| 1 | signal to noise ratio | SNR | 140 | 16 | 2.001735 | 1010.0011,1010.0200,etc |
| 2 | additive white gaussian noise | AWGN | 64 | 11 | 1.001278 | 1010.0182,1010.0937,etc |
| 3 | theorem | Theorem | 279 | 11 | 2.001967 | 1010.0354,1010.1690,etc |
| 4 | multiple input multiple output | MIMO | 136 | 10 | 1.002464 | 1010.0200,1010.0937,etc |
| 5 | channel state information | CSI | 157 | 9 | 1.00324 | 1010.1309,1010.2571,etc |
| 6 | multiple access channel | MAC | 106 | 7 | 2.007102 | 1010.0344,1010.1071,etc |
| 7 | singular value decomposition | SVD | 30 | 7 | 1.000466 | 1010.0762,1010.2198,etc |
| 8 | restricted isometry property | RIP | 37 | 6 | 1.000995 | 1010.0011,1010.0014,etc |
| 9 | ordinary differential equation | ODE | 116 | 6 | 1.002249 | 1010.0161,1010.2414,etc |
| 10 | belief propagation | BP | 153 | 6 | 2.001882 | 1010.0333,1010.2441,etc |
| 11 | low density parity check | LDPC | 53 | 5 | 2.003404 | 1010.0333,1010.2030,etc |
| 12 | maximum a posteriori | MAP | 53 | 5 | 1.000956 | 1010.0490,1010.1648,etc |
| 13 | markov chain monte carlo | MCMC | 12 | 5 | 1.000359 | 1010.1696,1010.4820,etc |
| 14 | stochastic differential equation | SDE | 66 | 5 | 1.002499 | 1010.3756,1010.4447,etc |
| 15 | lemma | Lemma | 91 | 4 | 2.001097 | 1010.0154,1010.0396,etc |
| 16 | decode and forward | DF | 57 | 4 | 1.002831 | 1010.0182,1010.3071,etc |
| 17 | single input single output | SISO | 10 | 4 | 2.000676 | 1010.0316,1010.0937,etc |
| 18 | expectation maximization | EM | 15 | 4 | 2.001259 | 1010.0581,1010.2198,etc |
| 19 | time division multiple access | TDMA | 24 | 4 | 2.001512 | 1010.0937,1010.2667,etc |
| 20 | principal component analysis | PCA | 64 | 4 | 2.001335 | 1010.1445,1010.1601,etc |
| 21 | maximum likelihood | ML | 25 | 4 | 1.000775 | 1010.2030,1010.5532,etc |
| 22 | linear programming | LP | 107 | 4 | 2.002523 | 1010.2433,1010.6020,etc |
| 23 | base station | BS | 121 | 4 | 2.005081 | 1010.2692,1010.3319,etc |
| 24 | fractional brownian motion | FBM | 60 | 4 | 2.00105 | 1010.2895,1010.3136,etc |
| 25 | discrete fourier transform | DFT | 33 | 3 | 2.001022 | 1010.0014,1010.4612,etc |
| 26 | orthogonal frequency division multiplexing | OFDM | 56 | 3 | 2.001826 | 1010.0189,1010.2667,etc |
| 27 | fast fourier transform | FFT | 6 | 3 | 1.000115 | 1010.0189,1010.2686,etc |
| 28 | bit error rate | BER | 8 | 3 | 2.000688 | 1010.0200,1010.3469,etc |
| 29 | mean square error | MSE | 11 | 3 | 1.000461 | 1010.0320,1010.0426,etc |
| 30 | interference channel | IC | 72 | 3 | 2.008268 | 1010.0344,1010.4911,etc |
| 31 | minimum description length | MDL | 24 | 3 | 2.002382 | 1010.0694,1010.2157,etc |
| 32 | partial differential equation | PDE | 20 | 3 | 2.00091 | 1010.0762,1010.1761,etc |
| 33 | gradient newton galerkin algorithm | GNGA | 73 | 3 | 2.001585 | 1010.0775,1010.1054,etc |
| 34 | time division duplex | TDD | 12 | 3 | 1.000391 | 1010.0937,1010.2667,etc |
| 35 | frequency division duplex | FDD | 7 | 3 | 1.000253 | 1010.0937,1010.2667,etc |
| 36 | alexandrov bakelman pucci | ABP | 11 | 3 | 1.00049 | 1010.1292,1010.5182,etc |
| 37 | discrete memoryless channel | DMC | 17 | 3 | 2.001325 | 1010.1309,1010.4820,etc |
| 38 | directed acyclic graph | DAG | 54 | 3 | 2.004419 | 1010.1445,1010.3425,etc |
| 39 | parabolic anderson model | PAM | 11 | 3 | 1.001556 | 1010.1512,1010.4868,etc |
| 40 | symbol error rate | SER | 5 | 3 | 1.000523 | 1010.1605,1010.4548,etc |
| 41 | constant mean curvature | CMC | 179 | 3 | 2.002408 | 1010.1709,1010.1978,etc |
| 42 | probability density function | PDF | 45 | 3 | 2.001705 | 1010.3150,1010.3319,etc |
| 43 | semi definite programming | SDP | 16 | 3 | 1.001249 | 1010.4980,1010.5526,etc |
| 44 | analog to digital converter | ADC | 17 | 3 | 2.000179 | 1010.5524,1010.5529,etc |
| 45 | conformal field theory | CFT | 39 | 3 | 2.000971 | 1010.1344,1010.5519,etc |