SPWM_3phase_ACDC_DCDC_neg

在matlab环境中将陀螺仪加速度计以及磁传感器数据转为四元数的脚本。(The script will change accelerometers and gyroscopes magnetic sensor data into a quaternion In the matlab environment.)

这个程序是一个提取图像的LBP特征的程序，里面有可执行的m文件，有使用说明。对于一个不是太懂matlab的来说，可以直接拿来使用，附有使用说明。(This program is an extract LBP features of the image of the program executable m file with instructions for use. For a not too understand matlab can be directly used, with instructions for use.)

说明：  HSV颜色空间较RGB空间更适合人的感官视觉，在HSV空间统计图像的分布特征并用于检索比在RGB空间的效果较好。(HSV color space than RGB space is more suitable for people’s senses of sight, in the HSV spatial statistical distribution of the image and is used to retrieve than in RGB space effective.)

说明：  实际的数值是带有符号的，即可能是正数，也可能是负数，数值的正负之分如何实现？ 通过补码表示，且用一位符号位区别其正负即可。 而数值本身可以包括整数，也可以包括小数。那么，在计算机中是如何确定小数点的位置呢？ (The actual value is unsigned, which may be positive, it may be negative, positive and negative values divided how? By complement representation, and with a bit different from the positive and negative signs can be. The value itself can include an integer, it can also include decimals. Then, the computer is how to determine the decimal place?)

Deep clipping simulation on matlab

计算有一个序列数据的线性相关系数.里面调用了MATLAB内置corrcoef函数，对取数据的序列自动处理(computing line-correlation coefficient with no interp)

室内环境的人体感应是物联网应用在安保、智能家居、节能环保方面的关键问题，近年来多普勒雷达体制的微波人体感应器作为一种高性能的室内人体传感器成为了一种热门的解决方案。微波人体感应器以雷达体制主动发射微波信号，探测回波中由目标人体产生的多普勒，输出触发信号。 国内外现有微波开关面临的主要问题是静止人体目标检测。本项目系统检测人体呼吸心跳微信息，拟通过长时间累积和滤波器提取微多普勒信息检测动目标。( Of the indoor environment of the human body induction is the Internet of things application in security, smart home, energy-saving environmental protection, the key problem of doppler radar system in recent years as a kind of high performance microwave sensor body interior human body sensor has become a popular solution. Body of microwave sensor to active microwave signal launch radar system, the detection by the target echo in the bodies of doppler, trigger signal output. Of the main problems in the domestic and foreign existing microwave switch target detection is still the human body. The project system to detect human breathing heartbeat micro information, through long time accumulation and filter extract micro-doppler information detection target. )

ex5_1 I-型线性相位FIR滤波器 ex5_2 II-型线性相位FIR滤波器 ex5_3 III-型线性相位FIR滤波器 ex5_4 IV-型线性相位FIR滤波器 ex5_5 矩形窗频响 ex5_6 希尔伯特变换器设计－汉宁窗 ex5_7 低通滤波器设计－汉明窗 ex5_8 带通滤波器设计－布莱克曼窗 ex5_9 低通滤波器设计－凯塞窗 ex5_11 频率采样技术：低通，朴素法 ex5_12 频率采样技术：低通, 最优法T1 & T2 ex5_13 频率采样技术：带通, 最优法T1 & T2 ex5_14 频率采样技术：高通, 最优法T1 ex5_15 频率采样技术：差分器 ex5_16 频率采样技术： 希尔伯特变换器 ex5_17 利用Parks-McClella算法设计低通滤波器 ex5_18 用PM算法进行的带通滤波器设计 ex5_19 用PM算法进行的高通滤波器设计 ex5_20 用PM算法进行的阶梯滤波器设计 ex5_21 用PM算法进行的差分器设计 ex5_22 用PM算法进行的希尔伯特变换器设计(ex5_1 I-type linear phase FIR filter ex5_2 II-type linear phase FIR filter ex5_3 III-type linear phase FIR filter ex5_4 IV-type linear phase FIR filter rectangular window frequency response ex5_5 Hilbert ex5_6 converter design- Hanning window low-pass filter design ex5_7- Hamming window ex5_8 bandpass filter design- Blackman window ex5_9 low-pass filter design- Kaiser window ex5_11 sampling frequency: low-pass, a simple method ex5_12 sampling frequency: low-pass, optimal method T1 & T2 sampling frequency ex5_13: band-pass, optimal method T1 & T2 ex5_14 sampling frequency: high-pass, optimal method T1 sampling frequency ex5_15: differentiator sampling frequency ex5_16: Hilbert converter Parks-McClella use ex5_17 algorithm design low-pass filter PM algorithm ex5_18 with the band-pass filter design PM algorithm ex5_19 with the high-pass filter design PM algorithm used ex5_20 ladder filter design PM algorithm used ex5_21 differential design PM al)

genetic algorithm c code(genetic algorithm code c)

A skyhook surface sliding mode control method was proposed and applied to the control on the semi-active vehicle suspension system for its ride comfort enhancement. A two degree of freedom dynamic model of a vehicle semi-active suspension system was given, which focused on the passenger’s ride comfort perform-ance. A simulation with the given initial conditions has been devised in MATLAB/SIMULINK. The simula-tion results were showing that there was an enhanced level of ride comfort for the vehicle semi-active sus-pension system with the skyhook surface sliding mode controller.