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Trusted teacher: I am a Doctor of Engineering, a graduate of Paris VI and the University of Grenoble. I am a University Professor since 2002. I teach my courses in English and French. In my Digital Communications course, I mainly cover the following subjects (non-exhaustive list): Digitization of signals: sampling – quantification – coding. Pulse modulations (PAM, PWM, PPM, etc.). Pulse Code Modulation (PCM) - Quantization noise Uniform and non-uniform quantization - Companding laws. Line coding techniques – Spectral density calculations Differential modulations (Delta Modulation – Delta-Sigma Modulation – DPCM – ADPCM) Multiple Access Techniques: TDMA, FDMA, CDMA Matched filtering - Error probability – Inter-symbol Interference Nyquist's Criterion - Raised cosine filter – Eye Pattern Digital modulations: BPSK, QPSK, MPSK, MQAM, FSK, GMSK, etc. Error probability of digital modulations Spread-spectrum techniques. In my Mobile Communications course, I mainly cover the following subjects (non-exhaustive list): Cellular Networks. Frequency reuse. Multiple access techniques. Transmission channel impairments: additive noise, path loss, shadowing, multipath, Doppler shift, etc. Diversity techniques. GSM system: architecture. Interferences. System capacity. Trunking and Grade of Service. Cell Splitting. Sectoring. Distributed Antenna Systems. Frequency hopping. MIMO. 3G systems: Spread-Spectrum techniques. Spreading and scrambling codes. The architecture of the UMTS system. Synchronization. Handover procedures. Channel estimation. 4G (LTE-Advanced) systems: Orthogonal Frequency Division Multiplexing (OFDM). Cyclic prefix. Transceiver design. Phase noise and PAPR (peak to average power ratio) problems. SC-FDMA (Single Carrier Frequency Division Multiple Access) for uplink. Resource allocation techniques in 4G and 5G systems. I can help you pass your exams and projects. My teaching methodology: I explain the concepts in an interactive way, including practical examples and answering the student's questions. I guide the student in the assimilation and synthesis of the different techniques in telecommunications engineering. Signal processing techniques will no longer have any secrets for you!
Telecommunications · Engineering
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 57 reviews.

Private coding / programming lessons with python (Paris)
Highly recommended teacher!!! Matias teaching methods are great. Very clear and concise. Doesn’t waste your time explaining meaningless background information and always lectures with the intent to help you understand the material. He’s helped me understand content for my master course on Python and is one of the best lecturers that I’ve had. Your passion and dedication is beyond words! Thank you for getting me through this hard quick semester, I honestly would have never passed if it was not for your help! Thank you so much once again!
Review by JURIS
Online course in Signal Processing, Image Processing, Digital Communications, Mobile Communications, Multimedia and Sensors
The tuition I received allowed me to fill the gaps in my understanding of image processing for space applications. Joumana explained the concepts / applications through theory and mathematical examples. I can highly recommend the lessons for any student who wishes to improve their knowledge.
Review by MARK
Math, Physic, Engineering, English and Turkish Language (Esch-sur-Alzette)
Kivanc is a very kind and friendly tutor, he responded to my messages very quickly and is always on time. Once connection was established communication was via phone messages and he communicates very well and effective. He is very knowledgeable and interacts well with my son.