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Description: To estimate the input-output mapping with inputs x
％ and outputs y generated by the following nonlinear,
％ nonstationary state space model:
％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)]
％ + 8cos(1.2t) + process noise
％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3
％ + time varying measurement noise
％ using a multi-layer perceptron (MLP) and both the EKF and
％ the hybrid importance-samping resampling (SIR) algorithm.
Platform: |
Size: 40960 |
Author: Lin |
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Description: IS-95 Simulation (Edited Version - Easy to Learn IS-95)
By Rustam Efendi, Microwave Laboratory, STTTelkom Bandung, Indonesia
efendi_rustam@yahoo.com
Original Version by Gennady Zilberman, Ben-Gurion University (Thx Sir)
Link Rate = 9600 KBps, Packet length = 20 msec
Platform: |
Size: 4684 |
Author: zw2zab |
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Description: To estimate the input-output mapping with inputs x
％ and outputs y generated by the following nonlinear,
％ nonstationary state space model:
％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)]
％ + 8cos(1.2t) + process noise
％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3
％ + time varying measurement noise
％ using a multi-layer perceptron (MLP) and both the EKF and
％ the hybrid importance-samping resampling (SIR) algorithm. -To estimate the input-output mapping with inputs x and outputs y generated by the following nonlinear, nonstationary state space model: x (t+ 1) = 0.5x (t)+ [25x (t )]/[( 1+ x (t)) ^ (2)]+ 8cos (1.2t)+ process noise y (t) = x (t) ^ (2)/20+ 6 squareWave (0.05 (t-1 ))+ 3+ time varying measurement noise using a multi-layer perceptron (MLP) and both the EKF and the hybrid importance-samping resampling (SIR) algorithm.
Platform: |
Size: 40960 |
Author: Lin |
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Description: c++和matlab混合编程的基本的读取sir-20探地雷达数据的程序。-c++ and matlab programming mixed read basic sir-20 ground-penetrating radar data.
Platform: |
Size: 2744320 |
Author: 精灵白鹤 |
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Description: 粒子滤波程序说明，关于雷达的，目标检测与跟踪-partical filter
Platform: |
Size: 16384 |
Author: zhoutongchi |
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