Matlab code for computing and visualization: Confusion Matrix, Precision/Recall, ROC, Accuracy, F-Measure etc. for Classification
2019-12-21 20:45:19
52KB
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Fast Subspace Clustering via Sparse Representations
利用系数表示做快速子空间聚类matlabd代码
优于SSC
2019-12-21 20:01:49
18.61MB
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Matlab code for computing and visualization: Confusion Matrix, Precision/Recall, ROC, Accuracy, F-Measure etc. for Classification
2019-12-21 19:59:13
52KB
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本代码基于matlab开发，是完全自主研发的粒子群算法来求解约束多目标优化万能code，希望对学习的同学有帮助
2019-12-21 19:58:29
3KB
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local self-similarity descriptor matlab code
2019-12-21 19:53:22
269KB
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1. Overview 5
2. Simulation Setup and Block Diagram 6
2.1. Monte-Carlo Simulation Technique 6
2.2. Serial to Parallel Converter 7
2.3. /4 - DQPSK Encoder 7
2.4. Transmit Filter 7
2.5. Delays 7
2.6. Channel Simulators 7
2.7. Receive Filter 7
2.8. /4-DQPSK Decoder 7
2.9. Parallel to Serial Converter 8
2.10. Comparator and BER Counter 8
2.11. Noise Power Calculations 8
3. /4 Shifted Differential Quadrature Phase Shift Keying (DQPSK) 9
3.1. I and Q Components 9
3.2. Phase Shift Mapping 9
3.3. Constellation 9
3.4. /4-DQPSK Encoder Implementation 10
3.5. /4-DQPSK Decoder Implementation 10
4. Rayleigh Fading Envelope Generation 11
4.1. Spectral Shaping Filter 11
4.2. Fade Power Adjustment 12
4.3. Simulated Envelope 12
4.4. Faded SNR per bit 13
5. Simulation Results 14
5.1. Simulation Parameters 14
5.2. Case - I 14
5.3. Case II 15
5.4. Case III 15
5.5. Comprehensive Plot 15
5.6. Notes 15
6. MATLAB Modules for Simulation Blocks 18
6.1. Serial To Parallel Converter 18
6.2. /4-DQPSK Encoder 18
6.3. Transmit Filter 19
6.4. Rayleigh Fading Generator 19
6.5. Receive Filter 20
6.6. Coherent /4-DQPSK Decoder 21
6.7. /4-QPSK Encoder/Decoder (without Differential Encoding/Decoding) 21
7. MATLAB Source Code 22
7.1. Case-I : AWGN Channel 22
7.2. Case-II : LOS + Rayleigh Fading 23
2019-12-21 19:48:43
285KB
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