Joumana
Trusted teacher
I am a Doctor of Engineering, 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 Signal Processing course, I mainly cover the following subjects (non-exhaustive list): Signal Transformations. Singular functions. Properties of continuous and discrete systems. Linear Time Invariant Systems. Convolution. Correlation. Fourier series. Fourier Transform. Energy and power spectral densities. Random Signals. Hilbert Transform. Z-transform. Discrete-Time Fourier Transform (DTFT). Discrete Fourier Transform (DFT). Fast Fourier Transform (FFT). Design of Digital Filters. Applications. 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!
I am a Doctor-Engineer, Professor, graduated from Paris VI and the University of Grenoble. University teacher-researcher since 2002, I teach the following subjects: Signal and image processing, Digital communications, Mobile networks, Video / audio compression, Information theory, Coding, Sensors. I teach my classes in French or English. I have worked for a long time and still work on the development of mobile communications systems (from 3G to 5G). In addition to my teaching, I supervised a large number of engineering degree and master's degree projects, as well as doctoral theses. I have to my credit 9 invention patents and more than a hundred articles in signal processing and mobile networks. I can help you succeed with your exams and projects. My teaching methodology: I explain the concepts interactively, including practical examples and answering the student's questions. I guide him in the assimilation and synthesis of the different techniques in telecommunications engineering. Signal processing, communications systems, mobile networks (4G, 5G) and Computer Vision will hold no secrets for you!
I am a Doctor of Engineering, 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 Image Processing course, I mainly cover the following subjects (non-exhaustive list): Image transformations, Histogram equalization and specification, Image enhancement, Spatial filtering. Discrete Fourier Transform (DFT) of an image, Frequency-domain filtering, Correlation. Noise and distortion. Image restoration methods. Mathematical morphology: techniques and algorithms. Color representation, Color image processing. Image segmentation techniques. Image classification techniques. 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!
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 this course, I mainly cover the following subjects (non-exhaustive list): Compression of images and video sequences: Lossy and lossless compression techniques. Variable Length Coding (VLC) techniques. Arithmetic coding. Lempel-Ziv coding. Rate-Distortion theory. Transform coding (Walsh-Hadamard, Karhunen-Loeve, Haar, Discrete Cosine Transform. Main compression standards. Wavelet coding. JPEG standard, JPEG2000. Video encoder/decoder. Motion estimation techniques. H263 and H263+ encoders. H264, H265, MPEG4 and MPEG7 standards. Coding of audio signals: redundancies in audio signals. Vector quantization. Differential coding. ADPCM. LPC and CELP encoders. Subband coding, MP3 encoder. 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!
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!

Reviews (3)

Joumana m'a énormément aidé pour valider ma matière et mes examens en traitement du signal. Elle explique de manière très claire et donne de très bon conseils.
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.
Très bonnes explications!

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