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PCA based face recognition

说明：  用窗函数法设计一个能对模拟信号进行滤波的线性相位FIR低通滤波器。抽样频率为 kHz，通带截止频率为 kHz，阻带截止频率为 kHz，要求阻带最小衰减 dB。为了降低运算量，所设计滤波器的阶数要尽可能的低(With the window method to design a filter to the analog signals of linear phase FIR low-pass filter. Sampling frequency is kHz, passband cutoff frequency kHz, stopband cutoff frequency of kHz, the minimum required stopband attenuation dB. To reduce the computation, the order of the filter designed to be as low as possible)

计算Born-Jordon时间频率分布，需要输入的参数包括信号、时间、时间和频率的平滑窗口等参数(Born-Jordon calculating time-frequency distribution of the input signals ,including signals, time, time and frequency parameters of the smoothing window and so on .)

fastslam 又称为rao-blackwillisd slam方法，源码提供fastslam1.0 和2.0的matlab源码。(fastslam also known as rao-blackwillisd slam way to provide source fastslam1.0 and 2.0 matlab source.)

本算法是一种变步长的LMS算法，可以适用于智能算法等相关技术中(this algorithm is about a variable step-size LMS adaptive filter,and can be implied in samrt antenna)

无线通信多输入多输出(MIMO)系统的仿真程序。包括程序解释和源代码。-wireless communications multiple-input multiple-output (MIMO) systems simulation program. The procedures and explain the source code.

采用MUSIC_like的方法，与传统方法不同的是，不需要估计信号源的个数，带有文献可参考(MUSIC like using a method with the traditional method is different, it does not need to estimate the number of sources, with documents refer)

MMSE信道检测的代码，为了区分辨别和其他信道检测的传输特性差异。(MMSE channel detection code, in order to identify and distinguish the difference between the transmission characteristics of the other channel detection.)

neural network_based face detectionw基于神经网络实现人脸识别的论文(neural network_based face detection)

　多输入多输出正交分频多工模拟器。 　　 　　正交分频多工:OFDM模拟器(外层函数) 　　 　　 　　create_channel:产生一个瑞利衰落信道复用,解的天线配置、正交分频多工结构、power-delay档案。 　　 　　 　　svd_decompose_channel:既然全网络知识是假设,在并行传输奇异值模式。这个函数分解这些频道模式。 　　 　　 　　BitLoad:适用bit-loading算法来实现预期的钻头和能量 (MIMO OFDM Simulator: OFDM.m: OFDM Simulator (outer function) create_channel.m: Generates a Rayleigh fading frequency-selective channel, parametrized by the antenna configuration, the OFDM configuration, and the power-delay profile. svd_decompose_channel.m: Since full channel knowledge is assumed, transmission is across parallel singular value modes. This function decomposes the channel into these modes. BitLoad.m: Apply the bit-loading algorithm to achieve the desired bit and energy allocation for the current channel instance. ComputeSNR.m: Given the subcarrier gains, this simple function generates the SNR values of each channel (each singular value on each tone is a separate channel). chow_algo.m: Apply Chow s algorithm to generate a particular bit and energy allocation. EnergyTableInit.m: Given the SNR values, form a table of energy increments for each channel. campello_algo.m: Apply Campello s algorithm to converge to the optimal bit and energy allocatio)