x # Signals Systems

Processing signals need a lot of expertise and you have to be sure that you are aware of the core principles that govern the usage. We have some of best signals & Systems video lectures which will teach you about the core details of the different aspects of signal processing.

Digital communications and digital signal processing are two broad topics that we have discussed in thorough details. When you want to make an estimate of the signals, you can find video tutorials devoted to the same as well. With wireless communication and communication engineering, you will learn some of the most important concepts. Those who want to understand the core details of signal processing will learn a lot from the detailed online lectures.

The Fourier transform is one of the basic theorems which have widespread applications. We have one whole series of online videos devoted to Fourier transform and these lectures will guide you with the basics of the theorem. After you grasp an understanding of the theorem, we will proceed to the subsequent applications and then you can understand the details meticulously.

Signal processing is an extremely wide topic and we have online lectures focused upon adaptive signal processing. There are too many details that one must know and we have kept the ideas and details in mind while designing the same. This is why our video lectures are so designed that following the steps will help you in improving the overall expertise and knowledge which you have in this field of signal processing.

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The black-box approach. Physical instances and their adaptation in the framework - Formal definition of 'signal' and 'system'. The domain and range variables, continuous and d
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Contents: Introduction to Speech Processing - Speech Analysis - Linear Predictive Coding (LPC) - Speech Coding I -Time - Frequency Analysis -Auditory Masking & Widebank Audio
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Processing and analysis of continuous (analogue) and discrete-time (digital) signals. Sampling continuous signals: the sampling theorem, reconstruction, aliasing and the z-tra
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MIT Fall 2006
Introduction: A layered view of digital communication - Discrete source encoding-Memory-less sources, prefix free codes, and entropy - Entropy and asymptotic equipartition pro
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Contents: Introduction to Linearity and Nonlinearity - Distributed & Lumped Parameters 2-port Networks - Two-port Parameters Short Circuit,Open Circuit - Locus Diagram - Intr
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Contents: Introduction - Probability Theory -Random Variables - Function of Random Variable Joint Density - Mean and Variance - Random Vectors Random Processes - Random Proc
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Contents: Discrete Time Signal and System - Frequency Domain Representation of Discrete Signals - Z-Transform - Solution of Difference Equation - Relation Between Discrete Ti
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Introduction, Types of Wireless communication, cellular concept, Cell capacity and reuse, Interference and System capacity, Improving coverage, Mobile Radio Propagation, Modul
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Contents: Introduction - Digital Systems - Characterization Description,Testing of Digital Syst - LTI Systems Step & Impulse Responses,Convolution - Inverse Systems,Stability
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Introduction, Image Digitization, Pixel Relationships, Transformations, Pixel Relationships, Image Interpolation, Image Transformation, Fourier Transformation, Discrete Cosine
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Introduction, Communication channel, Brief Review of Signal and Systems,The Hilbert Transform, Amplitude Modulation, Angle Modulation, AM, FM, FM Generation and Detection, Dem
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Introduction to Broadband Networks, Qos in Packet Switching and ATM networks, Effective Bandwidth, Fluid Fair Queueing and Weighted Fair Queueing, TCP Congestion Control, Anal
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Introduction, Sampling, Quantization , PCM and Delta Modulation, Probability and Random Processes, Channel Models, Information Theory, Bandpass Signal Representation, Digital
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Contents: Introduction to Adaptive Filters, Introduction to Stochastic Processes, Correlation Structure, FIR Wiener Filter, LMS Algorithm, Convergence Analysis, Sign LMS Algo
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Contents: Overview Of Linear Dynamical Systems - Linear Functions - Linearization - Nullspace Of A Matrix - Orthonormal Set Of Vectors - Least-Squares - Least-Squares Polynom
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Introduction, Layered Architecture, Transmission Impairments and Channel Capacity, Guided Transmission Media, Unguided Media, Transmission of Digital and analog Signal, Multip
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Contents: Fourier series - Periodicity; How Sine And Cosine Can Be Used To Model More Complex Functions - Analyzing General Periodic Phenomena As A Sum Of Simple Periodic Phe
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Sampling Theorem and Orthonormal PAM/QAM - Capacity of AWGN Channels-Performance of Small Signal Constellations - Hard-decision and Soft-decision Decoding - Introduction to Bi
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