Random Processes | Digital Signal Processing # 12 скачать в хорошем качестве

Random Processes | Digital Signal Processing # 12

☕️ Buy me a coffee: https://paypal.me/donationlink240 🙏🏻 Support me on Patreon:   / ahmadbazzi   📚About This lecture is dedicated for random processes and their importance in signal processing. We naturally arrive at the need of defining random processes due to the structure of the received signal which is a superposition of three components: an information-bearing signal, an interfering (or unwanted) signal and background noise. Random processes are thought of a time-varying random variable where each time sample in this random process is itself a random variable with its own distribution function. Indeed, random process lie in the core of any radio communication system and their understanding is crucial for an signal processing study. The lecture ends by showing how to generate a very simple random process on MATLAB. This lecture is outlined as follows: ⏲Outline 00:00 Highlights 00:20 Introduction 01:01 Radio Communication System 01:53 Received Signal 02:40 Information-bearing Signal 03:51 Interfering Signal 04:29 Noise Part 05:16 Random Processes 07:16 Average Power 08:48 Sample Space 16:18 Random Process on MATLAB 20:34 Summary 21:34 Outro 📙Previous Lectures Lecture 1: Signals & Systems    • Signals and Systems | Digital Signal Proce...   Lecture 2: Multichannel and Multidimensional signals    • Multichannel and Multidimensional signals ...   Lecture 3: Continuous-time & Discrete-time signals& Sampling    • Continuous-time & Discrete-time signals& S...   Lecture 4:    • Continuous-valued & Discrete-valued signal...   Lecture 5: Deterministic vs Random Signals    • Deterministic vs Random Signals | Digital ...   Lecture 6: Continuous-time sinusoidal signals & Phasors    • Continuous-time sinusoidal signals & Phaso...   Lecture 7: Discrete-time sinusoidal signals & Aliasing    • Discrete-time sinusoidal signals & Aliasin...   Lecture 8: Continuous Complex Exponentials & Fourier Series    • Continuous Complex Exponentials & Fourier ...   Lecture 9: Discrete Complex Exponentials & Fourier Series | Signal Processing    • Discrete Complex Exponentials & Fourier Se...   Lecture 10: Analog to Digital Converters    • Analog to Digital Converters | Digital Sig...   Lecture 11: Sampling Analog Signals    • Sampling Analog Signals | Digital Signal P...   📖 Related Content Proakis, John G., and Dimitris G. Manolakis. "Digital signal processing." PHI Publication: New Delhi, India (2004). https://www.amazon.com/Digital-Signal... Oppenheim, Alan V., John R. Buck, and Ronald W. Schafer. Discrete-time signal processing. Vol. 2. Upper Saddle River, NJ: Prentice Hall, 2001. https://www.amazon.fr/Digital-Signal-... MATLAB https://www.mathworks.com/products/ma... 💰Support My Channel Through Patreon:   / ahmadbazzi   💰One-Time Contribution Through PayPal: https://www.paypal.me/donationlink240 💰Cryptocurrency Donations: Bitcoin Wallet - 327qhzF7yxQa2CiyL1Vnd63ccuMyAH1Ss9 🔴 Subscribe for more videos on Machine Learning and Python. 👍 Smash that like button, in case you find this tutorial useful. 👁‍🗨 Speak up and comment, I am all ears. #SignalProcessing #RandomProcess #CommunicationSystems