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Lecture
The success factors for digital communications
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Related lectures (30)
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Signal Processing: Basics and Spectral Analysis
Covers the basics of signal processing, linear estimation, and digital filters.
Digital Filters: Implementation and Analysis
Explores digital filters' implementation, cyclic convolution, FFT-based filtering, and the importance of filtering in signal processing.
Frequency Response Analysis: Linear Systems and Filters
Covers the frequency response of linear systems and filter design principles.
Principles of Digital Communication
Covers the principles of digital communication, focusing on the Nyquist Sampling Theorem and signal space dimension.
Linear Phase Filters: Theory and Design
Explores the theory and design of linear phase filters, emphasizing the importance of achieving optimal filter performance.
Noise Reduction Techniques
Explores various noise reduction techniques, including impedance matching, temperature reduction, and bandwidth reduction.
RIF Filters: Characteristics and Synthesis
Explores the characteristics and synthesis of RIF filters, including windowing operations and linear phase filters.
Passband Communications Design
Covers the design of passband communications and the use of recipies and complex-valued signals.
What is digital signal processing
Covers the concept of time, discrete time practicality, sampling theorem, digital storage, transmission of signals, and key ideas of digital signal processing.
Digital Filtering: Butterworth Filter Design
Explores digital Butterworth filter design, covering scaling, stable poles, and filter application.
