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[matlab] IIRButterworthfilter.m DL : 0: Script to design an IIR Filter low pass using Butterworth & lineal transformation to convert from analogic to digital a prototype filter. by actinio vjgonzalezg@gmail.com :) It plots: 1-Frecuency response of the filter impulse. 2-Magnitude response of the filter. 3-phase of the frecuency response. 4-Error of aproximation in bands. It determines error of máximun aproximation on each band and the RMS value for the reject and pass band respectively then, obtains plots of the first 50 samples for the following entries: a)An rectangular pulse as the half of the longitud of the filter in n=0 b)A senoidal wave with amplitude =1 & frecuency 0.2 Fs. c)A senoidal wave with amplitude = 1. & frecuency= 0.25 Fs. d)A senoidal wave with amplitude = 1. & frecuency= 0.375 Fs.-Script to design an IIR Filter low pass using Butterworth & lineal transformation to convert from analogic to digital a prototype filter. by actinio vjgonzalezg@gmail.com :) It plots: 1-Frecuency response of the filter impulse. 2-Magnitude response of the filter. 3-phase of the frecuency response. 4-Error of aproximation in bands. It determines error of máximun aproximation on each band and the RMS value for the reject and pass band respectively then, obtains plots of the first 50 samples for the following entries: a)An rectangular pulse as the half of the longitud of the filter in n=0 b)A senoidal wave with amplitude =1 & frecuency 0.2 Fs. c)A senoidal wave with amplitude = 1. & frecuency= 0.25 Fs. d)A senoidal wave with amplitude = 1. & frecuency= 0.375 Fs.
Date : 2025-12-24 Size : 2kb User : actinio
[matlab] buttord-digital-filter-design DL : 0: 通带截止频率 =2 4k rad/s，阻带截止频率 =2 8k rad/s，通带波纹系数 =0.3dB, 阻带波纹系数 =50dB,采样频率fs=20000Hz。-The digital filter are the digital signal processing important content, the digital filter may divide into IIR and the FIR two main kinds. As for the IIR digital filter design, we need the help of analog prototype filter, and then transform analog filter into digital filter.
Date : 2025-12-24 Size : 9kb User :
[matlab] Hand-Gesture-Recognition DL : 0: Hand Gesture Recognition NOTES: 1) For the details of the algorithm investigate the following images: -AlgorithmOverall.jpg -MKRoDAlgorithm.jpg 2) The prototype is implemented on MATLAB 7.0 and revised in MATLAB 7.10.0 3) The backgrounds of input images have to be purely ‘black’ and the details of the content(palms, fingers) must be clear for accurate recognition of the ASL. 4) A reduced ASL dataset is used. The dataset contains the following ASL gestures: "b,c,h,i,o,l,y". ---------------------------------------------------------------- Use execHGR.m inside the Project folder in order to execute the program. I hope you will enjoy it.-Hand Gesture Recognition NOTES: 1) For the details of the algorithm investigate the following images: -AlgorithmOverall.jpg -MKRoDAlgorithm.jpg 2) The prototype is implemented on MATLAB 7.0 and revised in MATLAB 7.10.0 3) The backgrounds of input images have to be purely ‘black’ and the details of the content(palms, fingers) must be clear for accurate recognition of the ASL. 4) A reduced ASL dataset is used. The dataset contains the following ASL gestures: "b,c,h,i,o,l,y". ---------------------------------------------------------------- Use execHGR.m inside the Project folder in order to execute the program. I hope you will enjoy it.
Date : 2025-12-24 Size : 366kb User : hooman
[matlab] serial-14 DL : 0: maximum-power-pointtracking (MPPT) method focused on low-power (< 1 W) photovoltaic (PV) panels. The static and dynamic performance is theoretically analyzed, and design criteria are provided. A prototype was implemented with a 500-mW PV panel, a commercial boost converter, and low-power components for the MPPT controller. Laboratory measurements were performed to assess the effectiveness of the proposed method. Tracking efficiency was higher than 99.6 . The overall efficiency was higher than 92 for a PV panel power higher than 100 mW. This is, in part, feasible due to the low power consumption of the MPPT controller, which was kept lower than 350 μW. The time response of the tracking circuit was tested to be around 1 s. Field measurements showed energy gains higher than 10.3 with respect to a direct-coupled solution for an ambient temperature of 26 ◦ C. Higher gains are expected for lower temperatures.-maximum-power-pointtracking (MPPT) method focused on low-power (< 1 W) photovoltaic (PV) panels. The static and dynamic performance is theoretically analyzed, and design criteria are provided. A prototype was implemented with a 500-mW PV panel, a commercial boost converter, and low-power components for the MPPT controller. Laboratory measurements were performed to assess the effectiveness of the proposed method. Tracking efficiency was higher than 99.6 . The overall efficiency was higher than 92 for a PV panel power higher than 100 mW. This is, in part, feasible due to the low power consumption of the MPPT controller, which was kept lower than 350 μW. The time response of the tracking circuit was tested to be around 1 s. Field measurements showed energy gains higher than 10.3 with respect to a direct-coupled solution for an ambient temperature of 26 ◦ C. Higher gains are expected for lower temperatures.
Date : 2025-12-24 Size : 628kb User : roshan