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Description: SAR回拨模拟及CS算法成像，参考书：合成孔径雷达成像原理（皮亦鸣）-CS algorithm for SAR call-back simulation and imaging, reference books: Synthetic aperture radar imaging principle (PI Yi-ming)
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Size: 2048 |
Author: 李瑞英 |
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Description: 光伏并网逆变器SIMULINK仿真程序，采用双闭环PI调节，并且加入重复控制-PV ,simulink ,repetive control, PI
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Size: 11264 |
Author: chenliyang |
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Description: PI Control of PMSM motor-PI Control of PMSM motor..
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Size: 17408 |
Author: maneesh |
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Description: Direct PI control of PMSM
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Size: 17408 |
Author: maneesh |
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Description: 层次分析法（AHP）是进行评估的一种常用方法，其中层次分析法中求随机一致性指标是该方法的关键一步。本程序即实现的求解PI的程序-AHP is a common method of assessment, in which AHP seek random consistency index is a key step in the method. This procedure that is implemented procedures for solving PI
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Size: 1024 |
Author: 李森 |
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Description: usfull file designed in matlab
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Size: 132096 |
Author: zeyad |
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Description: 对基带数字通信的位同步过程进行了仿真，采用Gardner算法，没有用插值。符号用SRRC进行脉冲成形，环路滤波器没有用PI回路，是简单的alfa，1-alfa低通滤波，NCO调整也比较简单。-Baseband digital communications for the bit synchronization process of the simulation, using Gardner algorithm, did not use interpolation. Carried out with SRRC pulse shaping symbols, did not use PI loop filter circuit is a simple alfa ,1-alfa low-pass filter, NCO is also relatively simple to adjust.
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Size: 1024 |
Author: 鲁信 |
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Description: Induction machine PWM control using PI and ANFIS
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Size: 23552 |
Author: venkat |
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Description: 模糊RBF网络逼近和混合Pi-Sigma神经网络逼近-Fuzzy RBF and Pi-Sigma Approaching
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Size: 2048 |
Author: lsy |
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Description: 设计一个IIR数字低通滤波器， 逼近一组模拟滤波器的指标参数（通带截止频率Wp=2*pi*2000rad/s,阻带边界频率Ws=2*pi*3000rad/s,通带波纹 Rp=3db, 阻带衰减Rs=15db, 采样频率f=10000Hz）； 分别用脉冲响应不变法和双线性变换法实现设计，列出传递函数并描绘模拟和数字滤波器的幅频和相频响应曲线。用上述设计滤波器完成几组给定信号的滤波，证明滤波器的有效性和滤波范围限制.-Design a IIR digital low-pass filter, approaching a group of analog filters indicator parameters (pass-band cut-off frequency Wp = 2* pi* 2000rad/s, stop-band edge frequency Ws = 2* pi* 3000rad/s, pass-band ripple Rp = 3db, stop-band attenuation Rs = 15db, the sampling frequency f = 10000Hz) were used to change the impulse response method and bilinear transformation method for design, list and describe the transfer function of analog and digital filter amplitude-frequency and phase-frequency response curve. A filter was designed with the completion of the above-mentioned groups of a given signal filtering, to prove the effectiveness of filters and filter limit
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Size: 71680 |
Author: 刘文珍 |
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Description: 1.设计自适应信号分离器，用以从白噪声中提取周期信号。其中选取正弦信号s=sin(2*pi*t/10)为周期信号，宽带噪声信号为高斯白噪声，设置参考通道延迟为50。
2.宽带信号中的窄带干扰抑制实际上是自适应信号分离的一种应用，借助自适应信号分离器可以方便的实现窄带干扰的对消。-1. Design of adaptive signal separator, used to extract from the white noise periodic signal. The extraction of sinusoidal signals s = sin (2* pi* t/10) for periodic signals, broadband noise signal is Gaussian white noise, set the reference channel delay of 50.
2. Wideband signals in the narrow-band interference suppression is actually an application of adaptive signal separation, using adaptive signal separator can be easily achieved narrowband interference cancellation.
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Size: 1024 |
Author: wanchun |
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Description: A bandpass signal is defined by
clear all
t=-10:0.06:10
m=3*(cos(2*pi*10*t)+4*sin(2*pi*20*t))
x=6*m.*cos(2*pi*100*t)
f0=100
fmax=100
NSamples=256
Amplitude Response
plot of x(t)
figure(1)
subplot(211)
plot(t,abs(x))
xlabel( time )
ylabel( Amplitude )
subplot(212)
plot(t,angle(x- A bandpass signal is defined by
clear all
t=-10:0.06:10
m=3*(cos(2*pi*10*t)+4*sin(2*pi*20*t))
x=6*m.*cos(2*pi*100*t)
f0=100
fmax=100
NSamples=256
Amplitude Response
plot of x(t)
figure(1)
subplot(211)
plot(t,abs(x))
xlabel( time )
ylabel( Amplitude )
subplot(212)
plot(t,angle(x
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Size: 78848 |
Author: naresh |
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Description: Modelo de dos rayos de Andrea Goldsmith (figura 2.5, según expresión
2.12)
f = 0.9 frecuencia en GHz
landa = 0.3/f en m
R = -1 coeficiente de reflexión en tierra
ht = 10 altura del transmisor en m
hr = 2 altura del receptor en m
Gt = 1
Gr = 1
Pt = 1
d=10:.1:100000
phase_diff = 4*pi*ht*hr./(landa*d) aproximación
Pr = Pt*((landa/(4*pi))^2)*((abs((sqrt(Gt)./d) + (R*sqrt(Gr).*(exp(-sqrt(-1)*phase_diff)))./d)).^2)
Pr = Pt*((landa/(4*pi))^2)*(1./d).*((abs((sqrt(Gt)) + (R*sqrt(Gr).*(exp(-sqrt(-1)*phase_diff))))).^2)
figure(1), clf,
plot((d),10*log10(Pr/max(abs(Pr))))
grid
xlabel( log_1_0(d) )
ylabel( Potencia recibida (dBm) )- Modelo de dos rayos de Andrea Goldsmith (figura 2.5, según expresión
2.12)
f = 0.9 frecuencia en GHz
landa = 0.3/f en m
R = -1 coeficiente de reflexión en tierra
ht = 10 altura del transmisor en m
hr = 2 altura del receptor en m
Gt = 1
Gr = 1
Pt = 1
d=10:.1:100000
phase_diff = 4*pi*ht*hr./(landa*d) aproximación
Pr = Pt*((landa/(4*pi))^2)*((abs((sqrt(Gt)./d) + (R*sqrt(Gr).*(exp(-sqrt(-1)*phase_diff)))./d)).^2)
Pr = Pt*((landa/(4*pi))^2)*(1./d).*((abs((sqrt(Gt)) + (R*sqrt(Gr).*(exp(-sqrt(-1)*phase_diff))))).^2)
figure(1), clf,
plot((d),10*log10(Pr/max(abs(Pr))))
grid
xlabel( log_1_0(d) )
ylabel( Potencia recibida (dBm) )
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Size: 1024 |
Author: ramonmro |
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Description: pwm inverter with dual loop PI controller
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Size: 12288 |
Author: lucian |
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Description: This simulink model simulates the damped driven pendulum, showing it s chaotic motion.
theta = angle of pendulum
omega = (d/dt)theta = angular velocity
Gamma(t) = gcos(phi) = Force
omega_d = (d/dt) phi
Gamma(t) = (d/dt)omega + omega/Q + sin(theta)
Play with the initial conditions (omega_0, theta_0, phi_0 = omega(t=0), theta(t=0), phi(t=0)) and the system parameters (g, Q, omega_d) and the solver parameters/method.
Chaos can be seen for Q=2, omega_d=w/3.
The program outputs to Matlab time, theta(time) & omega(time).
Plot the phase space via:
plot(mod(theta+pi, 2*pi)-pi, omega, . )
Plot the Poincare sections using:
t_P = (0:2*pi/omega_d:max(time))
plot(mod(spline(time, theta+pi, t_P), 2*pi)-pi, spline(time, omega, t_P), . )
System is described in:
"Fractal basin boundaries and intermittency in the driven damped pendulum"
E. G. Gwinn and R. M. Westervelt
PRA 33(6):4143 (1986)
-This simulink model simulates the damped driven pendulum, showing it s chaotic motion.
theta = angle of pendulum
omega = (d/dt)theta = angular velocity
Gamma(t) = gcos(phi) = Force
omega_d = (d/dt) phi
Gamma(t) = (d/dt)omega+ omega/Q+ sin(theta)
Play with the initial conditions (omega_0, theta_0, phi_0 = omega(t=0), theta(t=0), phi(t=0)) and the system parameters (g, Q, omega_d) and the solver parameters/method.
Chaos can be seen for Q=2, omega_d=w/3.
The program outputs to Matlab time, theta(time) & omega(time).
Plot the phase space via:
plot(mod(theta+pi, 2*pi)-pi, omega, . )
Plot the Poincare sections using:
t_P = (0:2*pi/omega_d:max(time))
plot(mod(spline(time, theta+pi, t_P), 2*pi)-pi, spline(time, omega, t_P), . )
System is described in:
"Fractal basin boundaries and intermittency in the driven damped pendulum"
E. G. Gwinn and R. M. Westervelt
PRA 33(6):4143 (1986)
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Size: 8192 |
Author: Mike Gao |
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Description: pi/4 QPSK modulation and demodulation matlab code and explaination
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Size: 241664 |
Author: ellery |
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Description: M-file for Project 1 on line parameters and circuit models
in Chapter 3
m1.m determines the RLC parameters of the line from its physical
description and then computes
the ABCD matrix and the circuit parameters of the
series RL, nominal pi and equivalent pi model of the line.
It computes and plot the receiving-end real and reactive power
circle diagram of the line assuming that the voltage magnitude
at the sending- and receiving-end are kept constant.- M-file for Project 1 on line parameters and circuit models
in Chapter 3
m1.m determines the RLC parameters of the line from its physical
description and then computes
the ABCD matrix and the circuit parameters of the
series RL, nominal pi and equivalent pi model of the line.
It computes and plot the receiving-end real and reactive power
circle diagram of the line assuming that the voltage magnitude
at the sending- and receiving-end are kept constant.
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Size: 15360 |
Author: hacen |
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Description: 使用MATLAB仿真pi/4QPSK调制解调比较好的一篇文章，算法易懂，好实现。-Modulation and demodulation using MATLAB simulation pi/4QPSK good article, the algorithm easy to understand, to grasp.
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Size: 329728 |
Author: 王新雨 |
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Description: 三相光伏逆变之电流环+PI控制仿真simulink仿真-The three-phase PV inverter current loop control simulation simulink simulation+ PI
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Size: 18432 |
Author: 张圣杰 |
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Description: 利用BP网络实现函数逼近，本程序以cos(k*pi*p)为例进行逼近-Function approximation using BP network, the procedures to cos (k* pi* p) as an example approximation
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Size: 1024 |
Author: tanjing |
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