# Algorithmic SAR ADC simulation
Arithmetic Tracking Adaptive SAR ADC for Low-activity Signals which include EEG, ECG, EKG, industrial and 2D (image) signals.
Main files:
Arithmetic_Tracking_WorkingVersion.m : MATLAB file for simualtion behavior of the proposed SAR ADC
M_Bits_Fixed_ADC.m : MATLAB file for simualtion behavior of the a similiar tracking SAR ADC
Energy savings are two fold: 1. Cutting number of SAR cycles 2. Minimizing charge/decharge of MSB caps on DAC
However, some overhead of the tracking algorithms Digital circuitry
which of course can be alliviated by using high threshold transistors!
(dual supplying incurs extra cost so to curb digital logic consumption
it better to use high threshold transistors instead (if available)
# Contributions of this work
1. Arithmetic SAR instead of conventional SAR provides more flexibility in tracking
2. First order prediction is not cheap to implement (commonly requires a full adder/subtractor unit of its own along with a digital quantizer), whereas in the proposed work, this task is caried out by very simple circuit proposed by the authors.
3. Due to cheap first-order prediction number of bit-cycles and system response to sudden activity change is better that the state-of-the-art.
4. The authors did not stop at behavioral level and the algorithm was implemented in circuit level to demonstrated applicability of the method.
5. Out-of-range detection requires extra bit-cycles which add to overhead and reduces gains of predictive approach as shown in the paper, however the proposed work detect out-of-range conversion merely through inspection of bit sequence generated by the comparted. The whole procedure is carried out digitally as a simple state-machine, without incurring extra bit-cycles as previous works cited in the paper (e.g. [9],[18] and [26] in references)
# Citation
Please cite either of the following papers in case of using the provided simulations.
@article{inanlou2020arithmetic,
title={Arithmetic Tracking Adaptive SAR ADC for Signals with Low-activity Periods},
author={Inanlou, Reza and Safarpour, Mehdi and Silv{\'e}n, Olli},
journal={IEEE Access},
year={2020},
publisher={IEEE}
}
@inproceedings{safarpour2019reconfigurable,
title={A Reconfigurable Dual-Mode Tracking SAR ADC without Analog Subtraction},
author={Safarpour, Mehdi and Inanlou, Reza and Silv{\'e}n, Olli and Rahkonen, Timo and Shoaei, Omid},
booktitle={2019 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)},
pages={28--32},
year={2019},
organization={IEEE}
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毕业设计&课设-跟踪SAR ADC的HSPICE和MATLAB仿真文件.zip (51个子文件)
matlab_codings_tt
SPICE model
_FNADFF_M.SP 332B
_NOR8.SP 303B
_XOR_4ND.SP 294B
_Ccomp.SP 729B
_NADFF.SP 1KB
_NE_DFF.SP 701B
_AND2.SP 452B
_NOT.SP 327B
_F_4BCNT.SP 348B
_F_4NADFF.SP 309B
_OR2.SP 484B
_DFF.SP 380B
_IVR.SP 521B
_Mux2-1.SP 310B
readme.md 49B
_FA.SP 326B
_NOR2.SP 429B
_NAND3.SP 563B
_AND4.SP 281B
_NAND2.SP 440B
10_bit-arthsar_final.mt0 330B
_SRIVR10.SP 846B
_F_10BFA.SP 880B
_Mono-comp-Low.SP 837B
_ADSB.SP 1KB
_DFF1.SP 386B
_OR4.SP 278B
_NASRL.SP 268B
_ADSBN.SP 1KB
_NOR10.SP 389B
_NOTD.SP 323B
_MIL.log 397B
_NOR4.SP 300B
MATLAB model
ecgsyn.m 7KB
sar.m 1KB
Lenna.png 463KB
predict.m 180B
comparator.m 83B
GenerateTestSignal.m 673B
readme.md 876B
M_Bits_Fixed_ADC.m 3KB
sar_adc.m 816B
derivsecgsyn.m 2KB
dac_block.m 110B
sar_logic.m 201B
M_Bit_Fixed_With_1th_Order_Predication.m 4KB
Arithmetic_Tracking_WorkingVersion.m 7KB
getWeights.m 178B
update_digits.m 291B
DAC.m 90B
README.md 3KB
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- 1
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