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หัวข้อ |
บรรยาย (จำนวน ชม.) |
ปฏิบัติ (จำนวน ชม.) |
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1.Introduction to Digital Communication |
2 |
0 |
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2.Coding for Discrete Sources |
3 |
0 |
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3.Coding for Sequences of Source Symbols |
2 |
0 |
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4.Sources with Memory and the Lempel-Ziv Algorithm |
2 |
0 |
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5.Quantization |
2 |
0 |
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6.High-rate Entropy-coded Quantization |
2 |
0 |
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7.Analog Sources: Waveform Sequences |
3 |
0 |
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8.Waveforms as Vectors in Signal-space |
2 |
0 |
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9.Introduction to Channels and PAM |
2 |
0 |
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10.QAM |
2 |
0 |
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11.QAM and Noise |
2 |
0 |
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12.Noise and Gaussian Random Processes |
2 |
0 |
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13.Gaussian Noise, Covariance and Spectral Density |
2 |
0 |
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14.Orthonormal Expansions |
2 |
0 |
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15.Detection |
3 |
0 |
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16.The Irrelevance Theorem and Orthogonal Signal Sets |
2 |
0 |
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17.Wireless Communication Systems |
2 |
0 |
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18.Input/output Models for Wireless |
2 |
0 |
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19.Stochastic Wireless Models |
2 |
0 |
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20.Channel Measurement and Rake Receivers |
2 |
0 |
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21.Coding, IS-95 and CDMA |
2 |
0 |
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รวม |
45 |
0 |