feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a low-dimensional (typically two-dimensional)

Machine Learning in Action. E-Book.