DSP engineer, RF system architect
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- 70€/Stunde
- 83460 Les Arcs Sur Argens
- Weltweit
- fr | en
- 03.04.2020
Kurzvorstellung
Strong skills in wireless domain (NR 5G, LTE, 3G, Wifi and 2G) mainly on physical layer and signal processing. Good skills in hardware system architecture and protocol. Combined with a strong professional experience in time constraint embedded system
Qualifikationen
Projekt‐ & Berufserfahrung
Wireless DSP engineer (Festanstellung)
PCTEL, GermanTown
12/2017
–
2/2019
(1 Jahr, 3 Monate)
Tätigkeitszeitraum
12/2017 – 2/2019
Tätigkeitsbeschreibung
Creation of the 5G NR Simulation chain (UL & DL): for PSS, SSS detection, Channel estimation and equalizing for PBCH and CORESET, Forward Error Decoding for MIB, CORESET0, PDCCH, PDSCH.
Performance validation with fading channel profile and AWGN
Floating to fixed point Implementation on DSP TI C6x
Lab testing with R&S and Keysight tools for algorithm and product validation
4G (Telecommunication), Signalverarbeitung
Ausbildung
Master's degree
Computer Science (See details in attached resume)
1993
France
France
BS Degree
University Institute of Technology IUT, BS in Electrical/Electronic Engineering and Industrial Data
1990
France
France
Über mich
Signal processing: FEC (Polar and LDPC Decoding, Viterbi, Rate matching, (BP) Turbo coding, Hamming, Reed Solomon),
Linear filtering (IIR, FIR, Adaptive (Wiener, Kalman)), Linear algebra (pseudo inverse, QR, SVD)
Equalizer/interference mitigation (ZF/MMSE, MIMO/STBC, LMS, RAKE, channel estimation),
Estimation: frequency offset, IQ impairment, DC offset, Doppler freq/spreads, LLR
Spectrum analysis: Spectrum analysis: Pisarenko, MUSIC, EigenVector method
Modulation: PSK, QAM, FSK
Image processing: Bi-cubic interpolation, wavelet
Audio processing: PCM, equalizing, filtering, synthesis, LPC, Cepstral analysis, Dynamic Time Wrapping, Hidden Markov
model, ALSA
Machine learning: Genetic Algorithm, Neural network, Decision tree, Deep learning, Keras
DSP: TMS3200Cxx, ARM NEON, C development in fixed and floating point format
Networking: 5G NR, LTE, UMTS, GSM, ISDN, Wifi, Wimax, Bluetooth
Software: (Rt)OS (UNIX, LINUX, VxWorks), Languages (C/C++, Matlab, SPW, Python)
Electronics: Mixed signal, hardware architecture (ARM core, AHB), language (RTL, VHDL)
Linear filtering (IIR, FIR, Adaptive (Wiener, Kalman)), Linear algebra (pseudo inverse, QR, SVD)
Equalizer/interference mitigation (ZF/MMSE, MIMO/STBC, LMS, RAKE, channel estimation),
Estimation: frequency offset, IQ impairment, DC offset, Doppler freq/spreads, LLR
Spectrum analysis: Spectrum analysis: Pisarenko, MUSIC, EigenVector method
Modulation: PSK, QAM, FSK
Image processing: Bi-cubic interpolation, wavelet
Audio processing: PCM, equalizing, filtering, synthesis, LPC, Cepstral analysis, Dynamic Time Wrapping, Hidden Markov
model, ALSA
Machine learning: Genetic Algorithm, Neural network, Decision tree, Deep learning, Keras
DSP: TMS3200Cxx, ARM NEON, C development in fixed and floating point format
Networking: 5G NR, LTE, UMTS, GSM, ISDN, Wifi, Wimax, Bluetooth
Software: (Rt)OS (UNIX, LINUX, VxWorks), Languages (C/C++, Matlab, SPW, Python)
Electronics: Mixed signal, hardware architecture (ARM core, AHB), language (RTL, VHDL)
Weitere Kenntnisse
Qualification in:
- Signal processing
- Image processing
- Machine learning
- RF, SoC system architecture
- Audio processing
- Signal processing
- Image processing
- Machine learning
- RF, SoC system architecture
- Audio processing
Persönliche Daten
Sprache
- Englisch (Fließend)
- Französisch (Muttersprache)
Reisebereitschaft
Weltweit
Arbeitserlaubnis
- Europäische Union
- Vereinigte Staaten von Amerika
Profilaufrufe
1263
Alter
54
Berufserfahrung
29 Jahre
(seit 01/1996)
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