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Filters: Frequency Selective
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Signals & Systems Review
Provides a comprehensive review of signals and systems, covering topics such as time-domain analysis, frequency-domain analysis, and Fourier transform.
Signals and Systems: Sampling Theorem and Applications
Discusses the sampling theorem and its applications in signal processing.
Mobile Networks: Essential Transformations
Explores the evolution and impact of mobile networks, discussing the challenges and advancements in wireless technologies.
Memory Cache Organization and Signal Filtering
Discusses memory cache organization and signal filtering techniques using a moving average filter to recover desired signals.
Smart Sensors for the IoT: ADCs Fundamentals
Explores ADCs fundamentals for IoT smart sensors, covering quantization, non-idealities, and topologies.
Signal Processing: Basics and Applications
Covers the basics of signal processing, including Fourier transform, linear systems, and signal manipulation.
Image Processing: Smoothing and Filtering
Covers image smoothing, noise reduction, and segmentation techniques using filters and transforms.
Fourier Transform: Basics and Examples
Explains the basics of Fourier transform and demonstrates its application through examples, including periodic functions and Fourier Transform Pairs.
Digital Filters: Structure and Implementation
Explores digital filters, their implementation, characteristics, and realizations, with examples for illustration.
Filters: High-pass and Low-pass
Covers high-pass and low-pass filters, analyzing signal blocking for specific frequencies and relating circuit elements to filter functionality.