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A 0.26 dB Noise-Figure 2.4 mW-Power Low-Noise-Amplifier with Auto-Tuned Pseudo-Resistors for Ionoacoustic Range Verification.

, , , , , and . PRIME, page 125-128. IEEE, (2023)

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Quality-Scalable Approximate LMS Filter., , , , and . ICECS, page 849-852. IEEE, (2018)Variable-Rounded LMS Filter for Low-Power Applications., , , , and . ApplePies, volume 627 of Lecture Notes in Electrical Engineering, page 155-161. Springer, (2019)A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures., , , , , , , , , and 16 other author(s). CoRR, (2023)Novel Low-Power Floating-Point Divider With Linear Approximation and Minimum Mean Relative Error., , and . IEEE Trans. Circuits Syst. I Regul. Pap., 70 (12): 5275-5288 (December 2023)A 1.45 GHz All-Digital Spread Spectrum Clock Generator in 65nm CMOS for Synchronization-Free SoC Applications., , , , and . IEEE Trans. Circuits Syst., 67-I (11): 3839-3852 (2020)A novel low-power DLMS adaptive filter with sign-magnitude learning and approximated FIR section., , , and . PRIME, page 217-220. IEEE, (2022)Design of Low-Power Approximate LMS Filters with Precision-Scalability., , , , and . ApplePies, page 237-243. Springer, (2018)On the Use of Approximate Multipliers in LMS Adaptive Filters., , , , , and . ISCAS, page 1-5. IEEE, (2018)Low-Power Approximate Multiplier with Error Recovery using a New Approximate 4-2 Compressor., , , , and . ISCAS, page 1-4. IEEE, (2020)A 0.26 dB Noise-Figure 2.4 mW-Power Low-Noise-Amplifier with Auto-Tuned Pseudo-Resistors for Ionoacoustic Range Verification., , , , , and . PRIME, page 125-128. IEEE, (2023)