Acc2dis

这是一个用matlab实现的人脸识别的pca方法，正确识别率不错。(err)

vedio codec demo in matlab

P3.18. An analog signal xa(t) = sin (100πt) is sampled using the following sampling intervals. In each case plot the spectrum of the resulting discrete-time signal. Ts= 0.1 ms, Ts= 1 ms, Ts = 0.01 Sec

anc 算法的反馈实现，在国外的论文中的算法的simulink实现(anc used the feedback,and realize it used the simulink)

基于最大相关熵准则的时延估计 对称稳定分布噪声环境 时延估计(Time delay estimation based on maximal entropy criterion Symmetric stable distribution noise environment Time delay estimation)

说明：  MCU控制BUCK-BOOST电路时电压反馈的解决-技术文章-模拟与电源技术(Solution of Voltage Feedback in MCU Controlling BUCK-BOOST Circuit-Technical Article-Analog and Power Supply Technology)

This code is an interesting version of noise production. this produced noise in controlled manner to display clouds. same code may be used to develop several natural random phenomenon

信号处理，有关自适应滤波器噪声抵消的应用；效果比较好，对学自适应滤波有一定的帮助。(Signal processing, the application of adaptive noise cancellation filter results were better for learning adaptive filter has some help.)

耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(Cochlear substantially equivalent to a filter set, cochlear filter is used on logarithm frequency scale, under the 1000 hz, the perception of the human ear and a linear relationship with frequency In more than 1000 hz, the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula )

基于matlab平台的GPS仿真.pdf 是一篇关于GPS仿真的详细硕士毕业论文 对于研究GPS系统有很大帮助(gps receiver based on matlab )